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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 sts-sohu2021 |
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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. |
