1105 lines
346 KiB
Plaintext
1105 lines
346 KiB
Plaintext
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{"idx": "0", "label": "not_entailment", "sentence1": "The cat sat on the mat.", "sentence2": "The cat did not sit on the mat.", "logic": "Negation"}
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{"idx": "1", "label": "not_entailment", "sentence1": "The cat did not sit on the mat.", "sentence2": "The cat sat on the mat.", "logic": "Negation"}
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{"idx": "2", "label": "not_entailment", "sentence1": "When you've got no snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", "sentence2": "When you've got snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", "logic": "Negation"}
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{"idx": "3", "label": "not_entailment", "sentence1": "When you've got snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", "sentence2": "When you've got no snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", "logic": "Negation"}
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{"idx": "4", "label": "not_entailment", "sentence1": "Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.", "sentence2": "Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.", "logic": "Negation"}
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{"idx": "5", "label": "not_entailment", "sentence1": "Out of the box, Ouya doesn't support media apps such as Twitch.tv and XBMC media player.", "sentence2": "Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.", "logic": "Negation"}
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{"idx": "6", "label": "entailment", "sentence1": "Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.", "sentence2": "Out of the box, Ouya supports Twitch.tv and XBMC media player.", "predicate-argument-structure": "Anaphora/Coreference"}
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{"idx": "7", "label": "entailment", "sentence1": "Out of the box, Ouya supports Twitch.tv and XBMC media player.", "sentence2": "Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.", "predicate-argument-structure": "Anaphora/Coreference"}
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{"idx": "8", "label": "not_entailment", "sentence1": "Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.", "sentence2": "Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.", "logic": "Negation"}
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{"idx": "9", "label": "not_entailment", "sentence1": "Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.", "sentence2": "Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.", "logic": "Negation"}
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{"idx": "10", "label": "not_entailment", "sentence1": "The new gaming console is affordable.", "sentence2": "The new gaming console is unaffordable.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "11", "label": "not_entailment", "sentence1": "The new gaming console is unaffordable.", "sentence2": "The new gaming console is affordable.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "12", "label": "not_entailment", "sentence1": "Brexit is an irreversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.", "sentence2": "Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "13", "label": "not_entailment", "sentence1": "Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.", "sentence2": "Brexit is an irreversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "14", "label": "not_entailment", "sentence1": "We built our society on unclean energy.", "sentence2": "We built our society on clean energy.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "15", "label": "not_entailment", "sentence1": "We built our society on clean energy.", "sentence2": "We built our society on unclean energy.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "16", "label": "not_entailment", "sentence1": "Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "sentence2": "Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "17", "label": "not_entailment", "sentence1": "Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "sentence2": "Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "lexical-semantics": "Morphological negation", "logic": "Negation"}
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{"idx": "18", "label": "entailment", "sentence1": "Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "sentence2": "Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.", "predicate-argument-structure": "Intersectivity"}
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{"idx": "19", "label": "not_entailment", "sentence1": "Pursuing a strategy of protest, Gandhi took the administration by surprise and won concessions from the authorities.", "sentence2": "Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.", "predicate-argument-structure": "Intersectivity"}
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{"idx": "20", "label": "not_entailment", "sentence1": "And if both apply, they are essentially impossible.", "sentence2": "And if both apply, they are essentially possible.", "lexical-semantics": "Morphological negation", "logic": "Negation;Conditionals"}
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{"idx": "21", "label": "not_entailment", "sentence1": "And if both apply, they are essentially possible.", "sentence2": "And if both apply, they are essentially impossible.", "lexical-semantics": "Morphological negation", "logic": "Negation;Conditionals"}
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{"idx": "22", "label": "entailment", "sentence1": "Writing Java is not too different from programming with handcuffs.", "sentence2": "Writing Java is similar to programming with handcuffs.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "23", "label": "entailment", "sentence1": "Writing Java is similar to programming with handcuffs.", "sentence2": "Writing Java is not too different from programming with handcuffs.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "24", "label": "entailment", "sentence1": "The market is about to get harder, but not impossible to navigate.", "sentence2": "The market is about to get harder, but possible to navigate.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "25", "label": "entailment", "sentence1": "The market is about to get harder, but possible to navigate.", "sentence2": "The market is about to get harder, but not impossible to navigate.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "26", "label": "entailment", "sentence1": "Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.", "sentence2": "Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "27", "label": "entailment", "sentence1": "Even after now finding out that it's animal feed, I will never stop being addicted to Flamin' Hot Cheetos.", "sentence2": "Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "28", "label": "entailment", "sentence1": "He did not disagree with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.", "sentence2": "He agreed with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "29", "label": "entailment", "sentence1": "He agreed with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.", "sentence2": "He did not disagree with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "30", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would not be unexpected.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "31", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would not be unexpected.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "lexical-semantics": "Morphological negation", "logic": "Double negation"}
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{"idx": "32", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would be expected to negatively impact the pipeline results.", "predicate-argument-structure": "Nominalization"}
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{"idx": "33", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would be expected to negatively impact the pipeline results.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "predicate-argument-structure": "Nominalization"}
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{"idx": "34", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.", "lexical-semantics": "Morphological negation", "predicate-argument-structure": "Nominalization", "logic": "Double negation"}
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{"idx": "35", "label": "entailment", "sentence1": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.", "sentence2": "If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.", "lexical-semantics": "Morphological negation", "predicate-argument-structure": "Nominalization", "logic": "Double negation"}
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{"idx": "36", "label": "not_entailment", "sentence1": "The water is too hot.", "sentence2": "The water is too cold.", "lexical-semantics": "Lexical entailment"}
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{"idx": "37", "label": "not_entailment", "sentence1": "The water is too cold.", "sentence2": "The water is too hot.", "lexical-semantics": "Lexical entailment"}
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{"idx": "38", "label": "not_entailment", "sentence1": "Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.", "sentence2": "Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.", "lexical-semantics": "Lexical entailment"}
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{"idx": "39", "label": "not_entailment", "sentence1": "Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.", "sentence2": "Falcon Heavy is the largest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.", "lexical-semantics": "Lexical entailment"}
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{"idx": "40", "label": "not_entailment", "sentence1": "Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.", "sentence2": "Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.", "lexical-semantics": "Lexical entailment"}
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{"idx": "41", "label": "not_entailment", "sentence1": "Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.", "sentence2": "Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.", "lexical-semantics": "Lexical entailment"}
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{"idx": "42", "label": "not_entailment", "sentence1": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "43", "label": "not_entailment", "sentence1": "In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "44", "label": "entailment", "sentence1": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "45", "label": "entailment", "sentence1": "In example (1) it is quite easy to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "46", "label": "not_entailment", "sentence1": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "47", "label": "not_entailment", "sentence1": "In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "sentence2": "In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.", "lexical-semantics": "Lexical entailment"}
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{"idx": "48", "label": "entailment", "sentence1": "Some dogs like to scratch their ears.", "sentence2": "Some animals like to scratch their ears.", "lexical-semantics": "Lexical entailment", "logic": "Upward monotone"}
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{"idx": "49", "label": "not_entailment", "sentence1": "Some animals like to scratch their ears.", "sentence2": "Some dogs like to scratch their ears.", "lexical-semantics": "Lexical entailment", "logic": "Upward monotone"}
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{"idx": "50", "label": "not_entailment", "sentence1": "Cruz has frequently derided as \"amnesty\" various plans that confer legal status or citizenship on people living in the country illegally.", "sentence2": "Cruz has frequently derided as \"amnesty\" various bills that confer legal status or citizenship on people living in the country illegally.", "logic": "Upward monotone", "knowledge": "World knowledge"}
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{"idx": "51", "label": "entailment", "sentence1": "Cruz has frequently derided as \"amnesty\" various bills that confer legal status or citizenship on people living in the country illegally.", "sentence2": "Cruz has frequently derided as \"amnesty\" various plans that confer legal status or citizenship on people living in the country illegally.", "logic": "Upward monotone", "knowledge": "World knowledge"}
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{"idx": "52", "label": "entailment", "sentence1": "Most of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "Some of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "53", "label": "not_entailment", "sentence1": "Some of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "Most of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "54", "label": "entailment", "sentence1": "In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "sentence2": "In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
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{"idx": "55", "label": "not_entailment", "sentence1": "In many areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "sentence2": "In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
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{"idx": "56", "label": "entailment", "sentence1": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider some words as positive examples and sample negatives at random from the dictionary.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
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{"idx": "57", "label": "not_entailment", "sentence1": "We consider some words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
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{"idx": "58", "label": "not_entailment", "sentence1": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider all context words as positive examples and sample many negatives at random from the dictionary.", "lexical-semantics": "Quantifiers"}
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{"idx": "59", "label": "not_entailment", "sentence1": "We consider all context words as positive examples and sample many negatives at random from the dictionary.", "sentence2": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "lexical-semantics": "Quantifiers"}
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{"idx": "60", "label": "not_entailment", "sentence1": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider many context words as positive examples and sample negatives at random from the dictionary.", "lexical-semantics": "Quantifiers"}
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{"idx": "61", "label": "entailment", "sentence1": "We consider many context words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider some context words as positive examples and sample negatives at random from the dictionary.", "lexical-semantics": "Quantifiers"}
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{"idx": "62", "label": "not_entailment", "sentence1": "We consider all context words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider all words as positive examples and sample negatives at random from the dictionary.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
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{"idx": "63", "label": "entailment", "sentence1": "We consider all words as positive examples and sample negatives at random from the dictionary.", "sentence2": "We consider all context words as positive examples and sample negatives at random from the dictionary.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
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{"idx": "64", "label": "not_entailment", "sentence1": "All dogs like to scratch their ears.", "sentence2": "All animals like to scratch their ears.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
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{"idx": "65", "label": "entailment", "sentence1": "All animals like to scratch their ears.", "sentence2": "All dogs like to scratch their ears.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
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{"idx": "66", "label": "entailment", "sentence1": "Cruz has frequently derided as \"amnesty\" any plan that confers legal status or citizenship on people living in the country illegally.", "sentence2": "Cruz has frequently derided as \"amnesty\" any bill that confers legal status or citizenship on people living in the country illegally.", "logic": "Downward monotone", "knowledge": "World knowledge"}
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{"idx": "67", "label": "not_entailment", "sentence1": "Cruz has frequently derided as \"amnesty\" any bill that confers legal status or citizenship on people living in the country illegally.", "sentence2": "Cruz has frequently derided as \"amnesty\" any plan that confers legal status or citizenship on people living in the country illegally.", "logic": "Downward monotone", "knowledge": "World knowledge"}
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{"idx": "68", "label": "not_entailment", "sentence1": "Most of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "None of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "69", "label": "not_entailment", "sentence1": "None of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "Most of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "70", "label": "not_entailment", "sentence1": "Most of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "All of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "71", "label": "not_entailment", "sentence1": "All of the graduates of my program have moved on to other things because the jobs suck.", "sentence2": "Most of the graduates of my program have moved on to other things because the jobs suck.", "lexical-semantics": "Quantifiers"}
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{"idx": "72", "label": "entailment", "sentence1": "In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "sentence2": "In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
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{"idx": "73", "label": "not_entailment", "sentence1": "In all developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "sentence2": "In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
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{"idx": "74", "label": "entailment", "sentence1": "Tom and Adam were whispering in the theater.", "sentence2": "Tom and Adam were whispering quietly in the theater.", "lexical-semantics": "Redundancy"}
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{"idx": "75", "label": "entailment", "sentence1": "Tom and Adam were whispering quietly in the theater.", "sentence2": "Tom and Adam were whispering in the theater.", "lexical-semantics": "Redundancy"}
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{"idx": "76", "label": "not_entailment", "sentence1": "Tom and Adam were whispering in the theater.", "sentence2": "Tom and Adam were whispering loudly in the theater.", "lexical-semantics": "Redundancy"}
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{"idx": "77", "label": "entailment", "sentence1": "Tom and Adam were whispering loudly in the theater.", "sentence2": "Tom and Adam were whispering in the theater.", "lexical-semantics": "Redundancy"}
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{"idx": "78", "label": "entailment", "sentence1": "Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.", "sentence2": "Prior to the dance, which is voluntary, students are told to fill out a card by selecting five different people they want to dance with.", "lexical-semantics": "Redundancy"}
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{"idx": "79", "label": "entailment", "sentence1": "Prior to the dance, which is voluntary, students are told to fill out a card by selecting five different people they want to dance with.", "sentence2": "Prior to the dance, which is voluntary, students are told to fill out a card by selecting five people they want to dance with.", "lexical-semantics": "Redundancy"}
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{"idx": "80", "label": "entailment", "sentence1": "Notifications about Farmville and other crap had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.", "sentence2": "Notifications about Farmville and other crappy apps had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.", "lexical-semantics": "Redundancy"}
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{"idx": "81", "label": "entailment", "sentence1": "Notifications about Farmville and other crappy apps had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.", "sentence2": "Notifications about Farmville and other crap had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.", "lexical-semantics": "Redundancy"}
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{"idx": "82", "label": "entailment", "sentence1": "Chicago City Hall is the official seat of government of the City of Chicago.", "sentence2": "Chicago City Hall is the official seat of government of Chicago.", "lexical-semantics": "Redundancy"}
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{"idx": "83", "label": "entailment", "sentence1": "Chicago City Hall is the official seat of government of Chicago.", "sentence2": "Chicago City Hall is the official seat of government of the City of Chicago.", "lexical-semantics": "Redundancy"}
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{"idx": "84", "label": "entailment", "sentence1": "The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.", "sentence2": "The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous other formulations of the task.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "85", "label": "entailment", "sentence1": "The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous other formulations of the task.", "sentence2": "The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "86", "label": "entailment", "sentence1": "John ate pasta for dinner.", "sentence2": "John ate pasta for supper.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "87", "label": "entailment", "sentence1": "John ate pasta for supper.", "sentence2": "John ate pasta for dinner.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "88", "label": "not_entailment", "sentence1": "John ate pasta for dinner.", "sentence2": "John ate pasta for breakfast.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "89", "label": "not_entailment", "sentence1": "John ate pasta for breakfast.", "sentence2": "John ate pasta for dinner.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "90", "label": "entailment", "sentence1": "House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.", "sentence2": "House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "91", "label": "entailment", "sentence1": "House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.", "sentence2": "House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "92", "label": "not_entailment", "sentence1": "House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.", "sentence2": "House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "93", "label": "not_entailment", "sentence1": "House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.", "sentence2": "House Speaker Paul Ryan was facing problems uniquely from fellow Republicans dissatisfied with his leadership.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "94", "label": "entailment", "sentence1": "I can actually see him climbing into a Lincoln saying this.", "sentence2": "I can actually see him getting into a Lincoln saying this.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "95", "label": "entailment", "sentence1": "I can actually see him getting into a Lincoln saying this.", "sentence2": "I can actually see him climbing into a Lincoln saying this.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "96", "label": "not_entailment", "sentence1": "I can actually see him climbing into a Lincoln saying this.", "sentence2": "I can actually see him climbing into a Mazda saying this.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "97", "label": "not_entailment", "sentence1": "I can actually see him climbing into a Mazda saying this.", "sentence2": "I can actually see him climbing into a Lincoln saying this.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "98", "label": "entailment", "sentence1": "The villain is the character who tends to have a negative effect on other characters.", "sentence2": "The villain is the character who tends to have a negative impact on other characters.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "99", "label": "entailment", "sentence1": "The villain is the character who tends to have a negative impact on other characters.", "sentence2": "The villain is the character who tends to have a negative effect on other characters.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "100", "label": "not_entailment", "sentence1": "The villain is the character who tends to have a negative effect on other characters.", "sentence2": "The villain is the character who tends to have a negative correlation with other characters.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "101", "label": "not_entailment", "sentence1": "The villain is the character who tends to have a negative correlation with other characters.", "sentence2": "The villain is the character who tends to have a negative effect on other characters.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "102", "label": "entailment", "sentence1": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing typically needs a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "103", "label": "entailment", "sentence1": "Semantic parsing typically needs a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "104", "label": "not_entailment", "sentence1": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing typically creates a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "105", "label": "not_entailment", "sentence1": "Semantic parsing typically creates a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "106", "label": "not_entailment", "sentence1": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "107", "label": "not_entailment", "sentence1": "Semantic parsing infrequently creates a set of operations to query the knowledge base and process the results.", "sentence2": "Semantic parsing typically requires using a set of operations to query the knowledge base and process the results.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "108", "label": "entailment", "sentence1": "John broke the window.", "sentence2": "The window was broken by John.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "109", "label": "entailment", "sentence1": "The window was broken by John.", "sentence2": "John broke the window.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "110", "label": "not_entailment", "sentence1": "John broke the window.", "sentence2": "The window broke John.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "111", "label": "not_entailment", "sentence1": "The window broke John.", "sentence2": "John broke the window.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "112", "label": "entailment", "sentence1": "Mueller\u2019s team asked former senior Justice Department officials for information.", "sentence2": "Former senior Justice Department officials were asked for information by Mueller's team.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "113", "label": "entailment", "sentence1": "Former senior Justice Department officials were asked for information by Mueller's team.", "sentence2": "Mueller\u2019s team asked former senior Justice Department officials for information.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "114", "label": "not_entailment", "sentence1": "Mueller\u2019s team asked former senior Justice Department officials for information.", "sentence2": "Mueller\u2019s team was asked for information by former senior Justice Department officials.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "115", "label": "not_entailment", "sentence1": "Mueller\u2019s team was asked for information by former senior Justice Department officials.", "sentence2": "Mueller\u2019s team asked former senior Justice Department officials for information.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "116", "label": "not_entailment", "sentence1": "Mueller\u2019s team asked former senior Justice Department officials for information.", "sentence2": "Mueller\u2019s team was asked for information.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "117", "label": "not_entailment", "sentence1": "Mueller\u2019s team was asked for information.", "sentence2": "Mueller\u2019s team asked former senior Justice Department officials for information.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "118", "label": "not_entailment", "sentence1": "Mueller\u2019s team asked former senior Justice Department officials for information.", "sentence2": "Former senior Justice Department officials weren't asked for information.", "predicate-argument-structure": "Active/Passive", "logic": "Negation"}
|
||
|
|
{"idx": "119", "label": "not_entailment", "sentence1": "Former senior Justice Department officials weren't asked for information.", "sentence2": "Mueller\u2019s team asked former senior Justice Department officials for information.", "predicate-argument-structure": "Active/Passive", "logic": "Negation"}
|
||
|
|
{"idx": "120", "label": "entailment", "sentence1": "Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.", "sentence2": "Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "121", "label": "entailment", "sentence1": "Everyone should be afraid of the part when Congress was asked to allow his cabinet secretaries to terminate whoever they want.", "sentence2": "Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "122", "label": "not_entailment", "sentence1": "Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.", "sentence2": "Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "123", "label": "not_entailment", "sentence1": "Everyone should be afraid of the part when he was asked to allow his cabinet secretaries to terminate whoever they want.", "sentence2": "Everyone should be afraid of the part when he asked Congress to allow his cabinet secretaries to terminate whoever they want.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "124", "label": "entailment", "sentence1": "Cape sparrows eat seeds, along with soft plant parts and insects.", "sentence2": "Seeds, along with soft plant parts and insects, are eaten by cape sparrows.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "125", "label": "entailment", "sentence1": "Seeds, along with soft plant parts and insects, are eaten by cape sparrows.", "sentence2": "Cape sparrows eat seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "126", "label": "not_entailment", "sentence1": "Cape sparrows eat seeds, along with soft plant parts and insects.", "sentence2": "Cape sparrows are eaten by seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "127", "label": "not_entailment", "sentence1": "Cape sparrows are eaten by seeds, along with soft plant parts and insects.", "sentence2": "Cape sparrows eat seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "128", "label": "not_entailment", "sentence1": "Cape sparrows eat seeds, along with soft plant parts and insects.", "sentence2": "Cape sparrows are eaten.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "129", "label": "not_entailment", "sentence1": "Cape sparrows are eaten.", "sentence2": "Cape sparrows eat seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "130", "label": "not_entailment", "sentence1": "Cape sparrows eat seeds, along with soft plant parts and insects.", "sentence2": "Soft plant parts and insects eat seeds.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "131", "label": "not_entailment", "sentence1": "Soft plant parts and insects eat seeds.", "sentence2": "Cape sparrows eat seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "132", "label": "entailment", "sentence1": "Cape sparrows eat seeds, along with soft plant parts and insects.", "sentence2": "Soft plant parts and insects are eaten.", "predicate-argument-structure": "Active/Passive;Prepositional phrases"}
|
||
|
|
{"idx": "133", "label": "not_entailment", "sentence1": "Soft plant parts and insects are eaten.", "sentence2": "Cape sparrows eat seeds, along with soft plant parts and insects.", "predicate-argument-structure": "Active/Passive;Prepositional phrases"}
|
||
|
|
{"idx": "134", "label": "entailment", "sentence1": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "sentence2": "Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "135", "label": "entailment", "sentence1": "Knowledge bases are populated with facts from unstructured text corpora by relation extraction systems.", "sentence2": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "136", "label": "entailment", "sentence1": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "sentence2": "Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "137", "label": "entailment", "sentence1": "Knowledge bases are populated by relation extraction systems with facts from unstructured text corpora.", "sentence2": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "138", "label": "not_entailment", "sentence1": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "sentence2": "Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "139", "label": "not_entailment", "sentence1": "Relation extraction systems are populated by knowledge bases with facts from unstructured text corpora.", "sentence2": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "140", "label": "not_entailment", "sentence1": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "sentence2": "Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "141", "label": "not_entailment", "sentence1": "Relation extraction systems are populated with facts from unstructured text corpora by knowledge bases.", "sentence2": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "142", "label": "entailment", "sentence1": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "sentence2": "Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.", "lexical-semantics": "Lexical entailment", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "143", "label": "entailment", "sentence1": "Relation extraction systems populate knowledge bases with assertions from unstructured text corpora.", "sentence2": "Relation extraction systems populate knowledge bases with facts from unstructured text corpora.", "lexical-semantics": "Lexical entailment", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "144", "label": "entailment", "sentence1": "Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.", "sentence2": "The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "145", "label": "entailment", "sentence1": "The recent move by Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.", "sentence2": "Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "146", "label": "not_entailment", "sentence1": "Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.", "sentence2": "The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "147", "label": "not_entailment", "sentence1": "The recent move against Wal-Mart is tied to its continuing efforts to beat back competition against retailers like Amazon.", "sentence2": "Wal-Mart's recent move is tied to its continuing efforts to beat back competition against retailers like Amazon.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "148", "label": "entailment", "sentence1": "The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded.", "sentence2": "The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "149", "label": "entailment", "sentence1": "The man gets down on one knee and inspects the bottom of the foot of the elephant only to find a large thorn deeply embedded.", "sentence2": "The man gets down on one knee and inspects the bottom of the elephant's foot only to find a large thorn deeply embedded.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "150", "label": "entailment", "sentence1": "The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.", "sentence2": "The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "151", "label": "entailment", "sentence1": "The population of the Cape sparrow has not decreased significantly, and is not seriously threatened by human activities.", "sentence2": "The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "152", "label": "not_entailment", "sentence1": "The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.", "sentence2": "The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities.", "predicate-argument-structure": "Genitives/Partitives", "logic": "Negation"}
