README.md

---
dataset_info:
  features:
  - name: q_no
    dtype: string
  - name: q_concept
    dtype: string
  - name: q_text
    dtype: string
  - name: q_op1
    dtype: string
  - name: q_op2
    dtype: string
  - name: q_op3
    dtype: string
  - name: q_op4
    dtype: string
  - name: q_op5
    dtype: string
  - name: q_ans
    dtype: string
  - name: taskA_pos
    dtype: string
  - name: taskA_neg
    dtype: string
  - name: taskB
    dtype: string
  splits:
  - name: train
    num_bytes: 6458760
    num_examples: 7598
  - name: validation
    num_bytes: 924269
    num_examples: 1090
  - name: test
    num_bytes: 1846056
    num_examples: 2194
  download_size: 5678604
  dataset_size: 9229085
license: cdla-sharing-1.0
task_categories:
- question-answering
language:
- en
---
# Dataset Card for "ecqa"

https://github.com/dair-iitd/ECQA-Dataset
```
@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)}",
  year = "2021",
  address = "Online",
  publisher = "Association for Computational Linguistics"
}
```