Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
File size: 1,405 Bytes
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---
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"
}
``` |