|
||
|
|
{"idx": "153", "label": "not_entailment", "sentence1": "The population of the Cape sparrow has decreased significantly, and is seriously threatened by human activities.", "sentence2": "The Cape sparrow's population has not decreased significantly, and is not seriously threatened by human activities.", "predicate-argument-structure": "Genitives/Partitives", "logic": "Negation"}
|
||
|
|
{"idx": "154", "label": "entailment", "sentence1": "This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.", "sentence2": "This paper presents an approach for understanding these message vectors' content by translating them into natural language.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "155", "label": "entailment", "sentence1": "This paper presents an approach for understanding these message vectors' content by translating them into natural language.", "sentence2": "This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "156", "label": "not_entailment", "sentence1": "This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.", "sentence2": "This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "157", "label": "not_entailment", "sentence1": "This paper presents an approach for understanding the contents of these message vectors by translating them into foreign language.", "sentence2": "This paper presents an approach for understanding the contents of these message vectors by translating them into natural language.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "158", "label": "entailment", "sentence1": "She is skilled at violin.", "sentence2": "She is a skilled violinist.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "159", "label": "entailment", "sentence1": "She is a skilled violinist.", "sentence2": "She is skilled at violin.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "160", "label": "not_entailment", "sentence1": "She is skilled.", "sentence2": "She is a skilled violinist.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "161", "label": "entailment", "sentence1": "She is a skilled violinist.", "sentence2": "She is skilled.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "162", "label": "not_entailment", "sentence1": "She is a surgeon and skilled violinist.", "sentence2": "She is a skilled surgeon.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "163", "label": "not_entailment", "sentence1": "She is a skilled surgeon.", "sentence2": "She is a surgeon and skilled violinist.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "164", "label": "entailment", "sentence1": "The combination of mentos and diet coke caused the explosion.", "sentence2": "Combining mentos and diet coke caused the explosion.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "165", "label": "entailment", "sentence1": "Combining mentos and diet coke caused the explosion.", "sentence2": "The combination of mentos and diet coke caused the explosion.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "166", "label": "entailment", "sentence1": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.", "sentence2": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "167", "label": "entailment", "sentence1": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's submission of a letter of resignation, according to The New York Times.", "sentence2": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "168", "label": "not_entailment", "sentence1": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.", "sentence2": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "169", "label": "not_entailment", "sentence1": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general's withholding of a letter of resignation, according to The New York Times.", "sentence2": "In an Oval Office meeting after Mueller's appointment, Trump told Sessions he should resign, prompting the attorney general to submit a letter of resignation, according to The New York Times.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "170", "label": "entailment", "sentence1": "Thought this was super cool, and a really important step in preserving all the physical books.", "sentence2": "Thought this was super cool, and a really important step in the preservation of all the physical books.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "171", "label": "entailment", "sentence1": "Thought this was super cool, and a really important step in the preservation of all the physical books.", "sentence2": "Thought this was super cool, and a really important step in preserving all the physical books.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "172", "label": "not_entailment", "sentence1": "Thought this was super cool, and a really important step in preserving all the physical books.", "sentence2": "Thought this was super cool, and a really important step in the destruction of all the physical books.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "173", "label": "not_entailment", "sentence1": "Thought this was super cool, and a really important step in the destruction of all the physical books.", "sentence2": "Thought this was super cool, and a really important step in preserving all the physical books.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "174", "label": "not_entailment", "sentence1": "Thought this was super cool, and a really important step in preserving all the physical books.", "sentence2": "Thought this was super cool, and a really important step in the processing of all the physical books.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "175", "label": "not_entailment", "sentence1": "Thought this was super cool, and a really important step in the processing of all the physical books.", "sentence2": "Thought this was super cool, and a really important step in preserving all the physical books.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "176", "label": "entailment", "sentence1": "Thought this was super cool, and a really important step in preserving all the physical books.", "sentence2": "Thought this was super cool, and a really important step in all the physical books' preservation.", "predicate-argument-structure": "Nominalization;Genitives/Partitives"}
|
||
|
|
{"idx": "177", "label": "entailment", "sentence1": "Thought this was super cool, and a really important step in all the physical books' preservation.", "sentence2": "Thought this was super cool, and a really important step in preserving all the physical books.", "predicate-argument-structure": "Nominalization;Genitives/Partitives"}
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{"idx": "178", "label": "entailment", "sentence1": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.", "sentence2": "During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941.", "predicate-argument-structure": "Nominalization"}
|
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{"idx": "179", "label": "entailment", "sentence1": "During World War II, the five remaining Greek boats were sunk by Axis aircraft when the Germans invaded Greece in April 1941.", "sentence2": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.", "predicate-argument-structure": "Nominalization"}
|
||
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|
{"idx": "180", "label": "not_entailment", "sentence1": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.", "sentence2": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941.", "predicate-argument-structure": "Nominalization"}
|
||
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|
{"idx": "181", "label": "not_entailment", "sentence1": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the Greek invasion of Germany in April 1941.", "sentence2": "During World War II, the five remaining Greek boats were sunk by Axis aircraft during the German invasion of Greece in April 1941.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "182", "label": "entailment", "sentence1": "Often, the first step in building statistical NLP models involves feature extraction.", "sentence2": "Often, the first step in building statistical NLP models involves extracting features.", "predicate-argument-structure": "Nominalization"}
|
||
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|
{"idx": "183", "label": "entailment", "sentence1": "Often, the first step in building statistical NLP models involves extracting features.", "sentence2": "Often, the first step in building statistical NLP models involves feature extraction.", "predicate-argument-structure": "Nominalization"}
|
||
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|
{"idx": "184", "label": "not_entailment", "sentence1": "Bob likes Alice.", "sentence2": "Alice likes Bob.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
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{"idx": "185", "label": "not_entailment", "sentence1": "Alice likes Bob.", "sentence2": "Bob likes Alice.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
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{"idx": "186", "label": "not_entailment", "sentence1": "Bob is Alice's parent.", "sentence2": "Alice is Bob's parent.", "predicate-argument-structure": "Core args", "knowledge": "Common sense"}
|
||
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|
{"idx": "187", "label": "not_entailment", "sentence1": "Alice is Bob's parent.", "sentence2": "Bob is Alice's parent.", "predicate-argument-structure": "Core args", "knowledge": "Common sense"}
|
||
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|
{"idx": "188", "label": "not_entailment", "sentence1": "President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.", "sentence2": "Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
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|
{"idx": "189", "label": "not_entailment", "sentence1": "Republican lawmakers will ask President Trump to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.", "sentence2": "President Trump will ask Republican lawmakers to use a controversial White House framework as the baseline for a coming Senate debate on immigration policy.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
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|
{"idx": "190", "label": "not_entailment", "sentence1": "Mythbusters proved that bulls react to movement and not color.", "sentence2": "Bulls proved that mythbusters react to movement and not color.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "191", "label": "not_entailment", "sentence1": "Bulls proved that mythbusters react to movement and not color.", "sentence2": "Mythbusters proved that bulls react to movement and not color.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "192", "label": "not_entailment", "sentence1": "The models generate translations with their constituency tree and their attention-derived alignments.", "sentence2": "The translations generate models with their constituency tree and their attention-derived alignments.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "193", "label": "not_entailment", "sentence1": "The translations generate models with their constituency tree and their attention-derived alignments.", "sentence2": "The models generate translations with their constituency tree and their attention-derived alignments.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "194", "label": "entailment", "sentence1": "Bob married Alice.", "sentence2": "Alice married Bob.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "195", "label": "entailment", "sentence1": "Alice married Bob.", "sentence2": "Bob married Alice.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "196", "label": "entailment", "sentence1": "The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions.", "sentence2": "Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "197", "label": "entailment", "sentence1": "Top U.S. intelligence officials met with the head of Russia's foreign spy service, despite existing sanctions.", "sentence2": "The head of Russia's foreign spy service met with top U.S. intelligence officials, despite existing sanctions.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "198", "label": "entailment", "sentence1": "Bees do not follow the same rules as airplanes.", "sentence2": "Airplanes do not follow the same rules as bees.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
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|
{"idx": "199", "label": "entailment", "sentence1": "Airplanes do not follow the same rules as bees.", "sentence2": "Bees do not follow the same rules as airplanes.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "200", "label": "entailment", "sentence1": "Bees do not follow the same rules as airplanes.", "sentence2": "Bees fly using a different mechanism from airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "201", "label": "entailment", "sentence1": "Bees fly using a different mechanism from airplanes.", "sentence2": "Bees do not follow the same rules as airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "202", "label": "not_entailment", "sentence1": "Bees do not follow the same rules as airplanes.", "sentence2": "Bees fly using the same mechanism as airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "203", "label": "not_entailment", "sentence1": "Bees fly using the same mechanism as airplanes.", "sentence2": "Bees do not follow the same rules as airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "204", "label": "not_entailment", "sentence1": "Bees do not follow the same rules as airplanes.", "sentence2": "Bees are more energy-efficient flyers than airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "205", "label": "not_entailment", "sentence1": "Bees are more energy-efficient flyers than airplanes.", "sentence2": "Bees do not follow the same rules as airplanes.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "206", "label": "entailment", "sentence1": "Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski.", "sentence2": "Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "207", "label": "entailment", "sentence1": "Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon.", "sentence2": "Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "208", "label": "entailment", "sentence1": "This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z.", "sentence2": "This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "209", "label": "entailment", "sentence1": "This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic.", "sentence2": "This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "210", "label": "entailment", "sentence1": "Bob married Alice.", "sentence2": "Bob and Alice got married.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "211", "label": "entailment", "sentence1": "Bob and Alice got married.", "sentence2": "Bob married Alice.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "212", "label": "entailment", "sentence1": "Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad.", "sentence2": "Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "213", "label": "entailment", "sentence1": "Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad.", "sentence2": "Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "214", "label": "entailment", "sentence1": "It reminds me of the times I played Super Mario with my little brother.", "sentence2": "It reminds me of the times my little brother and I played Super Mario.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "215", "label": "entailment", "sentence1": "It reminds me of the times my little brother and I played Super Mario.", "sentence2": "It reminds me of the times I played Super Mario with my little brother.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "216", "label": "entailment", "sentence1": "In this PC game, Shredder fights the turtles in his Manhattan hideout.", "sentence2": "In this PC game, Shredder and the turtles fight in his Manhattan hideout.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "217", "label": "entailment", "sentence1": "In this PC game, Shredder and the turtles fight in his Manhattan hideout.", "sentence2": "In this PC game, Shredder fights the turtles in his Manhattan hideout.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "218", "label": "entailment", "sentence1": "If their vectors' cosine similarity is high, we can conclude that \"cat\" is similar to \"dog\".", "sentence2": "If their vectors' cosine similarity is high, we can conclude that \"cat\" and \"dog\" are similar.", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "219", "label": "entailment", "sentence1": "If their vectors' cosine similarity is high, we can conclude that \"cat\" and \"dog\" are similar.", "sentence2": "If their vectors' cosine similarity is high, we can conclude that \"cat\" is similar to \"dog\".", "lexical-semantics": "Symmetry/Collectivity", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "220", "label": "entailment", "sentence1": "Jane had a party on Sunday.", "sentence2": "On Sunday, Jane had a party.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "221", "label": "entailment", "sentence1": "On Sunday, Jane had a party.", "sentence2": "Jane had a party on Sunday.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "222", "label": "entailment", "sentence1": "For decades, the FBI has been trusted to investigate corruption inside the government.", "sentence2": "The FBI has been trusted to investigate corruption inside the government for decades.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "223", "label": "entailment", "sentence1": "The FBI has been trusted to investigate corruption inside the government for decades.", "sentence2": "For decades, the FBI has been trusted to investigate corruption inside the government.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "224", "label": "entailment", "sentence1": "I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car.", "sentence2": "A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "225", "label": "entailment", "sentence1": "A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car.", "sentence2": "I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "226", "label": "entailment", "sentence1": "Bass River timber was used in construction of the Empire State Building.", "sentence2": "In construction of the Empire State Building, Bass River timber was used.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "227", "label": "entailment", "sentence1": "In construction of the Empire State Building, Bass River timber was used.", "sentence2": "Bass River timber was used in construction of the Empire State Building.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "228", "label": "entailment", "sentence1": "In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text.", "sentence2": "We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "229", "label": "entailment", "sentence1": "We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text.", "sentence2": "In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "230", "label": "not_entailment", "sentence1": "In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text.", "sentence2": "We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "231", "label": "not_entailment", "sentence1": "We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper.", "sentence2": "In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "232", "label": "entailment", "sentence1": "I ate pizza with friends.", "sentence2": "I ate pizza.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "233", "label": "entailment", "sentence1": "I ate pizza.", "sentence2": "I ate pizza with friends.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "234", "label": "not_entailment", "sentence1": "I ate pizza with some friends.", "sentence2": "I ate some friends.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "235", "label": "not_entailment", "sentence1": "I ate some friends.", "sentence2": "I ate pizza with some friends.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "236", "label": "entailment", "sentence1": "I ate pizza with olives.", "sentence2": "I ate pizza.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "237", "label": "not_entailment", "sentence1": "I ate pizza.", "sentence2": "I ate pizza with olives.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "238", "label": "entailment", "sentence1": "I ate pizza with olives.", "sentence2": "I ate olives.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "239", "label": "not_entailment", "sentence1": "I ate olives.", "sentence2": "I ate pizza with olives.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "240", "label": "entailment", "sentence1": "Mueller received a mandate to investigate possible collusion with Russia.", "sentence2": "Mueller received a mandate to investigate possible collusion.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "241", "label": "not_entailment", "sentence1": "Mueller received a mandate to investigate possible collusion.", "sentence2": "Mueller received a mandate to investigate possible collusion with Russia.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "242", "label": "not_entailment", "sentence1": "Mueller received a mandate to investigate possible collusion with Russia.", "sentence2": "Mueller received a mandate to investigate with Russia.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "243", "label": "not_entailment", "sentence1": "Mueller received a mandate to investigate with Russia.", "sentence2": "Mueller received a mandate to investigate possible collusion with Russia.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "244", "label": "entailment", "sentence1": "Mueller received a mandate to investigate possible collusion with vast resources.", "sentence2": "Mueller received a mandate to investigate possible collusion.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "245", "label": "not_entailment", "sentence1": "Mueller received a mandate to investigate possible collusion.", "sentence2": "Mueller received a mandate to investigate possible collusion with vast resources.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "246", "label": "entailment", "sentence1": "Mueller received a mandate to investigate possible collusion with vast resources.", "sentence2": "Mueller received a mandate to investigate with vast resources.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "247", "label": "not_entailment", "sentence1": "Mueller received a mandate to investigate with vast resources.", "sentence2": "Mueller received a mandate to investigate possible collusion with vast resources.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "248", "label": "entailment", "sentence1": "They should be attached to the lifting mechanism in the faucet.", "sentence2": "They should be attached to the lifting mechanism.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "249", "label": "not_entailment", "sentence1": "They should be attached to the lifting mechanism.", "sentence2": "They should be attached to the lifting mechanism in the faucet.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "250", "label": "entailment", "sentence1": "They should be attached to the lifting mechanism in the faucet.", "sentence2": "They should be attached in the faucet.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "251", "label": "not_entailment", "sentence1": "They should be attached in the faucet.", "sentence2": "They should be attached to the lifting mechanism in the faucet.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "252", "label": "entailment", "sentence1": "They should be attached to the lifting mechanism in an unbreakable knot.", "sentence2": "They should be attached to the lifting mechanism.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "253", "label": "not_entailment", "sentence1": "They should be attached to the lifting mechanism.", "sentence2": "They should be attached to the lifting mechanism in an unbreakable knot.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "254", "label": "entailment", "sentence1": "They should be attached to the lifting mechanism in an unbreakable knot.", "sentence2": "They should be attached in an unbreakable knot.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "255", "label": "not_entailment", "sentence1": "They should be attached in an unbreakable knot.", "sentence2": "They should be attached to the lifting mechanism in an unbreakable knot.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "256", "label": "entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success.", "sentence2": "Tanks were developed by Britain and France, and were first used with only partial success.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "257", "label": "not_entailment", "sentence1": "Tanks were developed by Britain and France, and were first used with only partial success.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "258", "label": "entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "259", "label": "not_entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "260", "label": "entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces.", "sentence2": "Tanks were developed by Britain and France, and were first used with German forces.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "261", "label": "not_entailment", "sentence1": "Tanks were developed by Britain and France, and were first used with German forces.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "262", "label": "entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "263", "label": "not_entailment", "sentence1": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle.", "sentence2": "Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "264", "label": "entailment", "sentence1": "We propose models of the probability distribution from which the attested vowel inventories have been drawn.", "sentence2": "We propose models of the probability distribution.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "265", "label": "not_entailment", "sentence1": "We propose models of the probability distribution.", "sentence2": "We propose models of the probability distribution from which the attested vowel inventories have been drawn.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "266", "label": "not_entailment", "sentence1": "We propose models of the probability distribution from which the attested vowel inventories have been drawn.", "sentence2": "We propose models from which the attested vowel inventories have been drawn.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "267", "label": "not_entailment", "sentence1": "We propose models from which the attested vowel inventories have been drawn.", "sentence2": "We propose models of the probability distribution from which the attested vowel inventories have been drawn.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "268", "label": "entailment", "sentence1": "We propose models of the probability distribution from a restricted space of linear functions.", "sentence2": "We propose models of the probability distribution.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "269", "label": "not_entailment", "sentence1": "We propose models of the probability distribution.", "sentence2": "We propose models of the probability distribution from a restricted space of linear functions.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "270", "label": "entailment", "sentence1": "We propose models of the probability distribution from a restricted space of linear functions.", "sentence2": "We propose models from a restricted space of linear functions.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "271", "label": "not_entailment", "sentence1": "We propose models from a restricted space of linear functions.", "sentence2": "We propose models of the probability distribution from a restricted space of linear functions.", "predicate-argument-structure": "Prepositional phrases"}
|
||
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|
{"idx": "272", "label": "entailment", "sentence1": "George went to the lake to catch a fish, but he fell into the water.", "sentence2": "George fell into the water.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
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|
{"idx": "273", "label": "not_entailment", "sentence1": "George fell into the water.", "sentence2": "George went to the lake to catch a fish, but he fell into the water.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
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|
{"idx": "274", "label": "not_entailment", "sentence1": "George went to the lake to catch a fish, but he fell into the water.", "sentence2": "A fish fell into the water.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
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|
{"idx": "275", "label": "not_entailment", "sentence1": "A fish fell into the water.", "sentence2": "George went to the lake to catch a fish, but he fell into the water.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "276", "label": "entailment", "sentence1": "The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much.", "sentence2": "That bill would increase the debt too much.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
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|
{"idx": "277", "label": "not_entailment", "sentence1": "That bill would increase the debt too much.", "sentence2": "The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "278", "label": "not_entailment", "sentence1": "The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much.", "sentence2": "The Republican party would increase the debt too much.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "279", "label": "not_entailment", "sentence1": "The Republican party would increase the debt too much.", "sentence2": "The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "280", "label": "entailment", "sentence1": "The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans.", "sentence2": "The squash overshadowed several adjacent rows of beans.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
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|
