task_categories:text-classification size_categories:1K<n<10K language:fa license:apache-2.0 arxiv:2009.08820 region:us
\\\\\\\A Persian Natural Language Inference Dataset
\@article{amirkhani2020farstail,
  title={FarsTail: A Persian Natural Language Inference Dataset},
  author={Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, and Zeinab Kouhkan},
  journal={arXiv preprint arXiv:2009.08820},
  year={2020}
}
---
license: apache-2.0
task_categories:
- text-classification
language:
- fa
size_categories:
- 1K<n<10K
---

## Dataset Description

- **Repository:https://github.com/dml-qom/FarsTail** 
- **Paper:https://arxiv.org/abs/2009.08820** 

### Dataset Summary

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

### Licensing Information

[More Information Needed]

### Citation Information

```
@article{amirkhani2020farstail,
  title={FarsTail: A Persian Natural Language Inference Dataset},
  author={Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, and Zeinab Kouhkan},
  journal={arXiv preprint arXiv:2009.08820},
  year={2020}
}
```