
AdapterHub/bert-base-uncased-pf-hellaswag
Updated
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Status code: 400 Exception: ClientPayloadError Message: 400, message='Can not decode content-encoding: gzip'
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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"
}
The data fields are the same among all splits.
ind
: a int32
feature.activity_label
: a string
feature.ctx_a
: a string
feature.ctx_b
: a string
feature.ctx
: a string
feature.endings
: a list
of string
features.source_id
: a string
feature.split
: a string
feature.split_type
: a string
feature.label
: a string
feature.name | train | validation | test |
---|---|---|---|
default | 39905 | 10042 | 10003 |
MIT https://github.com/rowanz/hellaswag/blob/master/LICENSE
@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}
}
Thanks to @albertvillanova, @mariamabarham, @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.