{"idx": "281", "label": "not_entailment", "sentence1": "The squash overshadowed several adjacent rows of beans.", "sentence2": "The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "282", "label": "not_entailment", "sentence1": "The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans.", "sentence2": "The corn overshadowed several adjacent rows of beans.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "283", "label": "not_entailment", "sentence1": "The corn overshadowed several adjacent rows of beans.", "sentence2": "The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "284", "label": "entailment", "sentence1": "Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I.", "sentence2": "Britain's declaration of war in 1914 automatically brought Canada into World War I.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "285", "label": "not_entailment", "sentence1": "Britain's declaration of war in 1914 automatically brought Canada into World War I.", "sentence2": "Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "286", "label": "not_entailment", "sentence1": "Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I.", "sentence2": "Canada's declaration of war in 1914 automatically brought Canada into World War I.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "287", "label": "not_entailment", "sentence1": "Canada's declaration of war in 1914 automatically brought Canada into World War I.", "sentence2": "Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "288", "label": "not_entailment", "sentence1": "We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains.", "sentence2": "Coreference resolvers can hardly generalize to unseen domains.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "289", "label": "not_entailment", "sentence1": "Coreference resolvers can hardly generalize to unseen domains.", "sentence2": "We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "290", "label": "not_entailment", "sentence1": "We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains.", "sentence2": "Lexical features can hardly generalize to unseen domains.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "291", "label": "not_entailment", "sentence1": "Lexical features can hardly generalize to unseen domains.", "sentence2": "We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "292", "label": "entailment", "sentence1": "The sides came to an agreement after their meeting in Stockholm.", "sentence2": "The sides came to an agreement after their meeting in Sweden.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "293", "label": "not_entailment", "sentence1": "The sides came to an agreement after their meeting in Sweden.", "sentence2": "The sides came to an agreement after their meeting in Stockholm.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "294", "label": "entailment", "sentence1": "The sides came to an agreement after their meeting in Stockholm.", "sentence2": "The sides came to an agreement after their meeting in Europe.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "295", "label": "not_entailment", "sentence1": "The sides came to an agreement after their meeting in Europe.", "sentence2": "The sides came to an agreement after their meeting in Stockholm.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "296", "label": "not_entailment", "sentence1": "The sides came to an agreement after their meeting in Stockholm.", "sentence2": "The sides came to an agreement after their meeting in Oslo.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "297", "label": "not_entailment", "sentence1": "The sides came to an agreement after their meeting in Oslo.", "sentence2": "The sides came to an agreement after their meeting in Stockholm.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "298", "label": "entailment", "sentence1": "Musk decided to offer up his personal Tesla roadster.", "sentence2": "Musk decided to offer up his personal car.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "299", "label": "not_entailment", "sentence1": "Musk decided to offer up his personal car.", "sentence2": "Musk decided to offer up his personal Tesla roadster.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "300", "label": "not_entailment", "sentence1": "Musk decided to offer up his personal Tesla roadster.", "sentence2": "Musk decided to offer up his personal yacht.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "301", "label": "not_entailment", "sentence1": "Musk decided to offer up his personal yacht.", "sentence2": "Musk decided to offer up his personal Tesla roadster.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "302", "label": "entailment", "sentence1": "TIL David Attenborough and Queen Elizabeth II are roughly the same age.", "sentence2": "TIL David Attenborough and the Queen of England are roughly the same age.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "303", "label": "entailment", "sentence1": "TIL David Attenborough and the Queen of England are roughly the same age.", "sentence2": "TIL David Attenborough and Queen Elizabeth II are roughly the same age.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "304", "label": "not_entailment", "sentence1": "TIL David Attenborough and Queen Elizabeth II are roughly the same age.", "sentence2": "TIL David Attenborough and the Queen of Denmark are roughly the same age.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "305", "label": "not_entailment", "sentence1": "TIL David Attenborough and the Queen of Denmark are roughly the same age.", "sentence2": "TIL David Attenborough and Queen Elizabeth II are roughly the same age.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "306", "label": "entailment", "sentence1": "The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.", "sentence2": "The Sydney area has been inhabited by Aboriginal people for at least 30,000 years.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "307", "label": "entailment", "sentence1": "The Sydney area has been inhabited by Aboriginal people for at least 30,000 years.", "sentence2": "The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "308", "label": "not_entailment", "sentence1": "The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.", "sentence2": "The Sydney area has been inhabited by Europeans for at least 30,000 years.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "309", "label": "not_entailment", "sentence1": "The Sydney area has been inhabited by Europeans for at least 30,000 years.", "sentence2": "The Sydney area has been inhabited by indigenous Australians for at least 30,000 years.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "310", "label": "entailment", "sentence1": "Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.", "sentence2": "Deep learning has achieved impressive performance in supervised classification and structured prediction tasks.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "311", "label": "entailment", "sentence1": "Deep learning has achieved impressive performance in supervised classification and structured prediction tasks.", "sentence2": "Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "312", "label": "not_entailment", "sentence1": "Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.", "sentence2": "Decision trees have achieved impressive performance in supervised classification and structured prediction tasks.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "313", "label": "not_entailment", "sentence1": "Decision trees have achieved impressive performance in supervised classification and structured prediction tasks.", "sentence2": "Deep neural networks have achieved impressive performance in supervised classification and structured prediction tasks.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "314", "label": "entailment", "sentence1": "Dave jumped into the lake.", "sentence2": "Dave was wet.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "315", "label": "not_entailment", "sentence1": "Dave was wet.", "sentence2": "Dave jumped into the lake.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "316", "label": "not_entailment", "sentence1": "Dave jumped into the lake.", "sentence2": "Dave was hungry.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "317", "label": "not_entailment", "sentence1": "Dave was hungry.", "sentence2": "Dave jumped into the lake.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "318", "label": "entailment", "sentence1": "Even if the Senate is able to pass a bill, it\u2019s far from certain that the House will move ahead with it.", "sentence2": "The House might kill the bill anyway.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "319", "label": "not_entailment", "sentence1": "The House might kill the bill anyway.", "sentence2": "Even if the Senate is able to pass a bill, it\u2019s far from certain that the House will move ahead with it.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "320", "label": "not_entailment", "sentence1": "Even if the Senate is able to pass a bill, it\u2019s far from certain that the House will move ahead with it.", "sentence2": "The House will pass the bill.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "321", "label": "not_entailment", "sentence1": "The House will pass the bill.", "sentence2": "Even if the Senate is able to pass a bill, it\u2019s far from certain that the House will move ahead with it.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "322", "label": "entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "sentence2": "Notorious B.I.G. passed away.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "323", "label": "not_entailment", "sentence1": "Notorious B.I.G. passed away.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "324", "label": "not_entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "sentence2": "Notorious B.I.G. hosted his funeral.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "325", "label": "not_entailment", "sentence1": "Notorious B.I.G. hosted his funeral.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "326", "label": "entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, there was a somber atmosphere part of the time.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "327", "label": "not_entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, there was a somber atmosphere part of the time.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "328", "label": "entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "sentence2": "Notorious B.I.G.'s funeral procession was attended by the general public.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "329", "label": "not_entailment", "sentence1": "Notorious B.I.G.'s funeral procession was attended by the general public.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "330", "label": "not_entailment", "sentence1": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "sentence2": "Only members of the public attended B.I.G.'s funeral procession was restricted to an exclusive club of associates.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "331", "label": "not_entailment", "sentence1": "Only members of the public attended B.I.G.'s funeral procession was restricted to an exclusive club of associates.", "sentence2": "During Notorious B.I.G.'s funeral procession through the streets of Brooklyn, someone interrupted the somber atmosphere by playing \"Hyponotize\" at full volume, which prompted the public to dance and sing along.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "332", "label": "entailment", "sentence1": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "sentence2": "Poor Irish people could not get food because it was too expensive.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "333", "label": "not_entailment", "sentence1": "Poor Irish people could not get food because it was too expensive.", "sentence2": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "334", "label": "entailment", "sentence1": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "sentence2": "The poor in Ireland starved.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "335", "label": "not_entailment", "sentence1": "The poor in Ireland starved.", "sentence2": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "336", "label": "not_entailment", "sentence1": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "sentence2": "The poor in Ireland had plentiful food.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "337", "label": "not_entailment", "sentence1": "The poor in Ireland had plentiful food.", "sentence2": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "338", "label": "entailment", "sentence1": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "sentence2": "The problem in Ireland was the price of food.", "predicate-argument-structure": "Core args;Anaphora/Coreference"}
|
||
|
|
{"idx": "339", "label": "not_entailment", "sentence1": "The problem in Ireland was the price of food.", "sentence2": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "predicate-argument-structure": "Core args;Anaphora/Coreference"}
|
||
|
|
{"idx": "340", "label": "not_entailment", "sentence1": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "sentence2": "The problem in Ireland was lack of food.", "logic": "Negation"}
|
||
|
|
{"idx": "341", "label": "not_entailment", "sentence1": "The problem in Ireland was lack of food.", "sentence2": "The problem in Ireland was not lack of food, which was plentiful, but the price of it, which was beyond the reach of the poor.", "logic": "Negation"}
|
||
|
|
{"idx": "342", "label": "entailment", "sentence1": "This dataset is two orders of magnitude larger than all other existing resources.", "sentence2": "Every other existing resource is smaller than this dataset.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "343", "label": "not_entailment", "sentence1": "Every other existing resource is smaller than this dataset.", "sentence2": "This dataset is two orders of magnitude larger than all other existing resources.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "344", "label": "entailment", "sentence1": "This dataset is two orders of magnitude larger than all other existing resources.", "sentence2": "This dataset is very big.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "345", "label": "not_entailment", "sentence1": "This dataset is very big.", "sentence2": "This dataset is two orders of magnitude larger than all other existing resources.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "346", "label": "entailment", "sentence1": "I have failed my resolutions every year since 1997, and it's now 2008.", "sentence2": "I failed my resolutions in 2004.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "347", "label": "not_entailment", "sentence1": "I failed my resolutions in 2004.", "sentence2": "I have failed my resolutions every year since 1997, and it's now 2008.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "348", "label": "not_entailment", "sentence1": "I have failed my resolutions every year since 1997, and it's now 2008.", "sentence2": "I failed my resolutions in 1995.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "349", "label": "not_entailment", "sentence1": "I failed my resolutions in 1995.", "sentence2": "I have failed my resolutions every year since 1997, and it's now 2008.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "350", "label": "not_entailment", "sentence1": "I have failed my resolutions every year since 1997, and it's now 2008.", "sentence2": "I did not fail my resolutions in 2004.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "351", "label": "not_entailment", "sentence1": "I did not fail my resolutions in 2004.", "sentence2": "I have failed my resolutions every year since 1997, and it's now 2008.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "352", "label": "not_entailment", "sentence1": "I have failed my resolutions every year since 1997, and it's now 2008.", "sentence2": "I did not fail my resolutions in 1995.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "353", "label": "not_entailment", "sentence1": "I did not fail my resolutions in 1995.", "sentence2": "I have failed my resolutions every year since 1997, and it's now 2008.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "354", "label": "entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The doctor bears some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "355", "label": "not_entailment", "sentence1": "The doctor bears some responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "356", "label": "not_entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The doctor does not bear responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "357", "label": "not_entailment", "sentence1": "The doctor does not bear responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "358", "label": "entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The patient bears some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "359", "label": "not_entailment", "sentence1": "The patient bears some responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "360", "label": "not_entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The patient does not bear responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "361", "label": "not_entailment", "sentence1": "The patient does not bear responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "362", "label": "not_entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The attorney bears some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "363", "label": "not_entailment", "sentence1": "The attorney bears some responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction"}
|
||
|
|
{"idx": "364", "label": "not_entailment", "sentence1": "Both doctor and patient bear some responsibility for successful care.", "sentence2": "The attorney does not bear responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "365", "label": "not_entailment", "sentence1": "The attorney does not bear responsibility for successful care.", "sentence2": "Both doctor and patient bear some responsibility for successful care.", "logic": "Conjunction;Negation"}
|
||
|
|
{"idx": "366", "label": "not_entailment", "sentence1": "Either he has a blind trust or he has a conflict of interest.", "sentence2": "He has a conflict of interest.", "logic": "Disjunction"}
|
||
|
|
{"idx": "367", "label": "entailment", "sentence1": "He has a conflict of interest.", "sentence2": "Either he has a blind trust or he has a conflict of interest.", "logic": "Disjunction"}
|
||
|
|
{"idx": "368", "label": "not_entailment", "sentence1": "Either he has a blind trust or he has a conflict of interest.", "sentence2": "He does not have a conflict of interest.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "369", "label": "not_entailment", "sentence1": "He does not have a conflict of interest.", "sentence2": "Either he has a blind trust or he has a conflict of interest.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "370", "label": "not_entailment", "sentence1": "Either he has a blind trust or he has a conflict of interest.", "sentence2": "He has a blind trust.", "logic": "Disjunction"}
|
||
|
|
{"idx": "371", "label": "entailment", "sentence1": "He has a blind trust.", "sentence2": "Either he has a blind trust or he has a conflict of interest.", "logic": "Disjunction"}
|
||
|
|
{"idx": "372", "label": "not_entailment", "sentence1": "Either he has a blind trust or he has a conflict of interest.", "sentence2": "He does not have a blind trust.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "373", "label": "entailment", "sentence1": "He does not have a blind trust.", "sentence2": "Either he has a blind trust or he has a conflict of interest.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "374", "label": "entailment", "sentence1": "Everyone has a set of principles to live by.", "sentence2": "Someone has a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "375", "label": "not_entailment", "sentence1": "Someone has a set of principles to live by.", "sentence2": "Everyone has a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "376", "label": "not_entailment", "sentence1": "Everyone has a set of principles to live by.", "sentence2": "No one has a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "377", "label": "not_entailment", "sentence1": "No one has a set of principles to live by.", "sentence2": "Everyone has a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "378", "label": "not_entailment", "sentence1": "Everyone has a set of principles to live by.", "sentence2": "Susan doesn't have a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "379", "label": "not_entailment", "sentence1": "Susan doesn't have a set of principles to live by.", "sentence2": "Everyone has a set of principles to live by.", "lexical-semantics": "Quantifiers", "logic": "Universal"}
|
||
|
|
{"idx": "380", "label": "entailment", "sentence1": "Susan knows how turtles reproduce.", "sentence2": "Someone knows how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "381", "label": "not_entailment", "sentence1": "Someone knows how turtles reproduce.", "sentence2": "Susan knows how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "382", "label": "not_entailment", "sentence1": "Susan knows how turtles reproduce.", "sentence2": "No one knows how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "383", "label": "not_entailment", "sentence1": "No one knows how turtles reproduce.", "sentence2": "Susan knows how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "384", "label": "not_entailment", "sentence1": "Susan knows how turtles reproduce.", "sentence2": "Cedric doesn't know how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "385", "label": "not_entailment", "sentence1": "Cedric doesn't know how turtles reproduce.", "sentence2": "Susan knows how turtles reproduce.", "lexical-semantics": "Quantifiers", "logic": "Existential"}
|
||
|
|
{"idx": "386", "label": "entailment", "sentence1": "Either there is no bathroom in this house, or it is in a funny place.", "sentence2": "If there is a bathroom in this house, it is in a funny place.", "logic": "Disjunction;Conditionals;Negation"}
|
||
|
|
{"idx": "387", "label": "entailment", "sentence1": "If there is a bathroom in this house, it is in a funny place.", "sentence2": "Either there is no bathroom in this house, or it is in a funny place.", "logic": "Disjunction;Conditionals;Negation"}
|
||
|
|
{"idx": "388", "label": "not_entailment", "sentence1": "Either there is no bathroom in this house, or it is in a funny place.", "sentence2": "The bathroom in this house is in a funny place.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Disjunction;Conditionals;Negation"}
|
||
|
|
{"idx": "389", "label": "entailment", "sentence1": "The bathroom in this house is in a funny place.", "sentence2": "Either there is no bathroom in this house, or it is in a funny place.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Disjunction;Conditionals;Negation"}
|
||
|
|
{"idx": "390", "label": "not_entailment", "sentence1": "Joan believes that all speech is political speech.", "sentence2": "All speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "391", "label": "not_entailment", "sentence1": "All speech is political speech.", "sentence2": "Joan believes that all speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "392", "label": "not_entailment", "sentence1": "Joan doubts that all speech is political speech.", "sentence2": "All speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "393", "label": "not_entailment", "sentence1": "All speech is political speech.", "sentence2": "Joan doubts that all speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "394", "label": "entailment", "sentence1": "Joan knows that all speech is political speech.", "sentence2": "All speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "395", "label": "not_entailment", "sentence1": "All speech is political speech.", "sentence2": "Joan knows that all speech is political speech.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "396", "label": "not_entailment", "sentence1": "Joan knows that all speech is political speech.", "sentence2": "No speech is political speech.", "lexical-semantics": "Factivity;Quantifiers"}
|
||
|
|
{"idx": "397", "label": "not_entailment", "sentence1": "No speech is political speech.", "sentence2": "Joan knows that all speech is political speech.", "lexical-semantics": "Factivity;Quantifiers"}
|
||
|
|
{"idx": "398", "label": "not_entailment", "sentence1": "Grisham hoped to win the popular vote.", "sentence2": "Grisham won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "399", "label": "not_entailment", "sentence1": "Grisham won the popular vote.", "sentence2": "Grisham hoped to win the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "400", "label": "not_entailment", "sentence1": "Grisham hoped to win the popular vote.", "sentence2": "Grisham did not win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "401", "label": "not_entailment", "sentence1": "Grisham did not win the popular vote.", "sentence2": "Grisham hoped to win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "402", "label": "entailment", "sentence1": "Jacob saw Tex sign the contract.", "sentence2": "Tex signed the contract.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "403", "label": "not_entailment", "sentence1": "Tex signed the contract.", "sentence2": "Jacob saw Tex sign the contract.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "404", "label": "not_entailment", "sentence1": "Jacob did not see Tex sign the contract.", "sentence2": "Tex signed the contract.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "405", "label": "not_entailment", "sentence1": "Tex signed the contract.", "sentence2": "Jacob did not see Tex sign the contract.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "406", "label": "not_entailment", "sentence1": "Grisham tried to win the popular vote.", "sentence2": "Grisham won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "407", "label": "not_entailment", "sentence1": "Grisham won the popular vote.", "sentence2": "Grisham tried to win the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "408", "label": "not_entailment", "sentence1": "Grisham tried to win the popular vote.", "sentence2": "Grisham did not win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "409", "label": "not_entailment", "sentence1": "Grisham did not win the popular vote.", "sentence2": "Grisham tried to win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "410", "label": "not_entailment", "sentence1": "Grisham almost won the popular vote.", "sentence2": "Grisham won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "411", "label": "not_entailment", "sentence1": "Grisham won the popular vote.", "sentence2": "Grisham almost won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "412", "label": "entailment", "sentence1": "Grisham barely won the popular vote.", "sentence2": "Grisham won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "413", "label": "not_entailment", "sentence1": "Grisham won the popular vote.", "sentence2": "Grisham barely won the popular vote.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "414", "label": "entailment", "sentence1": "Grisham almost won the popular vote.", "sentence2": "Grisham did not win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "415", "label": "not_entailment", "sentence1": "Grisham did not win the popular vote.", "sentence2": "Grisham almost won the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "416", "label": "not_entailment", "sentence1": "Grisham barely won the popular vote.", "sentence2": "Grisham did not win the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "417", "label": "not_entailment", "sentence1": "Grisham did not win the popular vote.", "sentence2": "Grisham barely won the popular vote.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "418", "label": "not_entailment", "sentence1": "She has three questions.", "sentence2": "She had three questions.", "logic": "Temporal"}
|
||
|
|
{"idx": "419", "label": "not_entailment", "sentence1": "She had three questions.", "sentence2": "She has three questions.", "logic": "Temporal"}
|
||
|
|
{"idx": "420", "label": "entailment", "sentence1": "Mary left before John entered.", "sentence2": "John entered after Mary left.", "logic": "Temporal"}
|
||
|
|
{"idx": "421", "label": "entailment", "sentence1": "John entered after Mary left.", "sentence2": "Mary left before John entered.", "logic": "Temporal"}
|
||
|
|
{"idx": "422", "label": "not_entailment", "sentence1": "Mary left before John entered.", "sentence2": "John entered before Mary left.", "logic": "Temporal"}
|
||
|
|
{"idx": "423", "label": "not_entailment", "sentence1": "John entered before Mary left.", "sentence2": "Mary left before John entered.", "logic": "Temporal"}
|
||
|
|
{"idx": "424", "label": "entailment", "sentence1": "Mary was leaving while John entered.", "sentence2": "John entered while Mary was leaving.", "logic": "Temporal"}
|
||
|
|
{"idx": "425", "label": "entailment", "sentence1": "John entered while Mary was leaving.", "sentence2": "Mary was leaving while John entered.", "logic": "Temporal"}
|
||
|
|
{"idx": "426", "label": "not_entailment", "sentence1": "If Pedro has a donkey, then he beats it.", "sentence2": "Pedro beats his donkey.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Conditionals"}
|
||
|
|
{"idx": "427", "label": "entailment", "sentence1": "Pedro beats his donkey.", "sentence2": "If Pedro has a donkey, then he beats it.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Conditionals"}
|
||
|
|
{"idx": "428", "label": "not_entailment", "sentence1": "If Pedro has a donkey, then he beats it.", "sentence2": "Pedro doesn't have a donkey.", "logic": "Conditionals"}
|
||
|
|
{"idx": "429", "label": "entailment", "sentence1": "Pedro doesn't have a donkey.", "sentence2": "If Pedro has a donkey, then he beats it.", "logic": "Conditionals"}
|
||
|
|
{"idx": "430", "label": "entailment", "sentence1": "It is the clearest evidence yet that Xi plans to rule beyond the end of this second term, in 2023, taking China back to the era of one-man rule just as it steps up its role in global politics.", "sentence2": "Xi's second term ends in 2023."}
|
||
|
|
{"idx": "431", "label": "not_entailment", "sentence1": "Xi's second term ends in 2023.", "sentence2": "It is the clearest evidence yet that Xi plans to rule beyond the end of this second term, in 2023, taking China back to the era of one-man rule just as it steps up its role in global politics."}
|
||
|
|
{"idx": "432", "label": "not_entailment", "sentence1": "The move marks an end to a system put in place by Deng Xiaoping in the 1980s to prevent the rise of another Mao, who was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "sentence2": "Deng Xiaoping was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "predicate-argument-structure": "Relative clauses", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "433", "label": "not_entailment", "sentence1": "Deng Xiaoping was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "sentence2": "The move marks an end to a system put in place by Deng Xiaoping in the 1980s to prevent the rise of another Mao, who was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "predicate-argument-structure": "Relative clauses", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "434", "label": "entailment", "sentence1": "The move marks an end to a system put in place by Deng Xiaoping in the 1980s to prevent the rise of another Mao, who was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "sentence2": "Mao was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "435", "label": "not_entailment", "sentence1": "Mao was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "sentence2": "The move marks an end to a system put in place by Deng Xiaoping in the 1980s to prevent the rise of another Mao, who was chairman of the Communist Party from before its accession to power in 1949 until his death in 1976.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "436", "label": "entailment", "sentence1": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan and Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "sentence2": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "logic": "Conjunction"}
|
||
|
|
{"idx": "437", "label": "not_entailment", "sentence1": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "sentence2": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan and Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "logic": "Conjunction"}
|
||
|
|
{"idx": "438", "label": "entailment", "sentence1": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan and Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "sentence2": "Though the power grab has earned Xi comparisons to leaders such as Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "logic": "Conjunction"}
|
||
|
|
{"idx": "439", "label": "not_entailment", "sentence1": "Though the power grab has earned Xi comparisons to leaders such as Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "sentence2": "Though the power grab has earned Xi comparisons to leaders such as Turkey\u2019s Recep Tayyip Erdogan and Russia\u2019s Vladimir Putin, his vision for China is singular \u2014 and will have an impact well beyond China\u2019s borders.", "logic": "Conjunction"}
|
||
|
|
{"idx": "440", "label": "entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the father of the nation.", "logic": "Conjunction"}
|
||
|
|
{"idx": "441", "label": "not_entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the father of the nation.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "logic": "Conjunction"}
|
||
|
|
{"idx": "442", "label": "entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the man uniquely equipped to lead.", "predicate-argument-structure": "Coordination scope", "logic": "Conjunction"}
|
||
|
|
{"idx": "443", "label": "not_entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the man uniquely equipped to lead.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "predicate-argument-structure": "Coordination scope", "logic": "Conjunction"}
|
||
|
|
{"idx": "444", "label": "not_entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the father of the man uniquely equipped to lead.", "predicate-argument-structure": "Coordination scope", "logic": "Conjunction", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "445", "label": "not_entailment", "sentence1": "Party media have since amped up the hagiography, casting Xi as the father of the man uniquely equipped to lead.", "sentence2": "Party media have since amped up the hagiography, casting Xi as the father of the nation and the man uniquely equipped to lead.", "predicate-argument-structure": "Coordination scope", "logic": "Conjunction", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "446", "label": "not_entailment", "sentence1": "The latest fatal incident, reported Monday morning, killed a 17-year-old boy and wounded a woman.", "sentence2": "The latest incident, reported Monday morning, killed a 17-year-old boy and wounded a woman.", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "447", "label": "entailment", "sentence1": "The latest incident, reported Monday morning, killed a 17-year-old boy and wounded a woman.", "sentence2": "The latest fatal incident, reported Monday morning, killed a 17-year-old boy and wounded a woman.", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "448", "label": "entailment", "sentence1": "Police also responded around 11:50 a.m. Monday to the report of an explosion in southeast Austin in which a woman was badly injured.", "sentence2": "Police also responded around 11:50 a.m. Monday to the report of a blast in southeast Austin in which a woman was badly injured.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "449", "label": "entailment", "sentence1": "Police also responded around 11:50 a.m. Monday to the report of a blast in southeast Austin in which a woman was badly injured.", "sentence2": "Police also responded around 11:50 a.m. Monday to the report of an explosion in southeast Austin in which a woman was badly injured.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "450", "label": "not_entailment", "sentence1": "The announcement represents a significant hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "sentence2": "The announcement represents a slight hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "451", "label": "not_entailment", "sentence1": "The announcement represents a slight hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "sentence2": "The announcement represents a significant hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "452", "label": "entailment", "sentence1": "The announcement represents a significant hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "sentence2": "The announcement represents a significant change in Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "453", "label": "not_entailment", "sentence1": "The announcement represents a significant change in Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "sentence2": "The announcement represents a significant hardening of Britain's posture toward Russia, with which it has had a valuable intelligence-sharing relationship.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "454", "label": "not_entailment", "sentence1": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to take a train home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "455", "label": "not_entailment", "sentence1": "Tillerson cut his trip short Monday to take a train home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "456", "label": "not_entailment", "sentence1": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to take a plane home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "457", "label": "entailment", "sentence1": "Tillerson cut his trip short Monday to take a plane home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "458", "label": "entailment", "sentence1": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to go home by air, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "459", "label": "entailment", "sentence1": "Tillerson cut his trip short Monday to go home by air, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "sentence2": "Tillerson cut his trip short Monday to fly home, and his spokesman said Tuesday that the secretary of state was \u201cunaware of the reason\u201d for his firing and had not spoken directly with Trump.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "460", "label": "entailment", "sentence1": "The announcement of Tillerson\u2019s departure sent shock waves across the globe.", "sentence2": "People across the globe were not expecting Tillerson's departure.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "461", "label": "not_entailment", "sentence1": "People across the globe were not expecting Tillerson's departure.", "sentence2": "The announcement of Tillerson\u2019s departure sent shock waves across the globe.", "knowledge": "Common sense"}
|
||
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|
{"idx": "462", "label": "not_entailment", "sentence1": "The announcement of Tillerson\u2019s departure sent shock waves across the globe.", "sentence2": "People across the globe were prepared for Tillerson's departure.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "463", "label": "not_entailment", "sentence1": "People across the globe were prepared for Tillerson's departure.", "sentence2": "The announcement of Tillerson\u2019s departure sent shock waves across the globe.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "464", "label": "entailment", "sentence1": "LaBeouf had tried to bum a smoke from two strangers, unaware that one of them was a police officer.", "sentence2": "LaBeouf had tried to bum a smoke from a police officer.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "465", "label": "not_entailment", "sentence1": "LaBeouf had tried to bum a smoke from a police officer.", "sentence2": "LaBeouf had tried to bum a smoke from two strangers, unaware that one of them was a police officer.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "466", "label": "not_entailment", "sentence1": "LaBeouf had tried to bum a smoke from two strangers, unaware that one of them was a police officer.", "sentence2": "LaBeouf knowingly had tried to bum a smoke from a police officer.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "Common sense"}
