Omkar2118/datasets huggingface dataset:
ECQA
Full name: Explanations for CommonsenseQA

This repository contains the publicly released dataset, code, and models for the Explanations for CommonsenseQA paper presented at ACL-IJCNLP 2021. Directories ```data``` and  ```code``` inside the root folder contain dataset and code, respectively. The same [data](https://github.com/dair-iitd/ECQA-Dataset) and [code](https://github.com/dair-iitd/ECQA) are also made available through our AIHN collaboration partner institute IIT Delhi. You can download the full paper from [here](https://aclanthology.org/2021.acl-long.238/).

Note that these annotations are provided for the questions of the CommonsenseQA data ([https://www.tau-nlp.org/commonsenseqa](https://www.tau-nlp.org/commonsenseqa)): arXiv:1811.00937 [cs.CL] (or arXiv:1811.00937v2 [cs.CL] for this version).

### Citations
Please consider citing this paper as follows:
```
@inproceedings{aggarwaletal2021ecqa,
  title={{E}xplanations for {C}ommonsense{QA}: {N}ew {D}ataset and {M}odels},
  author={Shourya Aggarwal and Divyanshu Mandowara and Vishwajeet Agrawal and Dinesh Khandelwal and Parag Singla and Dinesh Garg},
  booktitle="Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)}",
  Pages = 3050–3065,
  year = "2021",
  publisher = "Association for Computational Linguistics"
}
```

Introducing paper: Explanations for CommonsenseQA: New Dataset and Models