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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- fa |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Dataset Description |
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- **Repository:https://github.com/dml-qom/FarsTail** |
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- **Paper:https://arxiv.org/abs/2009.08820** |
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### Dataset Summary |
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Persian (Farsi) language is a pluricentric language spoken by around 110 million people in countries like Iran, Afghanistan, and Tajikistan. Here, we present the first relatively large-scale Persian dataset for NLI task, called FarsTail. A total of 10,367 samples are generated from a collection of 3,539 multiple-choice questions. The train, validation, and test portions include 7,266, 1,537, and 1,564 instances, respectively |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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```bibtex |
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@article{amirkhani2023farstail, |
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title={FarsTail: a Persian natural language inference dataset}, |
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author={Amirkhani, Hossein and AzariJafari, Mohammad and Faridan-Jahromi, Soroush and Kouhkan, Zeinab and Pourjafari, Zohreh and Amirak, Azadeh}, |
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journal={Soft Computing}, |
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year={2023}, |
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publisher={Springer}, |
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doi={10.1007/s00500-023-08959-3} |
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} |
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``` |