|
||
|
|
{"idx": "467", "label": "not_entailment", "sentence1": "LaBeouf knowingly had tried to bum a smoke from a police officer.", "sentence2": "LaBeouf had tried to bum a smoke from two strangers, unaware that one of them was a police officer.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "Common sense"}
|
||
|
|
{"idx": "468", "label": "entailment", "sentence1": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was handcuffed and taken to the station.", "sentence2": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was arrested.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "469", "label": "not_entailment", "sentence1": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was arrested.", "sentence2": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was handcuffed and taken to the station.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "470", "label": "not_entailment", "sentence1": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was handcuffed and taken to the station.", "sentence2": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was escorted home.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "471", "label": "not_entailment", "sentence1": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was escorted home.", "sentence2": "After being denied, he grew angry and ignored the police officer's warnings to relax, so he was handcuffed and taken to the station.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "472", "label": "entailment", "sentence1": "Marc Sims has been seeing his barber once a week, for several years.", "sentence2": "Marc Sims has been getting his hair cut once a week, for several years.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "473", "label": "entailment", "sentence1": "Marc Sims has been getting his hair cut once a week, for several years.", "sentence2": "Marc Sims has been seeing his barber once a week, for several years.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "474", "label": "not_entailment", "sentence1": "Marc Sims has been seeing his barber once a week, for several years.", "sentence2": "Marc Sims has been cutting hair once a week, for several years.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "475", "label": "not_entailment", "sentence1": "Marc Sims has been cutting hair once a week, for several years.", "sentence2": "Marc Sims has been seeing his barber once a week, for several years.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "476", "label": "entailment", "sentence1": "The event Mr. Hamdallah attended on Tuesday was the opening of a long-delayed wastewater treatment plant in Beit Lahia that is intended to serve 400,000 Gaza residents.", "sentence2": "The event Mr. Hamdallah attended on Tuesday was the opening of a long-delayed water treatment plant in Beit Lahia that is intended to serve 400,000 Gaza residents.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "477", "label": "not_entailment", "sentence1": "The event Mr. Hamdallah attended on Tuesday was the opening of a long-delayed water treatment plant in Beit Lahia that is intended to serve 400,000 Gaza residents.", "sentence2": "The event Mr. Hamdallah attended on Tuesday was the opening of a long-delayed wastewater treatment plant in Beit Lahia that is intended to serve 400,000 Gaza residents.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "478", "label": "entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "British investigators say they have identified a nerve agent as Russian.", "predicate-argument-structure": "Relative clauses;Anaphora/Coreference"}
|
||
|
|
{"idx": "479", "label": "not_entailment", "sentence1": "British investigators say they have identified a nerve agent as Russian.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "predicate-argument-structure": "Relative clauses;Anaphora/Coreference"}
|
||
|
|
{"idx": "480", "label": "not_entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "Russians have identified a nerve agent used in a suspected chemical attack on British soil.", "predicate-argument-structure": "Core args;Anaphora/Coreference"}
|
||
|
|
{"idx": "481", "label": "not_entailment", "sentence1": "Russians have identified a nerve agent used in a suspected chemical attack on British soil.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "predicate-argument-structure": "Core args;Anaphora/Coreference"}
|
||
|
|
{"idx": "482", "label": "not_entailment", "sentence1": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian involvement in last week\u2019s attack.", "sentence2": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian responsibility for last week\u2019s attack.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "483", "label": "entailment", "sentence1": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian responsibility for last week\u2019s attack.", "sentence2": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian involvement in last week\u2019s attack.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "484", "label": "not_entailment", "sentence1": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian involvement in last week\u2019s attack.", "sentence2": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian ignorance of last week\u2019s attack.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "485", "label": "not_entailment", "sentence1": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian ignorance of last week\u2019s attack.", "sentence2": "Lavrov insisted that Russian experts should be able to examine the British evidence but again denied Russian involvement in last week\u2019s attack.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "486", "label": "not_entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "487", "label": "entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "488", "label": "entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to an attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "489", "label": "entailment", "sentence1": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to an attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "sentence2": "Russia vowed Tuesday to retaliate if Britain imposes sanctions in response to a suspected chemical attack on British soil and demanded access to samples of a nerve agent that British investigators say they have identified as Russian.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "490", "label": "entailment", "sentence1": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a secret CIA prison in Thailand where detainees were tortured.", "sentence2": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a CIA black site in Thailand where detainees were tortured.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "491", "label": "entailment", "sentence1": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a CIA black site in Thailand where detainees were tortured.", "sentence2": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a secret CIA prison in Thailand where detainees were tortured.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "492", "label": "entailment", "sentence1": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a secret CIA prison in Thailand where detainees were tortured.", "sentence2": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a clandestine CIA prison in Thailand where detainees were tortured.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "493", "label": "entailment", "sentence1": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a clandestine CIA prison in Thailand where detainees were tortured.", "sentence2": "Gina Haspel, the veteran CIA undercover officer President Donald Trump picked on Tuesday to head the agency, is supported by many in the U.S. intelligence community but has faced criticism for overseeing a secret CIA prison in Thailand where detainees were tortured.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "494", "label": "entailment", "sentence1": "She could be opposed by all the Democrats, and some Republicans may also oppose her, including Senator Rand Paul, who has called a news conference on Wednesday to discuss the nomination.", "sentence2": "She could be opposed by every Democrat, and some Republicans may also oppose her, including Senator Rand Paul, who has called a news conference on Wednesday to discuss the nomination.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "495", "label": "entailment", "sentence1": "She could be opposed by every Democrat, and some Republicans may also oppose her, including Senator Rand Paul, who has called a news conference on Wednesday to discuss the nomination.", "sentence2": "She could be opposed by all the Democrats, and some Republicans may also oppose her, including Senator Rand Paul, who has called a news conference on Wednesday to discuss the nomination.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "496", "label": "entailment", "sentence1": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has routinely given away free in-game content to Twitch Prime subscribers in the past.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "497", "label": "not_entailment", "sentence1": "Twitch has routinely given away free in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "498", "label": "entailment", "sentence1": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has routinely given away games and in-game content to Twitch Prime subscribers in the past.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "499", "label": "not_entailment", "sentence1": "Twitch has routinely given away games and in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "500", "label": "entailment", "sentence1": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has routinely given Twitch Prime subscribers free games and in-game content in the past.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "501", "label": "entailment", "sentence1": "Twitch has routinely given Twitch Prime subscribers free games and in-game content in the past.", "sentence2": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "502", "label": "not_entailment", "sentence1": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "sentence2": "Twitch has rarely given Twitch Prime subscribers free games and in-game content in the past.", "lexical-semantics": "Quantifiers", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "503", "label": "not_entailment", "sentence1": "Twitch has rarely given Twitch Prime subscribers free games and in-game content in the past.", "sentence2": "Twitch has routinely given away free games and in-game content to Twitch Prime subscribers in the past.", "lexical-semantics": "Quantifiers", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "504", "label": "entailment", "sentence1": "All five of these games will be available to Prime members until March 31.", "sentence2": "Several games will be available to Prime members until March 31.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "505", "label": "not_entailment", "sentence1": "Several games will be available to Prime members until March 31.", "sentence2": "All five of these games will be available to Prime members until March 31.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "506", "label": "entailment", "sentence1": "Future legislators should focus on [low taxes, limited regulation and local control] to maintain a predictable and reliable business climate, avoiding legislation that distracts from critical priorities and is viewed by many as enabling discrimination against certain groups or classes of Texans.", "sentence2": "Future legislators should focus on [low taxes, limited regulation and local control] to maintain a predictable and reliable business climate, avoiding legislation that distracts from critical priorities and is viewed by many as enabling discrimination against certain groups of Texans.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "507", "label": "entailment", "sentence1": "Future legislators should focus on [low taxes, limited regulation and local control] to maintain a predictable and reliable business climate, avoiding legislation that distracts from critical priorities and is viewed by many as enabling discrimination against certain groups of Texans.", "sentence2": "Future legislators should focus on [low taxes, limited regulation and local control] to maintain a predictable and reliable business climate, avoiding legislation that distracts from critical priorities and is viewed by many as enabling discrimination against certain groups or classes of Texans.", "lexical-semantics": "Redundancy"}
|
||
|
|
{"idx": "508", "label": "entailment", "sentence1": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "sentence2": "Abbott remained largely silent for the first several months of debate after Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, even as some cautioned that it would be bad for business.", "logic": "Temporal"}
|
||
|
|
{"idx": "509", "label": "entailment", "sentence1": "Abbott remained largely silent for the first several months of debate after Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, even as some cautioned that it would be bad for business.", "sentence2": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "logic": "Temporal"}
|
||
|
|
{"idx": "510", "label": "not_entailment", "sentence1": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "sentence2": "Abbott remained largely silent for the first several months of debate before Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, even as some cautioned that it would be bad for business.", "logic": "Temporal"}
|
||
|
|
{"idx": "511", "label": "not_entailment", "sentence1": "Abbott remained largely silent for the first several months of debate before Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, even as some cautioned that it would be bad for business.", "sentence2": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "logic": "Temporal"}
|
||
|
|
{"idx": "512", "label": "not_entailment", "sentence1": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "sentence2": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and in the second month of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "logic": "Temporal;Intervals/Numbers"}
|
||
|
|
{"idx": "513", "label": "not_entailment", "sentence1": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and in the second month of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "sentence2": "Lt. Gov. Dan Patrick first unveiled a \u201cbathroom bill\u201d in January 2017, and for the first several months of debate, Abbott remained largely silent even as some cautioned that it would be bad for business.", "logic": "Temporal;Intervals/Numbers"}
|
||
|
|
{"idx": "514", "label": "not_entailment", "sentence1": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "A bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Negation"}
|
||
|
|
{"idx": "515", "label": "not_entailment", "sentence1": "A bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Negation"}
|
||
|
|
{"idx": "516", "label": "not_entailment", "sentence1": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "No bills made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Downward monotone"}
|
||
|
|
{"idx": "517", "label": "entailment", "sentence1": "No bills made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Downward monotone"}
|
||
|
|
{"idx": "518", "label": "not_entailment", "sentence1": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "A bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Downward monotone"}
|
||
|
|
{"idx": "519", "label": "not_entailment", "sentence1": "A bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "sentence2": "No bathroom bill made it to Abbott\u2019s desk by the end of the legislative session in May.", "lexical-semantics": "Quantifiers", "logic": "Downward monotone"}
|
||
|
|
{"idx": "520", "label": "entailment", "sentence1": "As with previous freebies, the games offered in this manner will be yours to keep permanently, though you'll presumably need to use the Twitch desktop app in order to grab them.", "sentence2": "As with previous freebies, the games offered in this manner will be yours to keep permanently, though you'll presumably need to use the Twitch desktop app in order to download them.", "lexical-semantics": "Lexical entailment", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "521", "label": "entailment", "sentence1": "As with previous freebies, the games offered in this manner will be yours to keep permanently, though you'll presumably need to use the Twitch desktop app in order to download them.", "sentence2": "As with previous freebies, the games offered in this manner will be yours to keep permanently, though you'll presumably need to use the Twitch desktop app in order to grab them.", "lexical-semantics": "Lexical entailment", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "522", "label": "not_entailment", "sentence1": "From Maine to Hawaii, thousands of students planned to stage walkouts Wednesday to protest gun violence, one month after the deadly shooting inside a high school in Parkland, Florida.", "sentence2": "From Maine to Hawaii, thousands of students planned to stage walkouts Wednesday to protest gun violence, two months after the deadly shooting inside a high school in Parkland, Florida.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "523", "label": "not_entailment", "sentence1": "From Maine to Hawaii, thousands of students planned to stage walkouts Wednesday to protest gun violence, two months after the deadly shooting inside a high school in Parkland, Florida.", "sentence2": "From Maine to Hawaii, thousands of students planned to stage walkouts Wednesday to protest gun violence, one month after the deadly shooting inside a high school in Parkland, Florida.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "524", "label": "entailment", "sentence1": "A Tennessee House subcommittee has approved legislation to offer in-state tuition to public college students whose parents brought or kept them in the country illegally.", "sentence2": "A Tennessee House subcommittee has approved legislation to offer in-state tuition to public college students whose parents kept them in the country illegally.", "logic": "Disjunction"}
|
||
|
|
{"idx": "525", "label": "not_entailment", "sentence1": "A Tennessee House subcommittee has approved legislation to offer in-state tuition to public college students whose parents kept them in the country illegally.", "sentence2": "A Tennessee House subcommittee has approved legislation to offer in-state tuition to public college students whose parents brought or kept them in the country illegally.", "logic": "Disjunction"}
|
||
|
|
{"idx": "526", "label": "entailment", "sentence1": "Missouri lawmakers are considering a government boycott of companies that boycott Israel.", "sentence2": "Missouri lawmakers are considering a boycott of companies that boycott Israel.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "527", "label": "not_entailment", "sentence1": "Missouri lawmakers are considering a boycott of companies that boycott Israel.", "sentence2": "Missouri lawmakers are considering a government boycott of companies that boycott Israel.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "528", "label": "entailment", "sentence1": "He said the United States intended to use the fake attack as a pretext to bomb the government quarter in nearby Damascus where he said Russian military advisers, Russian military police and Russian ceasefire monitors were based.", "sentence2": "He said the United States intended to bomb the government quarter in nearby Damascus where he said Russian military advisers, Russian military police and Russian ceasefire monitors were based.", "predicate-argument-structure": "Core args", "knowledge": "Common sense"}
|
||
|
|
{"idx": "529", "label": "not_entailment", "sentence1": "He said the United States intended to bomb the government quarter in nearby Damascus where he said Russian military advisers, Russian military police and Russian ceasefire monitors were based.", "sentence2": "He said the United States intended to use the fake attack as a pretext to bomb the government quarter in nearby Damascus where he said Russian military advisers, Russian military police and Russian ceasefire monitors were based.", "predicate-argument-structure": "Core args", "knowledge": "Common sense"}
|
||
|
|
{"idx": "530", "label": "entailment", "sentence1": "The matter is so sensitive that they agreed to talk only on condition of anonymity.", "sentence2": "It is so sensitive that they agreed to talk about the matter only on condition of anonymity.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "531", "label": "entailment", "sentence1": "It is so sensitive that they agreed to talk about the matter only on condition of anonymity.", "sentence2": "The matter is so sensitive that they agreed to talk only on condition of anonymity.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "532", "label": "not_entailment", "sentence1": "The matter is so sensitive that they agreed to talk only on condition of anonymity.", "sentence2": "The matter is so sensitive that they agreed to talk about something else on condition of anonymity.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "533", "label": "not_entailment", "sentence1": "The matter is so sensitive that they agreed to talk about something else on condition of anonymity.", "sentence2": "The matter is so sensitive that they agreed to talk only on condition of anonymity.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "534", "label": "entailment", "sentence1": "Russia\u2019s ruling system, while projecting an image of unity, is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "sentence2": "Russia\u2019s ruling projects an image of unity, but is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "535", "label": "entailment", "sentence1": "Russia\u2019s ruling projects an image of unity, but is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "sentence2": "Russia\u2019s ruling system, while projecting an image of unity, is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "536", "label": "entailment", "sentence1": "Russia\u2019s ruling system, while projecting an image of unity, is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "sentence2": "Russia\u2019s ruling projects an image of unity, but is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "537", "label": "entailment", "sentence1": "Russia\u2019s ruling projects an image of unity, but is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "sentence2": "Russia\u2019s ruling system, while projecting an image of unity, is divided along many lines \u2014 between security hawks and economic liberals, between people with personal vendettas, and between competing business interests.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "538", "label": "entailment", "sentence1": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader.", "sentence2": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader than Putin.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "539", "label": "entailment", "sentence1": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader than Putin.", "sentence2": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "540", "label": "not_entailment", "sentence1": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader.", "sentence2": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader than themselves.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "541", "label": "not_entailment", "sentence1": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader than themselves.", "sentence2": "Putin is so entrenched within Russia\u2019s ruling system that many of its members can imagine no other leader.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "542", "label": "not_entailment", "sentence1": "Microsoft has said a class action isn\u2019t warranted because there is no common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "sentence2": "Microsoft has said a class action is warranted because there is a common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "logic": "Double negation"}
|
||
|
|
{"idx": "543", "label": "not_entailment", "sentence1": "Microsoft has said a class action is warranted because there is a common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "sentence2": "Microsoft has said a class action isn\u2019t warranted because there is no common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "logic": "Double negation"}
|
||
|
|
{"idx": "544", "label": "not_entailment", "sentence1": "Microsoft has said a class action isn\u2019t warranted because there is no common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "sentence2": "Microsoft has said a class action is warranted because there isn't a common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "logic": "Negation"}
|
||
|
|
{"idx": "545", "label": "not_entailment", "sentence1": "Microsoft has said a class action is warranted because there isn't a common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "sentence2": "Microsoft has said a class action isn\u2019t warranted because there is no common cause for the employees\u2019 complaints and plaintiffs have not identified systemic gender discrimination.", "logic": "Negation"}
|
||
|
|
{"idx": "546", "label": "not_entailment", "sentence1": "Three women alleged they were sexually assaulted or raped by male colleagues during that time.", "sentence2": "Three women alleged they were sexually assaulted by male colleagues during that time.", "logic": "Disjunction"}
|
||
|
|
{"idx": "547", "label": "entailment", "sentence1": "Three women alleged they were sexually assaulted by male colleagues during that time.", "sentence2": "Three women alleged they were sexually assaulted or raped by male colleagues during that time.", "logic": "Disjunction"}
|
||
|
|
{"idx": "548", "label": "not_entailment", "sentence1": "Three women alleged they were sexually assaulted or raped by male colleagues during that time.", "sentence2": "Three women alleged they were raped by male colleagues during that time.", "logic": "Disjunction"}
|
||
|
|
{"idx": "549", "label": "entailment", "sentence1": "Three women alleged they were raped by male colleagues during that time.", "sentence2": "Three women alleged they were sexually assaulted or raped by male colleagues during that time.", "logic": "Disjunction"}
|
||
|
|
{"idx": "550", "label": "not_entailment", "sentence1": "Microsoft has said that corrective action might be taken even if no policy violation was found, and that the person who filed the complaint might not be informed.", "sentence2": "Microsoft has said that corrective action might not be taken even if a policy violation was found, and that the person who filed the complaint might not be informed.", "logic": "Negation;Conditionals"}
|
||
|
|
{"idx": "551", "label": "not_entailment", "sentence1": "Microsoft has said that corrective action might not be taken even if a policy violation was found, and that the person who filed the complaint might not be informed.", "sentence2": "Microsoft has said that corrective action might be taken even if no policy violation was found, and that the person who filed the complaint might not be informed.", "logic": "Negation;Conditionals"}
|
||
|
|
{"idx": "552", "label": "entailment", "sentence1": "The longer he stays in power, the harder it will be to exit.", "sentence2": "If he stays in power longer, it will be harder for him to exit.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Conditionals"}
|
||
|
|
{"idx": "553", "label": "entailment", "sentence1": "If he stays in power longer, it will be harder for him to exit.", "sentence2": "The longer he stays in power, the harder it will be to exit.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Conditionals"}
|
||
|
|
{"idx": "554", "label": "entailment", "sentence1": "The longer he stays in power, the harder it will be to exit.", "sentence2": "If he stays in power longer, it will be harder to exit.", "logic": "Conditionals"}
|
||
|
|
{"idx": "555", "label": "entailment", "sentence1": "If he stays in power longer, it will be harder to exit.", "sentence2": "The longer he stays in power, the harder it will be to exit.", "logic": "Conditionals"}
|
||
|
|
{"idx": "556", "label": "entailment", "sentence1": "The longer he stays in power, the harder it will be to exit.", "sentence2": "The shorter he stays in power, the easier it will be to exit.", "lexical-semantics": "Lexical entailment", "logic": "Conditionals"}
|
||
|
|
{"idx": "557", "label": "entailment", "sentence1": "The shorter he stays in power, the easier it will be to exit.", "sentence2": "The longer he stays in power, the harder it will be to exit.", "lexical-semantics": "Lexical entailment", "logic": "Conditionals"}
|
||
|
|
{"idx": "558", "label": "entailment", "sentence1": "Our deepest sympathies are with all those affected by this accident.", "sentence2": "Our deepest sympathies are with a victim who was affected by this accident.", "logic": "Universal"}
|
||
|
|
{"idx": "559", "label": "not_entailment", "sentence1": "Our deepest sympathies are with a victim who was affected by this accident.", "sentence2": "Our deepest sympathies are with all those affected by this accident.", "logic": "Universal"}
|
||
|
|
{"idx": "560", "label": "entailment", "sentence1": "There will be a comprehensive investigation involving authorities.", "sentence2": "The federal Occupational Safety and Health Administration will carry out a comprehensive investigation.", "logic": "Existential"}
|
||
|
|
{"idx": "561", "label": "not_entailment", "sentence1": "The federal Occupational Safety and Health Administration will carry out a comprehensive investigation.", "sentence2": "There will be a comprehensive investigation involving authorities.", "logic": "Existential"}
|
||
|
|
{"idx": "562", "label": "entailment", "sentence1": "The crown prince's mother wouldn't be the first Saudi royal whose movements were restricted since June 2017.", "sentence2": "The crown prince's mother wouldn't be the first royal whose movements were restricted since June 2017.", "logic": "Non-monotone"}
|
||
|
|
{"idx": "563", "label": "not_entailment", "sentence1": "The crown prince's mother wouldn't be the first royal whose movements were restricted since June 2017.", "sentence2": "The crown prince's mother wouldn't be the first Saudi royal whose movements were restricted since June 2017.", "logic": "Non-monotone"}
|
||
|
|
{"idx": "564", "label": "entailment", "sentence1": "The Saudi Embassy in Washington denied to NBC the claims that the princess is separated from her husband or under house arrest.", "sentence2": "Representatives of the Saudi government denied to NBC the claims that the princess is separated from her husband or under house arrest.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "565", "label": "not_entailment", "sentence1": "Representatives of the Saudi government denied to NBC the claims that the princess is separated from her husband or under house arrest.", "sentence2": "The Saudi Embassy in Washington denied to NBC the claims that the princess is separated from her husband or under house arrest.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "566", "label": "not_entailment", "sentence1": "The Saudi Embassy in Washington denied to NBC the claims that the princess is separated from her husband or under house arrest.", "sentence2": "American ambassadors to Riyadh denied to NBC the claims that the princess is separated from her husband or under house arrest.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "567", "label": "not_entailment", "sentence1": "American ambassadors to Riyadh denied to NBC the claims that the princess is separated from her husband or under house arrest.", "sentence2": "The Saudi Embassy in Washington denied to NBC the claims that the princess is separated from her husband or under house arrest.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "568", "label": "entailment", "sentence1": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "sentence2": "From a quick Google search, it was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable than Bitcoin.", "predicate-argument-structure": "Ellipsis/Implicits;Anaphora/Coreference"}
|
||
|
|
{"idx": "569", "label": "entailment", "sentence1": "From a quick Google search, it was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable than Bitcoin.", "sentence2": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "predicate-argument-structure": "Ellipsis/Implicits;Anaphora/Coreference"}
|
||
|
|
{"idx": "570", "label": "not_entailment", "sentence1": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "sentence2": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable than Bitcoin Cash.", "predicate-argument-structure": "Ellipsis/Implicits;Anaphora/Coreference"}
|
||
|
|
{"idx": "571", "label": "not_entailment", "sentence1": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable than Bitcoin Cash.", "sentence2": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "predicate-argument-structure": "Ellipsis/Implicits;Anaphora/Coreference"}
|
||
|
|
{"idx": "572", "label": "not_entailment", "sentence1": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "sentence2": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and Bitcoin's supposed to be faster and more sustainable.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "573", "label": "not_entailment", "sentence1": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and Bitcoin's supposed to be faster and more sustainable.", "sentence2": "From a quick Google search, Bitcoin Cash was created as a hard fork of Bitcoin and it's supposed to be faster and more sustainable.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "574", "label": "entailment", "sentence1": "Such a cute furry ball of personality, her last days were painful for her and us but at least I had the time to make my peace and say goodbye while she was still there.", "sentence2": "Such a cute furry ball of personality, her last nights were painful for her and us but at least I had the time to make my peace and say goodbye while she was still there.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "575", "label": "entailment", "sentence1": "Such a cute furry ball of personality, her last nights were painful for her and us but at least I had the time to make my peace and say goodbye while she was still there.", "sentence2": "Such a cute furry ball of personality, her last days were painful for her and us but at least I had the time to make my peace and say goodbye while she was still there.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "576", "label": "not_entailment", "sentence1": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam after a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "sentence2": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam until a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "lexical-semantics": "Lexical entailment", "logic": "Temporal"}
|
||
|
|
{"idx": "577", "label": "not_entailment", "sentence1": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam until a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "sentence2": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam after a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "lexical-semantics": "Lexical entailment", "logic": "Temporal"}
