task_categories:text-classification task_categories:feature-extraction size_categories:10K<n<100K language:id license:cc-by-sa-4.0 super_glue text similarity region:us
---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: passage
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 4300375
    num_examples: 9427
  download_size: 2503993
  dataset_size: 4300375
license: cc-by-sa-4.0
task_categories:
- text-classification
- feature-extraction
language:
- id
tags:
- super_glue
- text similarity
size_categories:
- 10K<n<100K
---
# Dataset Card for "boolq-id"

This dataset is a translated version of qnli dataset from [super_glue](https://huggingface.co/datasets/super_glue) dataset.

# Citing & Authors

```
@inproceedings{clark2019boolq,
  title={BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions},
  author={Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina},
  booktitle={NAACL},
  year={2019}
}
@article{wang2019superglue,
  title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
  author={Wang, Alex and Pruksachatkun, Yada and Nangia, Nikita and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R},
  journal={arXiv preprint arXiv:1905.00537},
  year={2019}
}
```