39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
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---
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displayName: SAMSum Corpus
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labelTypes:
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- Classification
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license:
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- CC BY-NC-ND 4.0
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mediaTypes:
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- Text
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paperUrl: https://arxiv.org/pdf/1911.12237v2.pdf
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publishDate: "2019"
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publishUrl: https://github.com/huggingface/datasets/tree/master/datasets/samsum
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publisher:
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- Samsung R&D Institute Poland
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tags:
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- Text
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taskTypes:
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- Text Summarization/Simplication
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- Federated Learning
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- Abstractive Text Summarization
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---
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# 数据集介绍
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## 简介
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SAMSum 数据集包含大约 16k 个带有摘要的类似信使的对话。对话由精通英语的语言学家创建和记录。语言学家被要求创建类似于他们每天所写的对话，以反映他们现实生活中的信使对话的主题比例。风格和语域是多样化的——对话可以是非正式的、半正式的或正式的，它们可能包含俚语、表情符号和错别字。然后，用摘要对对话进行注释。假设摘要应该是人们在第三人称对话中所谈论内容的简明扼要。 SAMSum 数据集由波兰三星研发研究所准备并分发用于研究目的（非商业许可：CC BY-NC-ND 4.0）。
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## 引文
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```
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"@article{gliwa2019samsum,
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title={SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization},
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author={Gliwa, Bogdan and Mochol, Iwona and Biesek, Maciej and Wawer, Aleksander},
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journal={arXiv preprint arXiv:1911.12237},
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year={2019}
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}"
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```
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## Download dataset
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:modelscope-code[]{type="git"} |