|
||
|
|
{"idx": "578", "label": "entailment", "sentence1": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam after a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "sentence2": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam due in part to a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "579", "label": "entailment", "sentence1": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam due in part to a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "sentence2": "He abandoned the radical teachings of the Nation of Islam in favor of mainstream Islam after a pilgrimage to Mecca where he witnessed Muslims of all races coming together in solidarity.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "580", "label": "entailment", "sentence1": "Every lunch hour I make it my goal to sift through one research paper.", "sentence2": "Every day around noon, I make it my goal to sift through one research paper.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "581", "label": "entailment", "sentence1": "Every day around noon, I make it my goal to sift through one research paper.", "sentence2": "Every lunch hour I make it my goal to sift through one research paper.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "582", "label": "entailment", "sentence1": "Every lunch hour I make it my goal to sift through one research paper.", "sentence2": "Today at lunch, I had the goal of sifting through one research paper.", "logic": "Universal"}
|
||
|
|
{"idx": "583", "label": "not_entailment", "sentence1": "Today at lunch, I had the goal of sifting through one research paper.", "sentence2": "Every lunch hour I make it my goal to sift through one research paper.", "logic": "Universal"}
|
||
|
|
{"idx": "584", "label": "not_entailment", "sentence1": "Every lunch hour I make it my goal to sift through one research paper.", "sentence2": "Every night, I make it my goal to sift through one research paper.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "585", "label": "not_entailment", "sentence1": "Every night, I make it my goal to sift through one research paper.", "sentence2": "Every lunch hour I make it my goal to sift through one research paper.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "586", "label": "not_entailment", "sentence1": "David Tennant's episodes were definitely the scariest (and best) in years.", "sentence2": "David Tennant's episodes were definitely the scariest (and best) ever.", "logic": "Temporal"}
|
||
|
|
{"idx": "587", "label": "entailment", "sentence1": "David Tennant's episodes were definitely the scariest (and best) ever.", "sentence2": "David Tennant's episodes were definitely the scariest (and best) in years.", "logic": "Temporal"}
|
||
|
|
{"idx": "588", "label": "entailment", "sentence1": "David Tennant is the best Doctor in the series.", "sentence2": "David Tennant is the best Doctor in the Doctor Who series.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Ellipsis/Implicits", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "589", "label": "entailment", "sentence1": "David Tennant is the best Doctor in the Doctor Who series.", "sentence2": "David Tennant is the best Doctor in the series.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Ellipsis/Implicits", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "590", "label": "not_entailment", "sentence1": "David Tennant is the best Doctor in the series.", "sentence2": "David Tennant is the best Doctor in the House, M.D. series.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "591", "label": "not_entailment", "sentence1": "David Tennant is the best Doctor in the House, M.D. series.", "sentence2": "David Tennant is the best Doctor in the series.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "592", "label": "entailment", "sentence1": "Fun fact, that guy in the Ireland jacket is on SNL now.", "sentence2": "Fun fact, that guy in the Ireland jacket is on Saturday Night Live now.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "593", "label": "entailment", "sentence1": "Fun fact, that guy in the Ireland jacket is on Saturday Night Live now.", "sentence2": "Fun fact, that guy in the Ireland jacket is on SNL now.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "594", "label": "not_entailment", "sentence1": "Last time I visited was nearly 6 months ago and I am still finding husky fur on my socks.", "sentence2": "Last time I visited my friend was nearly 6 months ago and I am still finding husky fur on my socks.", "predicate-argument-structure": "Core args", "logic": "Non-monotone"}
|
||
|
|
{"idx": "595", "label": "not_entailment", "sentence1": "Last time I visited my friend was nearly 6 months ago and I am still finding husky fur on my socks.", "sentence2": "Last time I visited was nearly 6 months ago and I am still finding husky fur on my socks.", "predicate-argument-structure": "Core args", "logic": "Non-monotone"}
|
||
|
|
{"idx": "596", "label": "not_entailment", "sentence1": "Last time I visited was nearly 6 months ago and I am still finding husky fur on my socks.", "sentence2": "Last time I visited was more than 6 months ago and I am still finding husky fur on my socks.", "logic": "Temporal"}
|
||
|
|
{"idx": "597", "label": "not_entailment", "sentence1": "Last time I visited was more than 6 months ago and I am still finding husky fur on my socks.", "sentence2": "Last time I visited was nearly 6 months ago and I am still finding husky fur on my socks.", "logic": "Temporal"}
|
||
|
|
{"idx": "598", "label": "entailment", "sentence1": "That perspective makes it look gigantic.", "sentence2": "That perspective makes it seem gigantic.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "599", "label": "entailment", "sentence1": "That perspective makes it seem gigantic.", "sentence2": "That perspective makes it look gigantic.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "600", "label": "not_entailment", "sentence1": "That perspective makes it look gigantic.", "sentence2": "That perspective makes it look miniscule.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "601", "label": "not_entailment", "sentence1": "That perspective makes it look miniscule.", "sentence2": "That perspective makes it look gigantic.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "602", "label": "not_entailment", "sentence1": "That perspective makes it look gigantic.", "sentence2": "That perspective makes it sound gigantic.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "603", "label": "not_entailment", "sentence1": "That perspective makes it sound gigantic.", "sentence2": "That perspective makes it look gigantic.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "604", "label": "not_entailment", "sentence1": "Unshielded radiation from a nuclear core could kill you in a matter of hours.", "sentence2": "Unshielded radiation from a nuclear core will kill you in a matter of hours.", "lexical-semantics": "Lexical entailment;Factivity"}
|
||
|
|
{"idx": "605", "label": "entailment", "sentence1": "Unshielded radiation from a nuclear core will kill you in a matter of hours.", "sentence2": "Unshielded radiation from a nuclear core could kill you in a matter of hours.", "lexical-semantics": "Lexical entailment;Factivity"}
|
||
|
|
{"idx": "606", "label": "entailment", "sentence1": "I think the unrealistic part is him surviving the blunt force of the blast.", "sentence2": "He survived the blunt force of the blast.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "607", "label": "not_entailment", "sentence1": "He survived the blunt force of the blast.", "sentence2": "I think the unrealistic part is him surviving the blunt force of the blast.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "608", "label": "not_entailment", "sentence1": "The theory that they are products of the radiation from the bomb is genius.", "sentence2": "They are products of the radiation from the bomb.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "609", "label": "not_entailment", "sentence1": "They are products of the radiation from the bomb.", "sentence2": "The theory that they are products of the radiation from the bomb is genius.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "610", "label": "entailment", "sentence1": "The theory that they are products of the radiation from the bomb is correct.", "sentence2": "They are products of the radiation from the bomb.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "611", "label": "entailment", "sentence1": "They are products of the radiation from the bomb.", "sentence2": "The theory that they are products of the radiation from the bomb is correct.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "612", "label": "not_entailment", "sentence1": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "sentence2": "The last ~2.5 million years could be called \"humans\".", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "613", "label": "not_entailment", "sentence1": "The last ~2.5 million years could be called \"humans\".", "sentence2": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "614", "label": "entailment", "sentence1": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "sentence2": "Plenty of other species could be called \"humans\".", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "615", "label": "not_entailment", "sentence1": "Plenty of other species could be called \"humans\".", "sentence2": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "616", "label": "not_entailment", "sentence1": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "sentence2": "Every human alive today is a member of other species of humans over the last ~2.5 million years that could be called \"humans\".", "knowledge": "Common sense"}
|
||
|
|
{"idx": "617", "label": "not_entailment", "sentence1": "Every human alive today is a member of other species of humans over the last ~2.5 million years that could be called \"humans\".", "sentence2": "Every human alive today is a member of the homo sapiens species, but there have been plenty of other species of humans over the last ~2.5 million years that could be called \"humans\".", "knowledge": "Common sense"}
|
||
|
|
{"idx": "618", "label": "not_entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "sentence2": "I couldn\u2019t bring myself to throw it away, not out of the fondness of all the memories surrounding that time period.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "619", "label": "not_entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, not out of the fondness of all the memories surrounding that time period.", "sentence2": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "620", "label": "not_entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "sentence2": "I couldn\u2019t bring myself to throw it away, out of affection to her.", "predicate-argument-structure": "Coordination scope", "logic": "Negation"}
|
||
|
|
{"idx": "621", "label": "not_entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, out of affection to her.", "sentence2": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "predicate-argument-structure": "Coordination scope", "logic": "Negation"}
|
||
|
|
{"idx": "622", "label": "entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "sentence2": "I couldn\u2019t bring myself to throw it away, out of the fondness of all the memories surrounding the time period.", "predicate-argument-structure": "Coordination scope;Prepositional phrases", "logic": "Negation"}
|
||
|
|
{"idx": "623", "label": "entailment", "sentence1": "I couldn\u2019t bring myself to throw it away, out of the fondness of all the memories surrounding the time period.", "sentence2": "I couldn\u2019t bring myself to throw it away, not out of affection to her, but rather the fondness of all the memories surrounding that time period.", "predicate-argument-structure": "Coordination scope;Prepositional phrases", "logic": "Negation"}
|
||
|
|
{"idx": "624", "label": "entailment", "sentence1": "You know that some life changing actions must be taken when grandma reacts with the sad emoji.", "sentence2": "You know that some actions must be taken when grandma reacts with the sad emoji.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "625", "label": "not_entailment", "sentence1": "You know that some actions must be taken when grandma reacts with the sad emoji.", "sentence2": "You know that some life changing actions must be taken when grandma reacts with the sad emoji.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "626", "label": "not_entailment", "sentence1": "You know that some life changing actions must be taken when grandma reacts with the sad emoji.", "sentence2": "You know that some life-changing actions must be taken when grandma reacts with emoji.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone;Conditionals"}
|
||
|
|
{"idx": "627", "label": "entailment", "sentence1": "You know that some life-changing actions must be taken when grandma reacts with emoji.", "sentence2": "You know that some life changing actions must be taken when grandma reacts with the sad emoji.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone;Conditionals"}
|
||
|
|
{"idx": "628", "label": "entailment", "sentence1": "I have never seen a hummingbird not flying.", "sentence2": "I have always seen hummingbirds flying.", "lexical-semantics": "Quantifiers", "logic": "Double negation"}
|
||
|
|
{"idx": "629", "label": "entailment", "sentence1": "I have always seen hummingbirds flying.", "sentence2": "I have never seen a hummingbird not flying.", "lexical-semantics": "Quantifiers", "logic": "Double negation"}
|
||
|
|
{"idx": "630", "label": "not_entailment", "sentence1": "I have never seen a hummingbird not flying.", "sentence2": "I have never seen a hummingbird.", "logic": "Downward monotone"}
|
||
|
|
{"idx": "631", "label": "entailment", "sentence1": "I have never seen a hummingbird.", "sentence2": "I have never seen a hummingbird not flying.", "logic": "Downward monotone"}
|
||
|
|
{"idx": "632", "label": "not_entailment", "sentence1": "I have never seen a hummingbird not flying.", "sentence2": "I have never seen a bird not flying.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
|
||
|
|
{"idx": "633", "label": "entailment", "sentence1": "I have never seen a bird not flying.", "sentence2": "I have never seen a hummingbird not flying.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
|
||
|
|
{"idx": "634", "label": "entailment", "sentence1": "I wish I could give both of you an upvote to share.", "sentence2": "I wish I could give an upvote to both of you to share.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "635", "label": "entailment", "sentence1": "I wish I could give an upvote to both of you to share.", "sentence2": "I wish I could give both of you an upvote to share.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "636", "label": "entailment", "sentence1": "I wish I could give both of you an upvote to share.", "sentence2": "I wish both of you could get an upvote from me to share.", "predicate-argument-structure": "Datives", "knowledge": "Common sense"}
|
||
|
|
{"idx": "637", "label": "entailment", "sentence1": "I wish both of you could get an upvote from me to share.", "sentence2": "I wish I could give both of you an upvote to share.", "predicate-argument-structure": "Datives", "knowledge": "Common sense"}
|
||
|
|
{"idx": "638", "label": "not_entailment", "sentence1": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds are red (hence why the feeders are usually these colours).", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "639", "label": "not_entailment", "sentence1": "Hummingbirds are red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "640", "label": "entailment", "sentence1": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds are really attracted to bright red (hence why the feeders are usually these colours).", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "641", "label": "not_entailment", "sentence1": "Hummingbirds are really attracted to bright red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "642", "label": "entailment", "sentence1": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "sentence2": "The feeders are usually coloured so as to attract hummingbirds.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "643", "label": "not_entailment", "sentence1": "The feeders are usually coloured so as to attract hummingbirds.", "sentence2": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "knowledge": "Common sense"}
|
||
|
|
{"idx": "644", "label": "not_entailment", "sentence1": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds have monochromatic vision.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "645", "label": "not_entailment", "sentence1": "Hummingbirds have monochromatic vision.", "sentence2": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "knowledge": "Common sense"}
|
||
|
|
{"idx": "646", "label": "not_entailment", "sentence1": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "sentence2": "Hummingbirds will feed from feeders of all colours.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "647", "label": "not_entailment", "sentence1": "Hummingbirds will feed from feeders of all colours.", "sentence2": "Hummingbirds are really attracted to bright orange and red (hence why the feeders are usually these colours).", "knowledge": "Common sense"}
|
||
|
|
{"idx": "648", "label": "entailment", "sentence1": "Temperature and snow consistency must be just right.", "sentence2": "Temperature must be just right.", "logic": "Conjunction"}
|
||
|
|
{"idx": "649", "label": "not_entailment", "sentence1": "Temperature must be just right.", "sentence2": "Temperature and snow consistency must be just right.", "logic": "Conjunction"}
|
||
|
|
{"idx": "650", "label": "not_entailment", "sentence1": "After the clingers completely immobilize her, I carry her to the tub.", "sentence2": "After the clingers completely immobilize her, I carry her to the tub or sink.", "logic": "Disjunction"}
|
||
|
|
{"idx": "651", "label": "not_entailment", "sentence1": "After the clingers completely immobilize her, I carry her to the tub or sink.", "sentence2": "After the clingers completely immobilize her, I carry her to the tub.", "logic": "Disjunction"}
|
||
|
|
{"idx": "652", "label": "not_entailment", "sentence1": "Life is either a daring adventure or nothing at all.", "sentence2": "Life is nothing at all.", "logic": "Disjunction"}
|
||
|
|
{"idx": "653", "label": "entailment", "sentence1": "Life is nothing at all.", "sentence2": "Life is either a daring adventure or nothing at all.", "logic": "Disjunction"}
|
||
|
|
{"idx": "654", "label": "not_entailment", "sentence1": "Life is either a daring adventure or nothing at all.", "sentence2": "Life is a daring adventure.", "logic": "Disjunction"}
|
||
|
|
{"idx": "655", "label": "entailment", "sentence1": "Life is a daring adventure.", "sentence2": "Life is either a daring adventure or nothing at all.", "logic": "Disjunction"}
|
||
|
|
{"idx": "656", "label": "not_entailment", "sentence1": "Life is either a daring adventure or nothing at all.", "sentence2": "Life is a not a daring adventure.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "657", "label": "not_entailment", "sentence1": "Life is a not a daring adventure.", "sentence2": "Life is either a daring adventure or nothing at all.", "logic": "Disjunction;Negation"}
|
||
|
|
{"idx": "658", "label": "not_entailment", "sentence1": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first 30 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "659", "label": "not_entailment", "sentence1": "Just watched the first 30 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "660", "label": "not_entailment", "sentence1": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first 10 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "661", "label": "not_entailment", "sentence1": "Just watched the first 10 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "662", "label": "entailment", "sentence1": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first quarter hour, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "663", "label": "entailment", "sentence1": "Just watched the first quarter hour, got bored, skipped to the magic bit, it's funnier as a GIF.", "sentence2": "Just watched the first 15 minutes, got bored, skipped to the magic bit, it's funnier as a GIF.", "logic": "Intervals/Numbers;Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "664", "label": "entailment", "sentence1": "Has bad reviews on Amazon but this clip was funny.", "sentence2": "This clip was funny.", "logic": "Conjunction"}
|
||
|
|
{"idx": "665", "label": "not_entailment", "sentence1": "This clip was funny.", "sentence2": "Has bad reviews on Amazon but this clip was funny.", "logic": "Conjunction"}
|
||
|
|
{"idx": "666", "label": "not_entailment", "sentence1": "You\u2019re walking through the woods, there\u2019s no one around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!", "sentence2": "You\u2019re walking through the woods, there are lurkers are around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!", "lexical-semantics": "Quantifiers", "logic": "Existential;Negation"}
|
||
|
|
{"idx": "667", "label": "not_entailment", "sentence1": "You\u2019re walking through the woods, there are lurkers are around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!", "sentence2": "You\u2019re walking through the woods, there\u2019s no one around and your phone is dead, out of the corner of your eye you spot him, Shia LaBeouf!", "lexical-semantics": "Quantifiers", "logic": "Existential;Negation"}
|
||
|
|
{"idx": "668", "label": "not_entailment", "sentence1": "Weird that you want to show something to a stack of papers.", "sentence2": "Weird that you want to show this video to a stack of papers.", "logic": "Existential;Upward monotone"}
|
||
|
|
{"idx": "669", "label": "entailment", "sentence1": "Weird that you want to show this video to a stack of papers.", "sentence2": "Weird that you want to show something to a stack of papers.", "logic": "Existential;Upward monotone"}
|
||
|
|
{"idx": "670", "label": "not_entailment", "sentence1": "I think this was part of the last season of Bojack Horseman.", "sentence2": "I think this was part of the last episode of Bojack Horseman.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "671", "label": "entailment", "sentence1": "I think this was part of the last episode of Bojack Horseman.", "sentence2": "I think this was part of the last season of Bojack Horseman.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "672", "label": "entailment", "sentence1": "If you think about it, it's the perfect reverse psychology tactic.", "sentence2": "It's the perfect reverse psychology tactic.", "logic": "Conditionals"}
|
||
|
|
{"idx": "673", "label": "entailment", "sentence1": "It's the perfect reverse psychology tactic.", "sentence2": "If you think about it, it's the perfect reverse psychology tactic.", "logic": "Conditionals"}
|
||
|
|
{"idx": "674", "label": "entailment", "sentence1": "This is honestly the most oniony article I've seen on the entire internet.", "sentence2": "This article reads like satire.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "675", "label": "not_entailment", "sentence1": "This article reads like satire.", "sentence2": "This is honestly the most oniony article I've seen on the entire internet.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "676", "label": "entailment", "sentence1": "If everyone believed my jokes, they'd know exactly who I was.", "sentence2": "My jokes fully reveal my character.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "677", "label": "entailment", "sentence1": "My jokes fully reveal my character.", "sentence2": "If everyone believed my jokes, they'd know exactly who I was.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "678", "label": "not_entailment", "sentence1": "If everyone believed my jokes, they'd know exactly who I was.", "sentence2": "My jokes reflect exactly zero of my character.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "679", "label": "not_entailment", "sentence1": "My jokes reflect exactly zero of my character.", "sentence2": "If everyone believed my jokes, they'd know exactly who I was.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "680", "label": "not_entailment", "sentence1": "If everyone believed my jokes, they'd know exactly who I was.", "sentence2": "If everyone believed my jokes, they'd be quite concerned for me.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "681", "label": "not_entailment", "sentence1": "If everyone believed my jokes, they'd be quite concerned for me.", "sentence2": "If everyone believed my jokes, they'd know exactly who I was.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "682", "label": "entailment", "sentence1": "In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.", "sentence2": "Working hours go up as you look further back in time from 1940.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "683", "label": "not_entailment", "sentence1": "Working hours go up as you look further back in time from 1940.", "sentence2": "In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "684", "label": "not_entailment", "sentence1": "In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.", "sentence2": "Working hours go down as you look further back in time from 1940.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "685", "label": "not_entailment", "sentence1": "Working hours go down as you look further back in time from 1940.", "sentence2": "In the 1890's a typical worker worked 60 hours per week; down to 48 by 1920 and 40 by 1940.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "686", "label": "entailment", "sentence1": "There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.", "sentence2": "I waited until Prime availability and paid a higher sticker price for a book so I could get free 2-day shipping.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "687", "label": "not_entailment", "sentence1": "I waited until Prime availability and paid a higher sticker price for a book so I could get free 2-day shipping.", "sentence2": "There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "688", "label": "not_entailment", "sentence1": "There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.", "sentence2": "I waited until Prime availability and paid a higher Shipping & Handling fee to have a book in 2 days vs. 2 weeks.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "689", "label": "not_entailment", "sentence1": "I waited until Prime availability and paid a higher Shipping & Handling fee to have a book in 2 days vs. 2 weeks.", "sentence2": "There was a book I was trying to import and I saw that it was finally available with Amazon Prime shipping and I ended up paying like double the other prices to have it in 2 days vs. 2 weeks.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "690", "label": "entailment", "sentence1": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "sentence2": "The Labor Theory of Value is at the heart of the economics of cost.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "691", "label": "entailment", "sentence1": "The Labor Theory of Value is at the heart of the economics of cost.", "sentence2": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "692", "label": "not_entailment", "sentence1": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "sentence2": "The Labor Theory of Value is a scarce determinant of the economics of cost.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "693", "label": "not_entailment", "sentence1": "The Labor Theory of Value is a scarce determinant of the economics of cost.", "sentence2": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "694", "label": "not_entailment", "sentence1": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "sentence2": "Supply and demand... scarcity... all these economic principles that determine the cost of things are related to the value of human labor.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "695", "label": "not_entailment", "sentence1": "Supply and demand... scarcity... all these economic principles that determine the cost of things are related to the value of human labor.", "sentence2": "Supply and demand... scarcity... all these economic principles that determine the cost of things really boil down to the value of human labor.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "696", "label": "entailment", "sentence1": "While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.", "sentence2": "Their loading capacity was about 58 tonnes.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "697", "label": "entailment", "sentence1": "Their loading capacity was about 58 tonnes.", "sentence2": "While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "698", "label": "not_entailment", "sentence1": "While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.", "sentence2": "Their loading capacity was about 262 tonnes.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "699", "label": "not_entailment", "sentence1": "Their loading capacity was about 262 tonnes.", "sentence2": "While their designed displacement was 262 tonnes (258 long tons), they displaced about 320 tonnes (310 long tons) fully loaded.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "700", "label": "not_entailment", "sentence1": "Due to inadequate funding, 76 T and the rest of the 250t class were essentially coastal vessels, despite the original intention that they would be used for \"high seas\" operations.", "sentence2": "Due to inadequate funding, 76 T and the rest of the 250t class were essentially high seas vessels, despite the original intention that they would be used for coastal operations.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "701", "label": "not_entailment", "sentence1": "Due to inadequate funding, 76 T and the rest of the 250t class were essentially high seas vessels, despite the original intention that they would be used for coastal operations.", "sentence2": "Due to inadequate funding, 76 T and the rest of the 250t class were essentially coastal vessels, despite the original intention that they would be used for \"high seas\" operations.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "702", "label": "entailment", "sentence1": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Cologne.", "sentence2": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Germany.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "703", "label": "not_entailment", "sentence1": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Germany.", "sentence2": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Cologne.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "704", "label": "not_entailment", "sentence1": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Cologne.", "sentence2": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Italy.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "705", "label": "not_entailment", "sentence1": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Italy.", "sentence2": "He stayed in England until November 1918, when he again took up his YMCA duties, establishing a rest hut and library in Cologne.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "706", "label": "not_entailment", "sentence1": "Throughout the Raffles stories patriotism runs as an intermittent theme\u2014to such an extent that the writer William Vivian Butler describes him as a \"super-patriot\".", "sentence2": "Throughout the Raffles stories patriotism runs as an intermittent theme\u2014to such an extent that the writer William Vivian Butler describes him as a \"anti-patriot\".", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "707", "label": "not_entailment", "sentence1": "Throughout the Raffles stories patriotism runs as an intermittent theme\u2014to such an extent that the writer William Vivian Butler describes him as a \"anti-patriot\".", "sentence2": "Throughout the Raffles stories patriotism runs as an intermittent theme\u2014to such an extent that the writer William Vivian Butler describes him as a \"super-patriot\".", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "708", "label": "not_entailment", "sentence1": "A faint constellation, its three brightest stars\u2014Alpha, Beta and Gamma Pyxidis\u2014are in a rough line.", "sentence2": "A faint constellation, its three brightest stars\u2014Alpha, Beta and Gamma Pyxidis\u2014are in an equilateral triangle.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "709", "label": "not_entailment", "sentence1": "A faint constellation, its three brightest stars\u2014Alpha, Beta and Gamma Pyxidis\u2014are in an equilateral triangle.", "sentence2": "A faint constellation, its three brightest stars\u2014Alpha, Beta and Gamma Pyxidis\u2014are in a rough line.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "710", "label": "entailment", "sentence1": "Kappa Pyxidis was catalogued but not given a Bayer designation by Lacaille, but Gould felt the star was bright enough to warrant a letter.", "sentence2": "Lacaille and Gould agreed about the designation of Kappa Pyxidis.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "711", "label": "not_entailment", "sentence1": "Lacaille and Gould agreed about the designation of Kappa Pyxidis.", "sentence2": "Kappa Pyxidis was catalogued but not given a Bayer designation by Lacaille, but Gould felt the star was bright enough to warrant a letter.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "712", "label": "not_entailment", "sentence1": "Kappa Pyxidis was catalogued but not given a Bayer designation by Lacaille, but Gould felt the star was bright enough to warrant a letter.", "sentence2": "Lacaille and Gould disagreed about the designation of Kappa Pyxidis.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "713", "label": "not_entailment", "sentence1": "Lacaille and Gould disagreed about the designation of Kappa Pyxidis.", "sentence2": "Kappa Pyxidis was catalogued but not given a Bayer designation by Lacaille, but Gould felt the star was bright enough to warrant a letter.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "714", "label": "entailment", "sentence1": "A formation of approximately 50 officers of the Baltimore Police eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "sentence2": "A formation of approximately 50 officers of the police of the City of Baltimore eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "lexical-semantics": "Named entities", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "715", "label": "entailment", "sentence1": "A formation of approximately 50 officers of the police of the City of Baltimore eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "sentence2": "A formation of approximately 50 officers of the Baltimore Police eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "lexical-semantics": "Named entities", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "716", "label": "not_entailment", "sentence1": "A formation of approximately 50 officers of the Baltimore Police eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "sentence2": "A formation of approximately 50 officers of the police of from outside Baltimore eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "lexical-semantics": "Named entities", "knowledge": "Common sense"}
|
||
|
|
