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---
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annotations_creators:
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- shibing624
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language_creators:
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- shibing624
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language:
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- zh
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license:
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- cc-by-4.0
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multilinguality:
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- zh
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size_categories:
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- 100K<n<20M
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source_datasets:
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- https://www.biendata.xyz/competition/sohu_2021/data/
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task_categories:
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- text-classification
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- Sentence-Similarity
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task_ids:
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- natural-language-inference
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- semantic-similarity-scoring
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- text-scoring
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paperswithcode_id: sts
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pretty_name: Sentence Text Similarity SOHU2021
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---
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# Dataset Card for NLI_zh
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## Dataset Description
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- **Repository:** [Chinese NLI dataset](https://github.com/shibing624/text2vec)
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- **Leaderboard:** [NLI_zh leaderboard](https://github.com/shibing624/text2vec) (located on the homepage)
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- **Size of downloaded dataset files:** 218 MB
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- **Total amount of disk used:** 218 MB
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### Dataset Summary
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2021搜狐校园文本匹配算法大赛数据集
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- 数据源:https://www.biendata.xyz/competition/sohu_2021/data/
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分为 A 和 B 两个文件,A 和 B 文件匹配标准不一样。其中 A 和 B 文件又分为“短短文本匹配”、“短长文本匹配”和“长长文本匹配”。
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A 文件匹配标准较为宽泛,两段文字是同一个话题便视为匹配,B 文件匹配标准较为严格,两段文字须是同一个事件才视为匹配。
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数据类型:
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| type | 数据类型 |
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| --- | ------------|
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| dda | 短短匹配 A 类 |
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| ddb | 短短匹配 B 类 |
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| dca | 短长匹配 A 类 |
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| dcb | 短长匹配 B 类 |
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| cca | 长长匹配 A 类 |
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| ccb | 长长匹配 B 类 |
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### Supported Tasks and Leaderboards
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Supported Tasks: 支持中文文本匹配任务,文本相似度计算等相关任务。
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中文匹配任务的结果目前在顶会paper上出现较少,我罗列一个我自己训练的结果:
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**Leaderboard:** [NLI_zh leaderboard](https://github.com/shibing624/text2vec)
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### Languages
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数据集均是简体中文文本。
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## Dataset Structure
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### Data Instances
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An example of 'train' looks as follows.
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```python
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# A 类 短短 样本示例
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{
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"sentence1": "小艺的故事让爱回家2021年2月16日大年初五19:30带上你最亲爱的人与团团君相约《小艺的故事》直播间!",
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"sentence2": "香港代购了不起啊,宋点卷竟然在直播间“炫富”起来",
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"label": 0
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}
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# B 类 短短 样本示例
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{
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"sentence1": "让很多网友好奇的是,张柏芝在一小时后也在社交平台发文:“给大家拜年啦。”还有网友猜测:谢霆锋的经纪人发文,张柏芝也发文,并且配图,似乎都在证实,谢霆锋依旧和王菲在一起,而张柏芝也有了新的恋人,并且生了孩子,两人也找到了各自的归宿,有了自己的幸福生活,让传言不攻自破。",
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"sentence2": "陈晓东谈旧爱张柏芝,一个口误暴露她的秘密,难怪谢霆锋会离开她",
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"label": 0
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}
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```
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label: 0表示不匹配,1表示匹配。
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### Data Fields
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The data fields are the same among all splits.
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- `sentence1`: a `string` feature.
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- `sentence2`: a `string` feature.
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- `label`: a classification label, with possible values including `similarity` (1), `dissimilarity` (0).
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### Data Splits
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```shell
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> wc -l *.jsonl
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11690 cca.jsonl
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11690 ccb.jsonl
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11592 dca.jsonl
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11593 dcb.jsonl
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11512 dda.jsonl
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11501 ddb.jsonl
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69578 total
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```
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### Curation Rationale
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作为中文NLI(natural langauge inference)数据集,这里把这个数据集上传到huggingface的datasets,方便大家使用。
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#### Who are the source language producers?
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数据集的版权归原作者所有,使用各数据集时请尊重原数据集的版权。
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#### Who are the annotators?
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原作者。
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### Social Impact of Dataset
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This dataset was developed as a benchmark for evaluating representational systems for text, especially including those induced by representation learning methods, in the task of predicting truth conditions in a given context.
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Systems that are successful at such a task may be more successful in modeling semantic representations.
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### Licensing Information
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用于学术研究。
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### Contributions
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[shibing624](https://github.com/shibing624) upload this dataset.
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