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Dataset Card for "hellaswag"
Dataset Summary
HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 71.49 MB
- Size of the generated dataset: 65.32 MB
- Total amount of disk used: 136.81 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"activity_label": "Removing ice from car",
"ctx": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles. then",
"ctx_a": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles.",
"ctx_b": "then",
"endings": "[\", the man adds wax to the windshield and cuts it.\", \", a person board a ski lift, while two men supporting the head of the per...",
"ind": 4,
"label": "3",
"source_id": "activitynet~v_-1IBHYS3L-Y",
"split": "train",
"split_type": "indomain"
}
Data Fields
The data fields are the same among all splits.
default
ind
: aint32
feature.activity_label
: astring
feature.ctx_a
: astring
feature.ctx_b
: astring
feature.ctx
: astring
feature.endings
: alist
ofstring
features.source_id
: astring
feature.split
: astring
feature.split_type
: astring
feature.label
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 39905 | 10042 | 10003 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
MIT https://github.com/rowanz/hellaswag/blob/master/LICENSE
Citation Information
@inproceedings{zellers2019hellaswag,
title={HellaSwag: Can a Machine Really Finish Your Sentence?},
author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
year={2019}
}
Contributions
Thanks to @albertvillanova, @mariamabarham, @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
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