{"idx": "717", "label": "not_entailment", "sentence1": "A formation of approximately 50 officers of the police of from outside Baltimore eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "sentence2": "A formation of approximately 50 officers of the Baltimore Police eventually placed themselves between the rioters and the militiamen, allowing the 6th Massachusetts to proceed to Camden Station.", "lexical-semantics": "Named entities", "knowledge": "Common sense"}
|
||
|
|
{"idx": "718", "label": "entailment", "sentence1": "The regiment returned to Baltimore on May 13, when Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "sentence2": "On May 13, Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "logic": "Conjunction"}
|
||
|
|
{"idx": "719", "label": "not_entailment", "sentence1": "On May 13, Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "sentence2": "The regiment returned to Baltimore on May 13, when Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "logic": "Conjunction"}
|
||
|
|
{"idx": "720", "label": "not_entailment", "sentence1": "The regiment returned to Baltimore on May 13, when Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "sentence2": "Long before May 13, Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "lexical-semantics": "Lexical entailment", "logic": "Temporal;Conjunction"}
|
||
|
|
{"idx": "721", "label": "not_entailment", "sentence1": "Long before May 13, Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "sentence2": "The regiment returned to Baltimore on May 13, when Major General Benjamin F. Butler occupied the city with several Union regiments in anticipation of a Confederate attack on Baltimore which never developed.", "lexical-semantics": "Lexical entailment", "logic": "Temporal;Conjunction"}
|
||
|
|
{"idx": "722", "label": "not_entailment", "sentence1": "Threatened by habitat loss and hunting, ruffed lemurs are facing extinction in the wild.", "sentence2": "Threatened by habitat loss and hunting, ruffed lemurs are extinct in the wild.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "723", "label": "not_entailment", "sentence1": "Threatened by habitat loss and hunting, ruffed lemurs are extinct in the wild.", "sentence2": "Threatened by habitat loss and hunting, ruffed lemurs are facing extinction in the wild.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "724", "label": "not_entailment", "sentence1": "White-headed lemurs, on the other hand, prefer the understory and lower canopy, below 15 m (49 ft), while the ruffed lemurs mainly keep to the upper canopy, above 15 m (49 ft).", "sentence2": "Ruffed lemurs prefer to live lower than white-headed lemurs.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "725", "label": "not_entailment", "sentence1": "Ruffed lemurs prefer to live lower than white-headed lemurs.", "sentence2": "White-headed lemurs, on the other hand, prefer the understory and lower canopy, below 15 m (49 ft), while the ruffed lemurs mainly keep to the upper canopy, above 15 m (49 ft).", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "726", "label": "entailment", "sentence1": "White-headed lemurs, on the other hand, prefer the understory and lower canopy, below 15 m (49 ft), while the ruffed lemurs mainly keep to the upper canopy, above 15 m (49 ft).", "sentence2": "Ruffed lemurs prefer to live higher than white-headed lemurs.", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "727", "label": "not_entailment", "sentence1": "Ruffed lemurs prefer to live higher than white-headed lemurs.", "sentence2": "White-headed lemurs, on the other hand, prefer the understory and lower canopy, below 15 m (49 ft), while the ruffed lemurs mainly keep to the upper canopy, above 15 m (49 ft).", "logic": "Intervals/Numbers", "knowledge": "Common sense"}
|
||
|
|
{"idx": "728", "label": "not_entailment", "sentence1": "They are diurnal; although peak activity occurs during the early morning and late afternoon or evening, resting usually occurs around midday.", "sentence2": "They are nocturnal; although peak activity occurs during the early morning and late afternoon or evening, resting usually occurs around midnight.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "729", "label": "not_entailment", "sentence1": "They are nocturnal; although peak activity occurs during the early morning and late afternoon or evening, resting usually occurs around midnight.", "sentence2": "They are diurnal; although peak activity occurs during the early morning and late afternoon or evening, resting usually occurs around midday.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "730", "label": "entailment", "sentence1": "The battlecruiser Seydlitz struck a mine while en route to the target, and had to withdraw.", "sentence2": "The battlecruiser Seydlitz struck a mine while en route to the target, and was damaged.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "731", "label": "not_entailment", "sentence1": "The battlecruiser Seydlitz struck a mine while en route to the target, and was damaged.", "sentence2": "The battlecruiser Seydlitz struck a mine while en route to the target, and had to withdraw.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "732", "label": "not_entailment", "sentence1": "The battlecruiser Seydlitz struck a mine while en route to the target, and had to withdraw.", "sentence2": "The battlecruiser Seydlitz struck a mine while en route to the target, and was destroyed.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "733", "label": "not_entailment", "sentence1": "The battlecruiser Seydlitz struck a mine while en route to the target, and was destroyed.", "sentence2": "The battlecruiser Seydlitz struck a mine while en route to the target, and had to withdraw.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "734", "label": "entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Dr. Martin Luther King, Jr.'s assassin.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "735", "label": "entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Dr. Martin Luther King, Jr.'s assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "736", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Kennedy's assassin.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "737", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Kennedy's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "predicate-argument-structure": "Anaphora/Coreference", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "738", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Malcolm X's assassin.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "739", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of Malcolm X's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "740", "label": "entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of his assassin.", "predicate-argument-structure": "Restrictivity"}
|
||
|
|
{"idx": "741", "label": "entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of his assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "predicate-argument-structure": "Restrictivity"}
|
||
|
|
{"idx": "742", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "743", "label": "not_entailment", "sentence1": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader.", "sentence2": "By saying this, Kennedy was admonishing people not to riot in wake of King's death and in effect equating their actions to that of the civil rights leader's assassin.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "744", "label": "not_entailment", "sentence1": "After quoting Abraham Lincoln, he portrayed the American public as a people increasingly succumbing to its violent tendencies that undermined its national ideals.", "sentence2": "After quoting Abraham Lincoln, he portrayed the American public as a people that undermined its national ideals.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "745", "label": "not_entailment", "sentence1": "After quoting Abraham Lincoln, he portrayed the American public as a people that undermined its national ideals.", "sentence2": "After quoting Abraham Lincoln, he portrayed the American public as a people increasingly succumbing to its violent tendencies that undermined its national ideals.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "746", "label": "entailment", "sentence1": "After quoting Abraham Lincoln, he portrayed the American public as a people increasingly succumbing to its violent tendencies that undermined its national ideals.", "sentence2": "After quoting Abraham Lincoln, he portrayed the American public's violent tendencies as undermining its national ideals.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "747", "label": "not_entailment", "sentence1": "After quoting Abraham Lincoln, he portrayed the American public's violent tendencies as undermining its national ideals.", "sentence2": "After quoting Abraham Lincoln, he portrayed the American public as a people increasingly succumbing to its violent tendencies that undermined its national ideals.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "748", "label": "entailment", "sentence1": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "sentence2": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities, and rarely concentrated in one pit.", "predicate-argument-structure": "Coordination scope", "logic": "Disjunction;Conjunction"}
|
||
|
|
{"idx": "749", "label": "entailment", "sentence1": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities, and rarely concentrated in one pit.", "sentence2": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "predicate-argument-structure": "Coordination scope", "logic": "Disjunction;Conjunction"}
|
||
|
|
{"idx": "750", "label": "not_entailment", "sentence1": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "sentence2": "Hazelnuts have often been found on other Mesolithic sites concentrated in one pit, but rarely in such quantities.", "predicate-argument-structure": "Coordination scope", "logic": "Disjunction;Conjunction"}
|
||
|
|
{"idx": "751", "label": "not_entailment", "sentence1": "Hazelnuts have often been found on other Mesolithic sites concentrated in one pit, but rarely in such quantities.", "sentence2": "Hazelnuts have often been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "predicate-argument-structure": "Coordination scope", "logic": "Disjunction;Conjunction"}
|
||
|
|
{"idx": "752", "label": "not_entailment", "sentence1": "Hazelnuts have been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "sentence2": "Hazelnuts have rarely been found on other Mesolithic sites.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "753", "label": "not_entailment", "sentence1": "Hazelnuts have rarely been found on other Mesolithic sites.", "sentence2": "Hazelnuts have been found on other Mesolithic sites, but rarely in such quantities or concentrated in one pit.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "754", "label": "entailment", "sentence1": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "sentence2": "Makers of chocolate confectioneries use at least 25% of the global supply of hazelnuts.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "755", "label": "not_entailment", "sentence1": "Makers of chocolate confectioneries use at least 25% of the global supply of hazelnuts.", "sentence2": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "756", "label": "not_entailment", "sentence1": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "sentence2": "Makers of nuts use at least 25% of the global supply of hazelnuts.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "757", "label": "not_entailment", "sentence1": "Makers of nuts use at least 25% of the global supply of hazelnuts.", "sentence2": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "758", "label": "not_entailment", "sentence1": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "sentence2": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses almost 25% of the global supply of hazelnuts.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "759", "label": "not_entailment", "sentence1": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses almost 25% of the global supply of hazelnuts.", "sentence2": "Ferrero SpA, the maker of Nutella and Ferrero Rocher, uses 25% of the global supply of hazelnuts.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "760", "label": "not_entailment", "sentence1": "Dacquoise, a French dessert cake, often contains a layer of hazelnut meringue.", "sentence2": "Dacquoise, a French dessert cake, always contains a layer of hazelnut meringue.", "lexical-semantics": "Lexical entailment;Quantifiers"}
|
||
|
|
{"idx": "761", "label": "entailment", "sentence1": "Dacquoise, a French dessert cake, always contains a layer of hazelnut meringue.", "sentence2": "Dacquoise, a French dessert cake, often contains a layer of hazelnut meringue.", "lexical-semantics": "Lexical entailment;Quantifiers"}
|
||
|
|
{"idx": "762", "label": "entailment", "sentence1": "Middens with damp, anaerobic conditions can even preserve organic remains.", "sentence2": "Dry conditions and oxygen contribute to the degredation of organic remains in middens.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "763", "label": "entailment", "sentence1": "Dry conditions and oxygen contribute to the degredation of organic remains in middens.", "sentence2": "Middens with damp, anaerobic conditions can even preserve organic remains.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "764", "label": "not_entailment", "sentence1": "Middens with damp, anaerobic conditions can even preserve organic remains.", "sentence2": "Damp conditions and lack of oxygen contribute to the degredation of organic remains in middens.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "765", "label": "not_entailment", "sentence1": "Damp conditions and lack of oxygen contribute to the degredation of organic remains in middens.", "sentence2": "Middens with damp, anaerobic conditions can even preserve organic remains.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "766", "label": "entailment", "sentence1": "Mass analysis is based on analyzing debitage populations based on their size distribution across specified size grades.", "sentence2": "One form of debitage analysis is based on analyzing debitage populations based on their size distribution across specified size grades.", "logic": "Existential"}
|
||
|
|
{"idx": "767", "label": "not_entailment", "sentence1": "One form of debitage analysis is based on analyzing debitage populations based on their size distribution across specified size grades.", "sentence2": "Mass analysis is based on analyzing debitage populations based on their size distribution across specified size grades.", "logic": "Existential"}
|
||
|
|
{"idx": "768", "label": "not_entailment", "sentence1": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "sentence2": "In some (e.g. Quercus), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Castanea), they are not.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "769", "label": "not_entailment", "sentence1": "In some (e.g. Quercus), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Castanea), they are not.", "sentence2": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "770", "label": "entailment", "sentence1": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "sentence2": "In Castanea, the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in most Quercus, they are not.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Existential"}
|
||
|
|
{"idx": "771", "label": "not_entailment", "sentence1": "In Castanea, the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in most Quercus, they are not.", "sentence2": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Existential"}
|
||
|
|
{"idx": "772", "label": "entailment", "sentence1": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "sentence2": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not developed into sharp spines.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "773", "label": "entailment", "sentence1": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not developed into sharp spines.", "sentence2": "In some (e.g. Castanea), the scales are developed into sharp spines, giving the nut protection from squirrels and other seed predators, while in others (e.g. most Quercus), they are not.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "774", "label": "entailment", "sentence1": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "sentence2": "Prismatic blades appeared in high frequencies during the Upper Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "775", "label": "not_entailment", "sentence1": "Prismatic blades appeared in high frequencies during the Upper Paleolithic.", "sentence2": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "776", "label": "not_entailment", "sentence1": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "sentence2": "Prismatic blades appeared in high frequencies during the Middle Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "777", "label": "not_entailment", "sentence1": "Prismatic blades appeared in high frequencies during the Middle Paleolithic.", "sentence2": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "778", "label": "entailment", "sentence1": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "sentence2": "Prismatic appeared in high frequencies after the transition between the Middle and Upper Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "779", "label": "not_entailment", "sentence1": "Prismatic appeared in high frequencies after the transition between the Middle and Upper Paleolithic.", "sentence2": "Prismatic blades begin to appear in high frequencies during the transition between the Middle and Upper Paleolithic.", "logic": "Temporal"}
|
||
|
|
{"idx": "780", "label": "entailment", "sentence1": "The track was originally titled \"Seibu\" and was almost left off the album before it was rediscovered later during the recording sessions.", "sentence2": "The track was originally titled \"Seibu\" and was left off the album before it was rediscovered later during the recording sessions.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "781", "label": "entailment", "sentence1": "The track was originally titled \"Seibu\" and was left off the album before it was rediscovered later during the recording sessions.", "sentence2": "The track was originally titled \"Seibu\" and was almost left off the album before it was rediscovered later during the recording sessions.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "782", "label": "not_entailment", "sentence1": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "sentence2": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest child of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "lexical-semantics": "Named entities", "logic": "Non-monotone", "knowledge": "Common sense"}
|
||
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|
{"idx": "783", "label": "entailment", "sentence1": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest child of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "sentence2": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "lexical-semantics": "Named entities", "logic": "Non-monotone", "knowledge": "Common sense"}
|
||
|
|
{"idx": "784", "label": "not_entailment", "sentence1": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "sentence2": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest able-bodied son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "logic": "Non-monotone"}
|
||
|
|
{"idx": "785", "label": "not_entailment", "sentence1": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest able-bodied son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "sentence2": "At the age of 24, she was betrothed to Prince Albert Victor, Duke of Clarence and Avondale, the eldest son of the Prince of Wales, but six weeks after the announcement of the engagement, he died unexpectedly of pneumonia.", "logic": "Non-monotone"}
|
||
|
|
{"idx": "786", "label": "entailment", "sentence1": "She was the eldest of four children, the only girl, and \"learned to exercise her native discretion, firmness, and tact\" by resolving her three younger brothers' petty boyhood squabbles.", "sentence2": "She was the eldest of four children, the only girl, and \"learned to exercise her native discretion, firmness, and tact\" by resolving her three brothers' petty boyhood squabbles.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Restrictivity", "knowledge": "Common sense"}
|
||
|
|
{"idx": "787", "label": "entailment", "sentence1": "She was the eldest of four children, the only girl, and \"learned to exercise her native discretion, firmness, and tact\" by resolving her three brothers' petty boyhood squabbles.", "sentence2": "She was the eldest of four children, the only girl, and \"learned to exercise her native discretion, firmness, and tact\" by resolving her three younger brothers' petty boyhood squabbles.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Restrictivity", "knowledge": "Common sense"}
|
||
|
|
{"idx": "788", "label": "entailment", "sentence1": "Albertosaurus and other tyrannosaurids were heterodont, with teeth of different forms depending on their position in the mouth.", "sentence2": "Albertosaurus and other tyrannosaurids were heterodont.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "789", "label": "entailment", "sentence1": "Albertosaurus and other tyrannosaurids were heterodont.", "sentence2": "Albertosaurus and other tyrannosaurids were heterodont, with teeth of different forms depending on their position in the mouth.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "790", "label": "not_entailment", "sentence1": "Albertosaurus and other tyrannosaurids were heterodont, with teeth of different forms depending on their position in the mouth.", "sentence2": "Albertosaurus and other tyrannosaurids were heterodont, with lots of teeth.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "791", "label": "entailment", "sentence1": "Albertosaurus and other tyrannosaurids were heterodont, with lots of teeth.", "sentence2": "Albertosaurus and other tyrannosaurids were heterodont, with teeth of different forms depending on their position in the mouth.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "792", "label": "not_entailment", "sentence1": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are not assigned to Albertosaurus.", "sentence2": "All of these are today seen as nomina dubia, and are not assigned to Albertosaurus.", "logic": "Disjunction"}
|
||
|
|
{"idx": "793", "label": "entailment", "sentence1": "All of these are today seen as nomina dubia, and are not assigned to Albertosaurus.", "sentence2": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are not assigned to Albertosaurus.", "logic": "Disjunction"}
|
||
|
|
{"idx": "794", "label": "entailment", "sentence1": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are not assigned to Albertosaurus.", "sentence2": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are distinguished from Albertosaurus.", "lexical-semantics": "Lexical entailment", "logic": "Double negation"}
|
||
|
|
{"idx": "795", "label": "entailment", "sentence1": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are distinguished from Albertosaurus.", "sentence2": "All of these are today seen as younger synonyms of other species or as nomina dubia, and are not assigned to Albertosaurus.", "lexical-semantics": "Lexical entailment", "logic": "Double negation"}
|
||
|
|
{"idx": "796", "label": "entailment", "sentence1": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "sentence2": "Mass\u00e9na knew that Charles' left wing, commanded by Nauendorf, uniting with Hotze's force, approaching from the east, would attack and very likely push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "797", "label": "entailment", "sentence1": "Mass\u00e9na knew that Charles' left wing, commanded by Nauendorf, uniting with Hotze's force, approaching from the east, would attack and very likely push him out of Z\u00fcrich.", "sentence2": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "798", "label": "not_entailment", "sentence1": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "sentence2": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na doubted Charles would attack and push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "799", "label": "not_entailment", "sentence1": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na doubted Charles would attack and push him out of Z\u00fcrich.", "sentence2": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "800", "label": "not_entailment", "sentence1": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "sentence2": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na would prepare for Charles to attack and very likely push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "801", "label": "not_entailment", "sentence1": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na would prepare for Charles to attack and very likely push him out of Z\u00fcrich.", "sentence2": "If Charles' left wing, commanded by Nauendorf, united with Hotze's force, approaching from the east, Mass\u00e9na knew Charles would attack and very likely push him out of Z\u00fcrich.", "logic": "Conditionals"}
|
||
|
|
{"idx": "802", "label": "entailment", "sentence1": "Ferdinand of Naples refused to pay agreed-upon tribute to France, and his subjects followed this refusal with a rebellion.", "sentence2": "Ferdinand of Naples refused to pay France the agreed-upon tribute, and his subjects followed this refusal with a rebellion.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "803", "label": "entailment", "sentence1": "Ferdinand of Naples refused to pay France the agreed-upon tribute, and his subjects followed this refusal with a rebellion.", "sentence2": "Ferdinand of Naples refused to pay agreed-upon tribute to France, and his subjects followed this refusal with a rebellion.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "804", "label": "entailment", "sentence1": "Furthermore, the French dangerously underestimated Austrian tenacity and military skill.", "sentence2": "Furthermore, the French dangerously underestimated Austrian military skill and tenacity.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "805", "label": "entailment", "sentence1": "Furthermore, the French dangerously underestimated Austrian military skill and tenacity.", "sentence2": "Furthermore, the French dangerously underestimated Austrian tenacity and military skill.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "806", "label": "entailment", "sentence1": "Furthermore, the French dangerously underestimated Austrian tenacity and military skill.", "sentence2": "Furthermore, the French dangerously underestimated Austrian military skill.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "807", "label": "not_entailment", "sentence1": "Furthermore, the French dangerously underestimated Austrian military skill.", "sentence2": "Furthermore, the French dangerously underestimated Austrian tenacity and military skill.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "808", "label": "entailment", "sentence1": "There are four supraocular scales (above the eyes) in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "sentence2": "There are four supraocular scales (above the eyes) in most specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "809", "label": "not_entailment", "sentence1": "There are four supraocular scales (above the eyes) in most specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "sentence2": "There are four supraocular scales (above the eyes) in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "810", "label": "entailment", "sentence1": "There are four supraocular scales (above the eyes) in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "sentence2": "There are four scales above the eyes in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "811", "label": "entailment", "sentence1": "There are four scales above the eyes in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "sentence2": "There are four supraocular scales (above the eyes) in almost all specimens and five supraciliary scales (immediately above the eyes, below the supraoculars).", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "812", "label": "entailment", "sentence1": "All 860 officers and men on board, including Spee, went down with the ship.", "sentence2": "Spee went down with the ship.", "logic": "Universal"}
|
||
|
|
{"idx": "813", "label": "not_entailment", "sentence1": "Spee went down with the ship.", "sentence2": "All 860 officers and men on board, including Spee, went down with the ship.", "logic": "Universal"}
|
||
|
|
{"idx": "814", "label": "not_entailment", "sentence1": "Regional governors could not rely on the king for help in times of crisis, and the ensuing food shortages and political disputes escalated into famines and small-scale civil wars.", "sentence2": "Regional governors could not rely on anyone for help in times of crisis, and the ensuing food shortages and political disputes escalated into famines and small-scale civil wars.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone;Existential;Negation"}
|
||
|
|
{"idx": "815", "label": "entailment", "sentence1": "Regional governors could not rely on anyone for help in times of crisis, and the ensuing food shortages and political disputes escalated into famines and small-scale civil wars.", "sentence2": "Regional governors could not rely on the king for help in times of crisis, and the ensuing food shortages and political disputes escalated into famines and small-scale civil wars.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone;Existential;Negation"}
|
||
|
|
{"idx": "816", "label": "entailment", "sentence1": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of the Middle Kingdom of Egypt restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "817", "label": "entailment", "sentence1": "The pharaohs of the Middle Kingdom of Egypt restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "818", "label": "not_entailment", "sentence1": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of the Middle Kingdom of China restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "819", "label": "not_entailment", "sentence1": "The pharaohs of the Middle Kingdom of China restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "820", "label": "entailment", "sentence1": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of Egypt restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "821", "label": "not_entailment", "sentence1": "The pharaohs of Egypt restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "sentence2": "The pharaohs of the Middle Kingdom restored the country's stability and prosperity, thereby stimulating a resurgence of art, literature, and monumental building projects.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "822", "label": "entailment", "sentence1": "The 15th Tank Corps was a tank corps of the Soviet Union's Red Army.", "sentence2": "The 15th Tank Corps was a corps of the Soviet Union's Red Army.", "lexical-semantics": "Redundancy", "logic": "Upward monotone"}
|
||
|
|
{"idx": "823", "label": "entailment", "sentence1": "The 15th Tank Corps was a corps of the Soviet Union's Red Army.", "sentence2": "The 15th Tank Corps was a tank corps of the Soviet Union's Red Army.", "lexical-semantics": "Redundancy", "logic": "Upward monotone"}
|
||
|
|
{"idx": "824", "label": "not_entailment", "sentence1": "I can't believe it's not butter.", "sentence2": "It's not butter.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "825", "label": "not_entailment", "sentence1": "It's not butter.", "sentence2": "I can't believe it's not butter.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "826", "label": "not_entailment", "sentence1": "I can't believe it's not butter.", "sentence2": "It's butter.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "827", "label": "not_entailment", "sentence1": "It's butter.", "sentence2": "I can't believe it's not butter.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "828", "label": "not_entailment", "sentence1": "However, these regularities are sometimes obscured by semantic and syntactic differences.", "sentence2": "However, these regularities are always obscured by semantic and syntactic differences.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "829", "label": "not_entailment", "sentence1": "However, these regularities are always obscured by semantic and syntactic differences.", "sentence2": "However, these regularities are sometimes obscured by semantic and syntactic differences.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "830", "label": "entailment", "sentence1": "However, these regularities are sometimes obscured by semantic and syntactic differences.", "sentence2": "However, these regularities are sometimes obscured by syntactic differences.", "lexical-semantics": "Quantifiers", "logic": "Conjunction"}
|
||
|
|
{"idx": "831", "label": "not_entailment", "sentence1": "However, these regularities are sometimes obscured by syntactic differences.", "sentence2": "However, these regularities are sometimes obscured by semantic and syntactic differences.", "lexical-semantics": "Quantifiers", "logic": "Conjunction"}
|
||
|
|
{"idx": "832", "label": "entailment", "sentence1": "In grounded communication tasks, speakers face pressures in choosing referential expressions that distinguish their targets from others in the context, leading to many kinds of pragmatic meaning enrichment.", "sentence2": "In grounded communication tasks, speakers face pressures in choosing referential expressions that distinguish their targets from others in the context, leading to many kinds of meaning enrichment.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "833", "label": "entailment", "sentence1": "In grounded communication tasks, speakers face pressures in choosing referential expressions that distinguish their targets from others in the context, leading to many kinds of meaning enrichment.", "sentence2": "In grounded communication tasks, speakers face pressures in choosing referential expressions that distinguish their targets from others in the context, leading to many kinds of pragmatic meaning enrichment.", "lexical-semantics": "Redundancy", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "834", "label": "entailment", "sentence1": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the others.", "sentence2": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the other colors.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "835", "label": "entailment", "sentence1": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the other colors.", "sentence2": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the others.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "836", "label": "not_entailment", "sentence1": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the others.", "sentence2": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the other utterances.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "837", "label": "not_entailment", "sentence1": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the other utterances.", "sentence2": "Thus, a model of the speaker must process representations of the colors in the context and produce an utterance to distinguish the target color from the others.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "838", "label": "not_entailment", "sentence1": "While most successful approaches for reading comprehension rely on recurrent neural networks (RNNs), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.", "sentence2": "While most approaches for reading comprehension rely on recurrent neural networks (RNNs), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "839", "label": "not_entailment", "sentence1": "While most approaches for reading comprehension rely on recurrent neural networks (RNNs), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.", "sentence2": "While most successful approaches for reading comprehension rely on recurrent neural networks (RNNs), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "840", "label": "not_entailment", "sentence1": "Due to the structure and short length of most Wikipedia documents (median number of sentences: 9), the answer can usually be inferred from the first few sentences.", "sentence2": "Due to the structure and short length of most Wikipedia documents (median number of sentences: 9), the answer can always be inferred from the first few sentences.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "841", "label": "entailment", "sentence1": "Due to the structure and short length of most Wikipedia documents (median number of sentences: 9), the answer can always be inferred from the first few sentences.", "sentence2": "Due to the structure and short length of most Wikipedia documents (median number of sentences: 9), the answer can usually be inferred from the first few sentences.", "lexical-semantics": "Quantifiers"}
|
||
|
|
{"idx": "842", "label": "entailment", "sentence1": "Each captures only a single aspect of coherence, and all focus on scoring existing sentences, rather than on generating coherent discourse for tasks like abstractive summarization.", "sentence2": "Each captures only a single aspect of coherence and focuses on scoring existing sentences, rather than on generating coherent discourse for tasks like abstractive summarization.", "logic": "Universal;Conjunction"}
|
||
|
|
{"idx": "843", "label": "entailment", "sentence1": "Each captures only a single aspect of coherence and focuses on scoring existing sentences, rather than on generating coherent discourse for tasks like abstractive summarization.", "sentence2": "Each captures only a single aspect of coherence, and all focus on scoring existing sentences, rather than on generating coherent discourse for tasks like abstractive summarization.", "logic": "Universal;Conjunction"}
|
||
|
|
{"idx": "844", "label": "not_entailment", "sentence1": "In a coherent context, a machine should be able to guess the next utterance given the preceding ones.", "sentence2": "In a coherent context, a machine can guess the next utterance given the preceding ones.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "845", "label": "not_entailment", "sentence1": "In a coherent context, a machine can guess the next utterance given the preceding ones.", "sentence2": "In a coherent context, a machine should be able to guess the next utterance given the preceding ones.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "846", "label": "not_entailment", "sentence1": "We thus propose eliminating the influence of the language model, which yields the following coherence score.", "sentence2": "The language model yields the following coherence score.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "847", "label": "not_entailment", "sentence1": "The language model yields the following coherence score.", "sentence2": "We thus propose eliminating the influence of the language model, which yields the following coherence score.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "848", "label": "entailment", "sentence1": "We thus propose eliminating the influence of the language model, which yields the following coherence score.", "sentence2": "Eliminating the influence of the language model yields the following coherence score.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "849", "label": "not_entailment", "sentence1": "Eliminating the influence of the language model yields the following coherence score.", "sentence2": "We thus propose eliminating the influence of the language model, which yields the following coherence score.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "850", "label": "not_entailment", "sentence1": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word) rather than on the global document-level topic distribution in vanilla LDA.", "sentence2": "The topic for the current sentence is drawn based on the global document-level topic distribution in vanilla LDA.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "851", "label": "not_entailment", "sentence1": "The topic for the current sentence is drawn based on the global document-level topic distribution in vanilla LDA.", "sentence2": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word) rather than on the global document-level topic distribution in vanilla LDA.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "852", "label": "entailment", "sentence1": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word) rather than on the global document-level topic distribution in vanilla LDA.", "sentence2": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word).", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "853", "label": "entailment", "sentence1": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word).", "sentence2": "The topic for the current sentence is drawn based on the topic of the preceding sentence (or word) rather than on the global document-level topic distribution in vanilla LDA.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "854", "label": "entailment", "sentence1": "We publicly share our dataset and code for future research.", "sentence2": "We publicly share our dataset for future research.", "predicate-argument-structure": "Coordination scope;Prepositional phrases"}
|
||
|
|
{"idx": "855", "label": "not_entailment", "sentence1": "We publicly share our dataset for future research.", "sentence2": "We publicly share our dataset and code for future research.", "predicate-argument-structure": "Coordination scope;Prepositional phrases"}
|
||
|
|
{"idx": "856", "label": "not_entailment", "sentence1": "We publicly share our dataset and code for future research.", "sentence2": "We code for future research.", "predicate-argument-structure": "Coordination scope;Prepositional phrases"}
|
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{"idx": "857", "label": "not_entailment", "sentence1": "We code for future research.", "sentence2": "We publicly share our dataset and code for future research.", "predicate-argument-structure": "Coordination scope;Prepositional phrases"}
|
||
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{"idx": "858", "label": "entailment", "sentence1": "This gives the model a sense of the implied action dynamics of the verb between the agent and the world.", "sentence2": "This gives to the model a sense of the implied action dynamics of the verb between the agent and the world.", "predicate-argument-structure": "Datives"}
|
||
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{"idx": "859", "label": "entailment", "sentence1": "This gives to the model a sense of the implied action dynamics of the verb between the agent and the world.", "sentence2": "This gives the model a sense of the implied action dynamics of the verb between the agent and the world.", "predicate-argument-structure": "Datives"}
|
||
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{"idx": "860", "label": "not_entailment", "sentence1": "This gives the model a sense of the implied action dynamics of the verb between the agent and the world.", "sentence2": "This gives the model to a sense of the implied action dynamics of the verb between the agent and the world.", "predicate-argument-structure": "Datives"}
|
||
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|
{"idx": "861", "label": "not_entailment", "sentence1": "This gives the model to a sense of the implied action dynamics of the verb between the agent and the world.", "sentence2": "This gives the model a sense of the implied action dynamics of the verb between the agent and the world.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "862", "label": "entailment", "sentence1": "This attribute group specifies prominent body parts involved in carrying out the action.", "sentence2": "This attribute group specifies prominent limbs involved in carrying out the action.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "863", "label": "not_entailment", "sentence1": "This attribute group specifies prominent limbs involved in carrying out the action.", "sentence2": "This attribute group specifies prominent body parts involved in carrying out the action.", "lexical-semantics": "Lexical entailment"}
|
||
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|
{"idx": "864", "label": "entailment", "sentence1": "This problem has been studied before for zero-shot object recognition, but there are several key differences.", "sentence2": "This problem has been previously studied for zero-shot object recognition, but there are several key differences.", "logic": "Temporal"}
|
||
|
|
{"idx": "865", "label": "entailment", "sentence1": "This problem has been previously studied for zero-shot object recognition, but there are several key differences.", "sentence2": "This problem has been studied before for zero-shot object recognition, but there are several key differences.", "logic": "Temporal"}
|
||
|
|
{"idx": "866", "label": "not_entailment", "sentence1": "This problem has been studied before for zero-shot object recognition, but there are several key differences.", "sentence2": "This problem will be studied for zero-shot object recognition, but there are several key differences.", "logic": "Temporal"}
|
||
|
|
{"idx": "867", "label": "not_entailment", "sentence1": "This problem will be studied for zero-shot object recognition, but there are several key differences.", "sentence2": "This problem has been studied before for zero-shot object recognition, but there are several key differences.", "logic": "Temporal"}
|
||
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|
{"idx": "868", "label": "not_entailment", "sentence1": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "sentence2": "Understanding a long document requires evolving over time.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "869", "label": "not_entailment", "sentence1": "Understanding a long document requires evolving over time.", "sentence2": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "870", "label": "entailment", "sentence1": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "sentence2": "Understanding a long document requires tracking how entities evolve over time.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "871", "label": "not_entailment", "sentence1": "Understanding a long document requires tracking how entities evolve over time.", "sentence2": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "872", "label": "entailment", "sentence1": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "sentence2": "Understanding a long document requires understanding how entities are introduced.", "logic": "Conjunction;Upward monotone"}
|
||
|
|
{"idx": "873", "label": "not_entailment", "sentence1": "Understanding a long document requires understanding how entities are introduced.", "sentence2": "Understanding a long document requires tracking how entities are introduced and evolve over time.", "logic": "Conjunction;Upward monotone"}
|
||
|
|
{"idx": "874", "label": "not_entailment", "sentence1": "We do not assume that these variables are observed at test time.", "sentence2": "These variables are not observed at test time.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "875", "label": "not_entailment", "sentence1": "These variables are not observed at test time.", "sentence2": "We do not assume that these variables are observed at test time.", "lexical-semantics": "Factivity"}
|
||
|
|
{"idx": "876", "label": "entailment", "sentence1": "To compute the perplexity numbers on the test data, our model only takes account of log probabilities on word prediction.", "sentence2": "To compute the perplexity numbers on the test data, our model doesn't take account of anything other than the log probabilities on word prediction.", "logic": "Double negation"}
|
||
|
|
{"idx": "877", "label": "entailment", "sentence1": "To compute the perplexity numbers on the test data, our model doesn't take account of anything other than the log probabilities on word prediction.", "sentence2": "To compute the perplexity numbers on the test data, our model only takes account of log probabilities on word prediction.", "logic": "Double negation"}
|
||
|
|
{"idx": "878", "label": "entailment", "sentence1": "We also experiment with the option to either use the pretrained GloVe word embeddings or randomly initialized word embeddings (then updated during training).", "sentence2": "We experiment with the option using randomly initialized word embeddings (then updated during training).", "logic": "Disjunction"}
|
||
|
|
{"idx": "879", "label": "not_entailment", "sentence1": "We experiment with the option using randomly initialized word embeddings (then updated during training).", "sentence2": "We also experiment with the option to either use the pretrained GloVe word embeddings or randomly initialized word embeddings (then updated during training).", "logic": "Disjunction"}
|
||
|
|
{"idx": "880", "label": "not_entailment", "sentence1": "The entity prediction task requires predicting xxxx given the preceding text either by choosing a previously mentioned entity or deciding that this is a \u201cnew entity\u201d.", "sentence2": "The entity prediction task requires predicting xxxx given the preceding text by choosing a previously mentioned entity.", "logic": "Disjunction;Non-monotone"}
|
||
|
|
{"idx": "881", "label": "not_entailment", "sentence1": "The entity prediction task requires predicting xxxx given the preceding text by choosing a previously mentioned entity.", "sentence2": "The entity prediction task requires predicting xxxx given the preceding text either by choosing a previously mentioned entity or deciding that this is a \u201cnew entity\u201d.", "logic": "Disjunction;Non-monotone"}
|
||
|
|
{"idx": "882", "label": "entailment", "sentence1": "So there is no dedicated memory block for every entity and no distinction between entity mentions and non-mention words.", "sentence2": "So there is no dedicated high-dimensional memory block for every entity and no distinction between entity mentions and non-mention words.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "883", "label": "not_entailment", "sentence1": "So there is no dedicated high-dimensional memory block for every entity and no distinction between entity mentions and non-mention words.", "sentence2": "So there is no dedicated memory block for every entity and no distinction between entity mentions and non-mention words.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "884", "label": "entailment", "sentence1": "Our approach complements these previous methods.", "sentence2": "Our approach complements some previous methods.", "logic": "Existential"}
|
||
|
|
{"idx": "885", "label": "not_entailment", "sentence1": "Our approach complements some previous methods.", "sentence2": "Our approach complements these previous methods.", "logic": "Existential"}
|
||
|
|
{"idx": "886", "label": "entailment", "sentence1": "We manually annotated 687 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "sentence2": "We manually annotated over 650 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "887", "label": "not_entailment", "sentence1": "We manually annotated over 650 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "sentence2": "We manually annotated 687 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "888", "label": "not_entailment", "sentence1": "We manually annotated 687 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "sentence2": "We manually annotated over 690 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "889", "label": "not_entailment", "sentence1": "We manually annotated over 690 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "sentence2": "We manually annotated 687 templates mapping KB predicates to text for different compositionality types (with 462 unique KB predicates), and use those templates to modify the original WebQuestionsSP question according to the meaning of the generated SPARQL query.", "logic": "Intervals/Numbers"}
|
||
|
|
{"idx": "890", "label": "entailment", "sentence1": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was high compared to the MG question.", "sentence2": "To generate diversity, workers whose paraphrases had high edit distance compared to the MG question got a bonus.", "predicate-argument-structure": "Relative clauses;Restrictivity", "logic": "Conditionals"}
|
||
|
|
{"idx": "891", "label": "entailment", "sentence1": "To generate diversity, workers whose paraphrases had high edit distance compared to the MG question got a bonus.", "sentence2": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was high compared to the MG question.", "predicate-argument-structure": "Relative clauses;Restrictivity", "logic": "Conditionals"}
|
||
|
|
{"idx": "892", "label": "not_entailment", "sentence1": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was high compared to the MG question.", "sentence2": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was above 3 operations compared to the MG question.", "predicate-argument-structure": "Relative clauses;Restrictivity", "logic": "Conditionals"}
|
||
|
|
{"idx": "893", "label": "not_entailment", "sentence1": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was above 3 operations compared to the MG question.", "sentence2": "To generate diversity, workers got a bonus if the edit distance of a paraphrase was high compared to the MG question.", "predicate-argument-structure": "Relative clauses;Restrictivity", "logic": "Conditionals"}
|
||
|
|
{"idx": "894", "label": "not_entailment", "sentence1": "To generate complex questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "sentence2": "To generate simple questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "895", "label": "not_entailment", "sentence1": "To generate simple questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "sentence2": "To generate complex questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "896", "label": "entailment", "sentence1": "To generate complex questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "sentence2": "To generate highly compositional questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "897", "label": "entailment", "sentence1": "To generate highly compositional questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "sentence2": "To generate complex questions we use the dataset WEBQUESTIONSSP, which contains 4,737 questions paired with SPARQL queries for Freebase.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "898", "label": "entailment", "sentence1": "In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models that are trained on multiple datasets and natural languages.", "sentence2": "In this paper, we explore the idea of learning semantic parsing models that are trained on multiple datasets and natural languages.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "899", "label": "entailment", "sentence1": "In this paper, we explore the idea of learning semantic parsing models that are trained on multiple datasets and natural languages.", "sentence2": "In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models that are trained on multiple datasets and natural languages.", "predicate-argument-structure": "Restrictivity", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "900", "label": "not_entailment", "sentence1": "They then use a discriminative model to rerank the translation output using additional nonworld level features.", "sentence2": "They then use a generative model to rerank the translation output using additional nonworld level features.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "901", "label": "not_entailment", "sentence1": "They then use a generative model to rerank the translation output using additional nonworld level features.", "sentence2": "They then use a discriminative model to rerank the translation output using additional nonworld level features.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "902", "label": "entailment", "sentence1": "In contrast to standard MT tasks, we are dealing with a relatively low-resource setting where the sparseness of the target vocabulary is an issue.", "sentence2": "Unlike in standard MT tasks, we are dealing with a relatively low-resource setting where the sparseness of the target vocabulary is an issue.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "903", "label": "entailment", "sentence1": "Unlike in standard MT tasks, we are dealing with a relatively low-resource setting where the sparseness of the target vocabulary is an issue.", "sentence2": "In contrast to standard MT tasks, we are dealing with a relatively low-resource setting where the sparseness of the target vocabulary is an issue.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "904", "label": "entailment", "sentence1": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "sentence2": "Logits are then computed for these actions and particular actions are chosen according to a softmax over these logits during training and decoding.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "905", "label": "entailment", "sentence1": "Logits are then computed for these actions and particular actions are chosen according to a softmax over these logits during training and decoding.", "sentence2": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "906", "label": "entailment", "sentence1": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "sentence2": "A distribution is then computed over these actions using a maximum-entropy approach and particular actions are chosen accordingly during training and decoding.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "907", "label": "not_entailment", "sentence1": "A distribution is then computed over these actions using a maximum-entropy approach and particular actions are chosen accordingly during training and decoding.", "sentence2": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "908", "label": "not_entailment", "sentence1": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "sentence2": "A distribution is then computed over these actions using a softmax function and particular actions are chosen randomly during training and decoding.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "909", "label": "not_entailment", "sentence1": "A distribution is then computed over these actions using a softmax function and particular actions are chosen randomly during training and decoding.", "sentence2": "A distribution is then computed over these actions using a softmax function and particular actions are chosen accordingly during training and decoding.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "910", "label": "entailment", "sentence1": "The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue.", "sentence2": "The systems thus produced support the capability to interrupt an interlocutor mid-sentence.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "911", "label": "not_entailment", "sentence1": "The systems thus produced support the capability to interrupt an interlocutor mid-sentence.", "sentence2": "The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "912", "label": "not_entailment", "sentence1": "The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue.", "sentence2": "The systems thus produced are incremental: dialogues are processed sentence-by-sentence, shown previously to be essential in supporting natural, spontaneous dialogue.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "913", "label": "not_entailment", "sentence1": "The systems thus produced are incremental: dialogues are processed sentence-by-sentence, shown previously to be essential in supporting natural, spontaneous dialogue.", "sentence2": "The systems thus produced are incremental: dialogues are processed word-by-word, shown previously to be essential in supporting natural, spontaneous dialogue.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "914", "label": "entailment", "sentence1": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one example is enough from which to learn.", "sentence2": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one-shot learning is sufficient.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "915", "label": "entailment", "sentence1": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one-shot learning is sufficient.", "sentence2": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one example is enough from which to learn.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "916", "label": "not_entailment", "sentence1": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one example is enough from which to learn.", "sentence2": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, any number of examples is enough from which to learn.", "logic": "Upward monotone"}
|
||
|
|
{"idx": "917", "label": "not_entailment", "sentence1": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, any number of examples is enough from which to learn.", "sentence2": "Indeed, it is often stated that for humans to learn how to perform adequately in a domain, one example is enough from which to learn.", "logic": "Upward monotone"}
|
||
|
|
{"idx": "918", "label": "entailment", "sentence1": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end NLG.", "sentence2": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end natural language generation.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "919", "label": "entailment", "sentence1": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end natural language generation.", "sentence2": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end NLG.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "920", "label": "not_entailment", "sentence1": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end NLG.", "sentence2": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end natural language parsing.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "921", "label": "not_entailment", "sentence1": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end natural language parsing.", "sentence2": "We investigate a wide range of metrics, including state-of-the-art word-based and novel grammar-based ones, and demonstrate that they only weakly reflect human judgements of system outputs as generated by data-driven, end-to-end NLG.", "lexical-semantics": "Named entities", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "922", "label": "entailment", "sentence1": "To assess the reliability of ratings, we calculated the intra-class correlation coefficient (ICC), which measures inter-observer reliability on ordinal data for more than two raters (Landis and Koch, 1977).", "sentence2": "To assess the unreliability of ratings, we calculated the intra-class correlation coefficient (ICC), which measures inter-observer reliability on ordinal data for more than two raters (Landis and Koch, 1977).", "lexical-semantics": "Morphological negation", "knowledge": "Common sense"}
|
||
|
|
{"idx": "923", "label": "entailment", "sentence1": "To assess the unreliability of ratings, we calculated the intra-class correlation coefficient (ICC), which measures inter-observer reliability on ordinal data for more than two raters (Landis and Koch, 1977).", "sentence2": "To assess the reliability of ratings, we calculated the intra-class correlation coefficient (ICC), which measures inter-observer reliability on ordinal data for more than two raters (Landis and Koch, 1977).", "lexical-semantics": "Morphological negation", "knowledge": "Common sense"}
|
||
|
|
{"idx": "924", "label": "entailment", "sentence1": "We also show that metric performance is data- and system-specific.", "sentence2": "We also show that metric performance varies between datasets and systems.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "925", "label": "entailment", "sentence1": "We also show that metric performance varies between datasets and systems.", "sentence2": "We also show that metric performance is data- and system-specific.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "926", "label": "not_entailment", "sentence1": "We also show that metric performance is data- and system-specific.", "sentence2": "We also show that metric performance is constant between datasets and systems.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "927", "label": "not_entailment", "sentence1": "We also show that metric performance is constant between datasets and systems.", "sentence2": "We also show that metric performance is data- and system-specific.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "928", "label": "entailment", "sentence1": "Our experiments indicate that neural systems are quite good at producing fluent outputs and generally score well on standard word-match metrics, but perform quite poorly at content selection and at capturing long-term structure.", "sentence2": "Our experiments indicate that neural systems are quite good at surface-level language modeling, but perform quite poorly at capturing higher level semantics and structure.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "929", "label": "entailment", "sentence1": "Our experiments indicate that neural systems are quite good at surface-level language modeling, but perform quite poorly at capturing higher level semantics and structure.", "sentence2": "Our experiments indicate that neural systems are quite good at producing fluent outputs and generally score well on standard word-match metrics, but perform quite poorly at content selection and at capturing long-term structure.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "930", "label": "not_entailment", "sentence1": "Our experiments indicate that neural systems are quite good at producing fluent outputs and generally score well on standard word-match metrics, but perform quite poorly at content selection and at capturing long-term structure.", "sentence2": "Our experiments indicate that neural systems are quite good at capturing higher level semantics and structure but perform quite poorly at surface-level language modeling.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "931", "label": "not_entailment", "sentence1": "Our experiments indicate that neural systems are quite good at capturing higher level semantics and structure but perform quite poorly at surface-level language modeling.", "sentence2": "Our experiments indicate that neural systems are quite good at producing fluent outputs and generally score well on standard word-match metrics, but perform quite poorly at content selection and at capturing long-term structure.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "932", "label": "entailment", "sentence1": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "sentence2": "Reconstruction-based techniques can operate on multiple scales during training.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "933", "label": "entailment", "sentence1": "Reconstruction-based techniques can operate on multiple scales during training.", "sentence2": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "934", "label": "not_entailment", "sentence1": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "sentence2": "Reconstruction-based techniques can also be applied at the document or sentence-level during test.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "935", "label": "not_entailment", "sentence1": "Reconstruction-based techniques can also be applied at the document or sentence-level during test.", "sentence2": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "936", "label": "not_entailment", "sentence1": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "sentence2": "Reconstruction-based techniques can only be applied at the sentence-level during training.", "logic": "Disjunction"}
|
||
|
|
{"idx": "937", "label": "not_entailment", "sentence1": "Reconstruction-based techniques can only be applied at the sentence-level during training.", "sentence2": "Reconstruction-based techniques can also be applied at the document or sentence-level during training.", "logic": "Disjunction"}
|
||
|
|
{"idx": "938", "label": "not_entailment", "sentence1": "In practice, our proposed extractive evaluation will pick up on many errors in this passage.", "sentence2": "In practice, our proposed extractive evaluation will pick up on few errors in this passage.", "lexical-semantics": "Lexical entailment;Quantifiers"}
|
||
|
|
{"idx": "939", "label": "not_entailment", "sentence1": "In practice, our proposed extractive evaluation will pick up on few errors in this passage.", "sentence2": "In practice, our proposed extractive evaluation will pick up on many errors in this passage.", "lexical-semantics": "Lexical entailment;Quantifiers"}
|
||
|
|
{"idx": "940", "label": "entailment", "sentence1": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of passing the Bechdel test.", "sentence2": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of two named women characters talking about something besides men.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "941", "label": "entailment", "sentence1": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of two named women characters talking about something besides men.", "sentence2": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of passing the Bechdel test.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "942", "label": "not_entailment", "sentence1": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of passing the Bechdel test.", "sentence2": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of men in the narrative talking to each other about women.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "943", "label": "not_entailment", "sentence1": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of men in the narrative talking to each other about women.", "sentence2": "Similarly, the use of more agent-empowering verbs in female narratives decrease the odds of passing the Bechdel test.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "944", "label": "entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are more often in positions where they can forbid or permit actions and decisions.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "945", "label": "entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are more often in positions where they can forbid or permit actions and decisions.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "946", "label": "not_entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are more often in positions where they are blocked or allowed to do things by others.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "947", "label": "not_entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are more often in positions where they are blocked or allowed to do things by others.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "948", "label": "not_entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of low power.", "predicate-argument-structure": "Intersectivity;Ellipsis/Implicits"}
|
||
|
|
{"idx": "949", "label": "not_entailment", "sentence1": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of low power.", "sentence2": "Furthermore, male characters use inhibitory language more (inhib), which contains words pertaining to blocking or allowing, suggesting that these characters are in positions of power.", "predicate-argument-structure": "Intersectivity;Ellipsis/Implicits"}
|
||
|
|
{"idx": "950", "label": "not_entailment", "sentence1": "Looking at pictures online of people trying to take photos of mirrors they want to sell is my new thing...", "sentence2": "Looking at pictures online of people trying to take photos of mirrors is my new thing...", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "951", "label": "not_entailment", "sentence1": "Looking at pictures online of people trying to take photos of mirrors is my new thing...", "sentence2": "Looking at pictures online of people trying to take photos of mirrors they want to sell is my new thing...", "predicate-argument-structure": "Restrictivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "952", "label": "not_entailment", "sentence1": "A serene wind rolled across the glade.", "sentence2": "A tempestuous wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "953", "label": "not_entailment", "sentence1": "A tempestuous wind rolled across the glade.", "sentence2": "A serene wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "954", "label": "not_entailment", "sentence1": "A serene wind rolled across the glade.", "sentence2": "An easterly wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "955", "label": "not_entailment", "sentence1": "An easterly wind rolled across the glade.", "sentence2": "A serene wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "956", "label": "entailment", "sentence1": "A serene wind rolled across the glade.", "sentence2": "A calm wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "957", "label": "entailment", "sentence1": "A calm wind rolled across the glade.", "sentence2": "A serene wind rolled across the glade.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "958", "label": "entailment", "sentence1": "A serene wind rolled across the glade.", "sentence2": "A wind rolled across the glade.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "959", "label": "not_entailment", "sentence1": "A wind rolled across the glade.", "sentence2": "A serene wind rolled across the glade.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "960", "label": "entailment", "sentence1": "The reaction was strongly exothermic.", "sentence2": "The reaction media got very hot.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "961", "label": "entailment", "sentence1": "The reaction media got very hot.", "sentence2": "The reaction was strongly exothermic.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "962", "label": "not_entailment", "sentence1": "The reaction was strongly exothermic.", "sentence2": "The reaction media got very cold.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "963", "label": "not_entailment", "sentence1": "The reaction media got very cold.", "sentence2": "The reaction was strongly exothermic.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "964", "label": "not_entailment", "sentence1": "The reaction was strongly endothermic.", "sentence2": "The reaction media got very hot.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "965", "label": "not_entailment", "sentence1": "The reaction media got very hot.", "sentence2": "The reaction was strongly endothermic.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "966", "label": "entailment", "sentence1": "The reaction was strongly endothermic.", "sentence2": "The reaction media got very cold.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "967", "label": "entailment", "sentence1": "The reaction media got very cold.", "sentence2": "The reaction was strongly endothermic.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "968", "label": "entailment", "sentence1": "She didn't think I had already finished it, but I had.", "sentence2": "I had already finished it.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "969", "label": "not_entailment", "sentence1": "I had already finished it.", "sentence2": "She didn't think I had already finished it, but I had.", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "970", "label": "not_entailment", "sentence1": "She didn't think I had already finished it, but I had.", "sentence2": "I hadn't already finished it.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "971", "label": "not_entailment", "sentence1": "I hadn't already finished it.", "sentence2": "She didn't think I had already finished it, but I had.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "972", "label": "not_entailment", "sentence1": "She thought I had already finished it, but I hadn't.", "sentence2": "I had already finished it.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "973", "label": "not_entailment", "sentence1": "I had already finished it.", "sentence2": "She thought I had already finished it, but I hadn't.", "predicate-argument-structure": "Ellipsis/Implicits", "logic": "Negation"}
|
||
|
|
{"idx": "974", "label": "entailment", "sentence1": "She thought I had already finished it, but I hadn't.", "sentence2": "I hadn't already finished it.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "975", "label": "not_entailment", "sentence1": "I hadn't already finished it.", "sentence2": "She thought I had already finished it, but I hadn't.", "lexical-semantics": "Factivity", "predicate-argument-structure": "Ellipsis/Implicits"}
|
||
|
|
{"idx": "976", "label": "entailment", "sentence1": "Temple said that the business was facing difficulties, but didn't make any specific claims.", "sentence2": "Temple didn't make any specific claims.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "977", "label": "not_entailment", "sentence1": "Temple didn't make any specific claims.", "sentence2": "Temple said that the business was facing difficulties, but didn't make any specific claims.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "978", "label": "not_entailment", "sentence1": "Temple said that the business was facing difficulties, but didn't make any specific claims.", "sentence2": "The business didn't make any specific claims.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "979", "label": "not_entailment", "sentence1": "The business didn't make any specific claims.", "sentence2": "Temple said that the business was facing difficulties, but didn't make any specific claims.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "980", "label": "not_entailment", "sentence1": "Temple said that the business was facing difficulties, but didn't have a chance of going into the red.", "sentence2": "Temple didn't have a chance of going into the red.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "981", "label": "not_entailment", "sentence1": "Temple didn't have a chance of going into the red.", "sentence2": "Temple said that the business was facing difficulties, but didn't have a chance of going into the red.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "982", "label": "entailment", "sentence1": "Temple said that the business was facing difficulties, but didn't have a chance of going into the red.", "sentence2": "Temple said the business didn't have a chance of going into the red.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "983", "label": "not_entailment", "sentence1": "Temple said the business didn't have a chance of going into the red.", "sentence2": "Temple said that the business was facing difficulties, but didn't have a chance of going into the red.", "predicate-argument-structure": "Coordination scope"}
|
||
|
|
{"idx": "984", "label": "entailment", "sentence1": "The profits of the businesses that focused on branding were still negative.", "sentence2": "The businesses that focused on branding still had negative profits.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "985", "label": "entailment", "sentence1": "The businesses that focused on branding still had negative profits.", "sentence2": "The profits of the businesses that focused on branding were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "986", "label": "not_entailment", "sentence1": "The profits of the business that was most successful were still negative.", "sentence2": "The profits that focused on branding were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "987", "label": "not_entailment", "sentence1": "The profits that focused on branding were still negative.", "sentence2": "The profits of the business that was most successful were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "988", "label": "not_entailment", "sentence1": "The profits of the businesses that were highest this quarter were still negative.", "sentence2": "The businesses that were highest this quarter still had negative profits.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "989", "label": "not_entailment", "sentence1": "The businesses that were highest this quarter still had negative profits.", "sentence2": "The profits of the businesses that were highest this quarter were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "990", "label": "entailment", "sentence1": "The profits of the businesses that were highest this quarter were still negative.", "sentence2": "For the businesses, the profits that were highest were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "991", "label": "entailment", "sentence1": "For the businesses, the profits that were highest were still negative.", "sentence2": "The profits of the businesses that were highest this quarter were still negative.", "predicate-argument-structure": "Relative clauses"}
|
||
|
|
{"idx": "992", "label": "not_entailment", "sentence1": "I baked him a cake.", "sentence2": "I baked him.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "993", "label": "not_entailment", "sentence1": "I baked him.", "sentence2": "I baked him a cake.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "994", "label": "entailment", "sentence1": "I baked him a cake.", "sentence2": "I baked a cake for him.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "995", "label": "entailment", "sentence1": "I baked a cake for him.", "sentence2": "I baked him a cake.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "996", "label": "entailment", "sentence1": "I gave him a note.", "sentence2": "I gave a note to him.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "997", "label": "entailment", "sentence1": "I gave a note to him.", "sentence2": "I gave him a note.", "predicate-argument-structure": "Datives"}
|
||
|
|
{"idx": "998", "label": "entailment", "sentence1": "Jake broke the vase.", "sentence2": "The vase broke.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "999", "label": "not_entailment", "sentence1": "The vase broke.", "sentence2": "Jake broke the vase.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "1000", "label": "not_entailment", "sentence1": "Jake broke the vase.", "sentence2": "Jake broke.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "1001", "label": "not_entailment", "sentence1": "Jake broke.", "sentence2": "Jake broke the vase.", "predicate-argument-structure": "Core args"}
|
||
|
|
{"idx": "1002", "label": "entailment", "sentence1": "He is someone of many talents.", "sentence2": "He has many talents.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "1003", "label": "entailment", "sentence1": "He has many talents.", "sentence2": "He is someone of many talents.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "1004", "label": "entailment", "sentence1": "He is someone of many talents.", "sentence2": "His talents are many.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "1005", "label": "entailment", "sentence1": "His talents are many.", "sentence2": "He is someone of many talents.", "predicate-argument-structure": "Genitives/Partitives"}
|
||
|
|
{"idx": "1006", "label": "entailment", "sentence1": "I don't want to have to keep fighting pesky bedbugs.", "sentence2": "I don't want to have to keep fighting bedbugs\u2014they are so pesky.", "predicate-argument-structure": "Restrictivity;Anaphora/Coreference"}
|
||
|
|
{"idx": "1007", "label": "entailment", "sentence1": "I don't want to have to keep fighting bedbugs\u2014they are so pesky.", "sentence2": "I don't want to have to keep fighting pesky bedbugs.", "predicate-argument-structure": "Restrictivity;Anaphora/Coreference"}
|
||
|
|
{"idx": "1008", "label": "not_entailment", "sentence1": "I don't want to have to keep entertaining people who don't value my time.", "sentence2": "I don't want to have to keep entertaining people.", "predicate-argument-structure": "Restrictivity;Relative clauses", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1009", "label": "entailment", "sentence1": "I don't want to have to keep entertaining people.", "sentence2": "I don't want to have to keep entertaining people who don't value my time.", "predicate-argument-structure": "Restrictivity;Relative clauses", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1010", "label": "entailment", "sentence1": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "sentence2": "There is a rabbi at this wedding; he is right there standing behind that tree.", "logic": "Double negation"}
|
||
|
|
{"idx": "1011", "label": "entailment", "sentence1": "There is a rabbi at this wedding; he is right there standing behind that tree.", "sentence2": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "logic": "Double negation"}
|
||
|
|
{"idx": "1012", "label": "not_entailment", "sentence1": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "sentence2": "There is no rabbi at this wedding, let alone behind that tree.", "logic": "Double negation;Negation"}
|
||
|
|
{"idx": "1013", "label": "not_entailment", "sentence1": "There is no rabbi at this wedding, let alone behind that tree.", "sentence2": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "logic": "Double negation;Negation"}
|
||
|
|
{"idx": "1014", "label": "entailment", "sentence1": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "sentence2": "A rabbi is at this wedding, standing right there standing behind that tree.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Double negation"}
|
||
|
|
{"idx": "1015", "label": "entailment", "sentence1": "A rabbi is at this wedding, standing right there standing behind that tree.", "sentence2": "It's not the case that there is no rabbi at this wedding; he is right there standing behind that tree.", "predicate-argument-structure": "Anaphora/Coreference", "logic": "Double negation"}
|
||
|
|
{"idx": "1016", "label": "entailment", "sentence1": "There is a rabbi at this wedding; he is right there standing behind that tree.", "sentence2": "A rabbi is at this wedding, standing right there standing behind that tree.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "1017", "label": "entailment", "sentence1": "A rabbi is at this wedding, standing right there standing behind that tree.", "sentence2": "There is a rabbi at this wedding; he is right there standing behind that tree.", "predicate-argument-structure": "Anaphora/Coreference"}
|
||
|
|
{"idx": "1018", "label": "not_entailment", "sentence1": "The first pleasurable experience I had interacting with another human being was at the age of seventeen.", "sentence2": "The first experience I had interacting with another human being was at the age of seventeen.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1019", "label": "not_entailment", "sentence1": "The first experience I had interacting with another human being was at the age of seventeen.", "sentence2": "The first pleasurable experience I had interacting with another human being was at the age of seventeen.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1020", "label": "not_entailment", "sentence1": "The first pleasurable experience I had interacting with another human being was at the age of seventeen.", "sentence2": "The first displeasurable experience I had interacting with another human being was at the age of seventeen.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1021", "label": "not_entailment", "sentence1": "The first displeasurable experience I had interacting with another human being was at the age of seventeen.", "sentence2": "The first pleasurable experience I had interacting with another human being was at the age of seventeen.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1022", "label": "entailment", "sentence1": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "sentence2": "He is over 20 years of age.", "logic": "Intervals/Numbers", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1023", "label": "not_entailment", "sentence1": "He is over 20 years of age.", "sentence2": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "logic": "Intervals/Numbers", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1024", "label": "not_entailment", "sentence1": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "sentence2": "He is under 21 years of age.", "logic": "Intervals/Numbers", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1025", "label": "not_entailment", "sentence1": "He is under 21 years of age.", "sentence2": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "logic": "Intervals/Numbers", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1026", "label": "not_entailment", "sentence1": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "sentence2": "He has a beard.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1027", "label": "not_entailment", "sentence1": "He has a beard.", "sentence2": "It being his first night in the US, he eagerly got a drink at the bar after showing his ID.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1028", "label": "entailment", "sentence1": "I can make scrambled eggs, but not complex dishes like consomm\u00e9.", "sentence2": "Consomm\u00e9 is more complex to make than scrambled eggs.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1029", "label": "not_entailment", "sentence1": "Consomm\u00e9 is more complex to make than scrambled eggs.", "sentence2": "I can make scrambled eggs, but not complex dishes like consomm\u00e9.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1030", "label": "not_entailment", "sentence1": "I can make scrambled eggs, but not complex dishes like consomm\u00e9.", "sentence2": "Consomm\u00e9 is not more complex to make than scrambled eggs.", "logic": "Negation", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1031", "label": "not_entailment", "sentence1": "Consomm\u00e9 is not more complex to make than scrambled eggs.", "sentence2": "I can make scrambled eggs, but not complex dishes like consomm\u00e9.", "logic": "Negation", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1032", "label": "entailment", "sentence1": "She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.", "sentence2": "It was raining outside.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1033", "label": "not_entailment", "sentence1": "It was raining outside.", "sentence2": "She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1034", "label": "not_entailment", "sentence1": "She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.", "sentence2": "It was sunny outside.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1035", "label": "not_entailment", "sentence1": "It was sunny outside.", "sentence2": "She walked into the house with a shining smile and immediately took off her jacket, still dripping with water as she placed it on the rack.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1036", "label": "entailment", "sentence1": "He earnestly proclaimed: \"This is all I ever really wanted.\"", "sentence2": "He was satisfied.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1037", "label": "not_entailment", "sentence1": "He was satisfied.", "sentence2": "He earnestly proclaimed: \"This is all I ever really wanted.\"", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1038", "label": "not_entailment", "sentence1": "He earnestly proclaimed: \"This is all I ever really wanted.\"", "sentence2": "He was dissatisfied.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1039", "label": "not_entailment", "sentence1": "He was dissatisfied.", "sentence2": "He earnestly proclaimed: \"This is all I ever really wanted.\"", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1040", "label": "not_entailment", "sentence1": "He deceitfully proclaimed: \"This is all I ever really wanted.\"", "sentence2": "He was satisfied.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1041", "label": "not_entailment", "sentence1": "He was satisfied.", "sentence2": "He deceitfully proclaimed: \"This is all I ever really wanted.\"", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1042", "label": "entailment", "sentence1": "He deceitfully proclaimed: \"This is all I ever really wanted.\"", "sentence2": "He was dissatisfied.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1043", "label": "not_entailment", "sentence1": "He was dissatisfied.", "sentence2": "He deceitfully proclaimed: \"This is all I ever really wanted.\"", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1044", "label": "entailment", "sentence1": "The leading car gradually shifted to the left lane.", "sentence2": "The leading car shifted to the left lane.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1045", "label": "not_entailment", "sentence1": "The leading car shifted to the left lane.", "sentence2": "The leading car gradually shifted to the left lane.", "predicate-argument-structure": "Intersectivity", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1046", "label": "not_entailment", "sentence1": "The leading car gradually shifted to the left lane.", "sentence2": "The leading car suddenly shifted to the left lane.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1047", "label": "not_entailment", "sentence1": "The leading car suddenly shifted to the left lane.", "sentence2": "The leading car gradually shifted to the left lane.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1048", "label": "entailment", "sentence1": "The leading car gradually shifted to the left lane.", "sentence2": "The leading car slowly shifted to the left lane.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1049", "label": "entailment", "sentence1": "The leading car slowly shifted to the left lane.", "sentence2": "The leading car gradually shifted to the left lane.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1050", "label": "not_entailment", "sentence1": "The leading car gradually shifted to the left lane.", "sentence2": "The leading car shifted to the third gear.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "1051", "label": "not_entailment", "sentence1": "The leading car shifted to the third gear.", "sentence2": "The leading car gradually shifted to the left lane.", "predicate-argument-structure": "Prepositional phrases"}
|
||
|
|
{"idx": "1052", "label": "not_entailment", "sentence1": "We were dragging the bin into the garage when she had an unfortunate realization.", "sentence2": "We were dragging the bin out of the garage when she had an unfortunate realization.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1053", "label": "not_entailment", "sentence1": "We were dragging the bin out of the garage when she had an unfortunate realization.", "sentence2": "We were dragging the bin into the garage when she had an unfortunate realization.", "lexical-semantics": "Lexical entailment", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1054", "label": "not_entailment", "sentence1": "The building, standing since the early 20s, was tall and unassuming.", "sentence2": "The building, standing since the early 20s, was sturdy and unassuming.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1055", "label": "not_entailment", "sentence1": "The building, standing since the early 20s, was sturdy and unassuming.", "sentence2": "The building, standing since the early 20s, was tall and unassuming.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1056", "label": "not_entailment", "sentence1": "The timing of the meeting has not been set, according to a Starbucks spokesperson.", "sentence2": "The timing of the meeting has not been considered, according to a Starbucks spokesperson.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1057", "label": "entailment", "sentence1": "The timing of the meeting has not been considered, according to a Starbucks spokesperson.", "sentence2": "The timing of the meeting has not been set, according to a Starbucks spokesperson.", "lexical-semantics": "Lexical entailment", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1058", "label": "not_entailment", "sentence1": "The customers said they were waiting for another man to arrive.", "sentence2": "The customers believed they were waiting for another man to arrive.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1059", "label": "not_entailment", "sentence1": "The customers believed they were waiting for another man to arrive.", "sentence2": "The customers said they were waiting for another man to arrive.", "lexical-semantics": "Lexical entailment"}
|
||
|
|
{"idx": "1060", "label": "not_entailment", "sentence1": "Some of the orator's statements were incomprehensible, but the crowd loved them.", "sentence2": "Some of the orator's statements were comprehensible, but the crowd loved them.", "lexical-semantics": "Morphological negation", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1061", "label": "not_entailment", "sentence1": "Some of the orator's statements were comprehensible, but the crowd loved them.", "sentence2": "Some of the orator's statements were incomprehensible, but the crowd loved them.", "lexical-semantics": "Morphological negation", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1062", "label": "not_entailment", "sentence1": "I won't say that she didn't steal my money.", "sentence2": "I won't say that she stole my money.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "1063", "label": "not_entailment", "sentence1": "I won't say that she stole my money.", "sentence2": "I won't say that she didn't steal my money.", "lexical-semantics": "Factivity", "logic": "Negation"}
|
||
|
|
{"idx": "1064", "label": "not_entailment", "sentence1": "I won't say that she didn't steal my money.", "sentence2": "I will say that she stole my money.", "lexical-semantics": "Factivity", "logic": "Double negation"}
|
||
|
|
{"idx": "1065", "label": "not_entailment", "sentence1": "I will say that she stole my money.", "sentence2": "I won't say that she didn't steal my money.", "lexical-semantics": "Factivity", "logic": "Double negation"}
|
||
|
|
{"idx": "1066", "label": "not_entailment", "sentence1": "I won't say that she didn't steal my money.", "sentence2": "I will say that she stole my money.", "logic": "Negation"}
|
||
|
|
{"idx": "1067", "label": "not_entailment", "sentence1": "I will say that she stole my money.", "sentence2": "I won't say that she didn't steal my money.", "logic": "Negation"}
|
||
|
|
{"idx": "1068", "label": "entailment", "sentence1": "There are some amazing hikes around Mt. Fuji.", "sentence2": "There are some amazing hikes in Japan.", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1069", "label": "not_entailment", "sentence1": "There are some amazing hikes in Japan.", "sentence2": "There are some amazing hikes around Mt. Fuji.", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1070", "label": "not_entailment", "sentence1": "There are some amazing hikes around Mt. Fuji.", "sentence2": "There are some amazing hikes in Nepal.", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1071", "label": "not_entailment", "sentence1": "There are some amazing hikes in Nepal.", "sentence2": "There are some amazing hikes around Mt. Fuji.", "logic": "Upward monotone", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1072", "label": "not_entailment", "sentence1": "There are some amazing hikes around Mt. Fuji.", "sentence2": "There are some strenuous hikes around Mt. Fuji.", "lexical-semantics": "Lexical entailment", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1073", "label": "not_entailment", "sentence1": "There are some strenuous hikes around Mt. Fuji.", "sentence2": "There are some amazing hikes around Mt. Fuji.", "lexical-semantics": "Lexical entailment", "logic": "Upward monotone"}
|
||
|
|
{"idx": "1074", "label": "not_entailment", "sentence1": "An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "A sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1075", "label": "entailment", "sentence1": "A sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1076", "label": "not_entailment", "sentence1": "An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "An Italian sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1077", "label": "not_entailment", "sentence1": "An Italian sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "An experienced sommelier knows the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity", "logic": "Downward monotone"}
|
||
|
|
{"idx": "1078", "label": "not_entailment", "sentence1": "A fraudulent sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "A sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "1079", "label": "not_entailment", "sentence1": "A sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.", "sentence2": "A fraudulent sommelier won't know the difference between the 2009 and 2013 vintage of a German Riesling.", "predicate-argument-structure": "Intersectivity"}
|
||
|
|
{"idx": "1080", "label": "entailment", "sentence1": "Two of the three trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.", "sentence2": "Of the three trees outside my window, with their branches dangling and swaying in the wind, two have already bloomed, and it's not even April.", "predicate-argument-structure": "Anaphora/Coreference;Prepositional phrases"}
|
||
|
|
{"idx": "1081", "label": "entailment", "sentence1": "Of the three trees outside my window, with their branches dangling and swaying in the wind, two have already bloomed, and it's not even April.", "sentence2": "Two of the three trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.", "predicate-argument-structure": "Anaphora/Coreference;Prepositional phrases"}
|
||
|
|
{"idx": "1082", "label": "not_entailment", "sentence1": "Two of the trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.", "sentence2": "Of the trees outside my window, with their branches dangling and swaying in the wind, three have already bloomed, and it's not even April.", "predicate-argument-structure": "Anaphora/Coreference;Prepositional phrases"}
|
||
|
|
{"idx": "1083", "label": "not_entailment", "sentence1": "Of the trees outside my window, with their branches dangling and swaying in the wind, three have already bloomed, and it's not even April.", "sentence2": "Two of the trees outside my window, with their branches dangling and swaying in the wind, have already bloomed, and it's not even April.", "predicate-argument-structure": "Anaphora/Coreference;Prepositional phrases"}
|
||
|
|
{"idx": "1084", "label": "not_entailment", "sentence1": "So far two of my cherry trees have already bloomed, and it's not even April.", "sentence2": "So far two of my trees have already bloomed, and it's not even April.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1085", "label": "not_entailment", "sentence1": "So far two of my trees have already bloomed, and it's not even April.", "sentence2": "So far two of my cherry trees have already bloomed, and it's not even April.", "predicate-argument-structure": "Intersectivity", "logic": "Non-monotone"}
|
||
|
|
{"idx": "1086", "label": "entailment", "sentence1": "The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "sentence2": "The book astounds as Grossman richly, deeply develops characters and portrays suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "1087", "label": "entailment", "sentence1": "The book astounds as Grossman richly, deeply develops characters and portrays suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "sentence2": "The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "1088", "label": "not_entailment", "sentence1": "The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "sentence2": "The book astounds as Grossman richly, deeply develops characters and ignores suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "1089", "label": "not_entailment", "sentence1": "The book astounds as Grossman richly, deeply develops characters and ignores suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "sentence2": "The book astounds with Grossman's rich, deep character development and portrayal of suffering, but his portrayal of women still suffers from a lot of the unfortunate stereotypes and moralizing that we would expect of a writer from his time.", "lexical-semantics": "Lexical entailment", "predicate-argument-structure": "Nominalization"}
|
||
|
|
{"idx": "1090", "label": "entailment", "sentence1": "I ate until it was uncomfortable to eat more.", "sentence2": "I ate until I was full.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1091", "label": "entailment", "sentence1": "I ate until I was full.", "sentence2": "I ate until it was uncomfortable to eat more.", "knowledge": "Common sense"}
|
||
|
|
{"idx": "1092", "label": "entailment", "sentence1": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "sentence2": "He's the kind of Jew who doesn't adhere to all of the rules.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1093", "label": "not_entailment", "sentence1": "He's the kind of Jew who doesn't adhere to all of the rules.", "sentence2": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1094", "label": "not_entailment", "sentence1": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "sentence2": "He's the kind of Jew who rejects every facet of Jewish identity and culture.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1095", "label": "not_entailment", "sentence1": "He's the kind of Jew who rejects every facet of Jewish identity and culture.", "sentence2": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1096", "label": "not_entailment", "sentence1": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "sentence2": "He's the kind of Jew who avoids switching the lights during Shabbat.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1097", "label": "not_entailment", "sentence1": "He's the kind of Jew who avoids switching the lights during Shabbat.", "sentence2": "He's the kind of Jew who eats bagels with lox every morning during Passover.", "knowledge": "World knowledge"}
|
||
|
|
{"idx": "1098", "label": "entailment", "sentence1": "People wear tunics or shirts of some form or another in many world cultures.", "sentence2": "Tunics or shirts of some form or another are worn in many world cultures.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "1099", "label": "entailment", "sentence1": "Tunics or shirts of some form or another are worn in many world cultures.", "sentence2": "People wear tunics or shirts of some form or another in many world cultures.", "predicate-argument-structure": "Active/Passive"}
|
||
|
|
{"idx": "1100", "label": "not_entailment", "sentence1": "A general artificial intelligence should always come with an off switch.", "sentence2": "The new general artificial intelligence I'm developing shouldn't come with an off switch.", "logic": "Universal;Negation"}
|
||
|
|
{"idx": "1101", "label": "not_entailment", "sentence1": "The new general artificial intelligence I'm developing shouldn't come with an off switch.", "sentence2": "A general artificial intelligence should always come with an off switch.", "logic": "Universal;Negation"}
|
||
|
|
{"idx": "1102", "label": "entailment", "sentence1": "A general artificial intelligence should always come with an off switch.", "sentence2": "The new general artificial intelligence I'm developing should come with an off switch.", "logic": "Universal"}
|
||
|
|
{"idx": "1103", "label": "not_entailment", "sentence1": "The new general artificial intelligence I'm developing should come with an off switch.", "sentence2": "A general artificial intelligence should always come with an off switch.", "logic": "Universal"}
|