Datasets:
hellaswag

Languages: en

Dataset Card for "hellaswag"

Dataset Summary

Supported Tasks and Leaderboards

More Information Needed

Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

  • Size of downloaded dataset files: 68.18 MB
  • Size of the generated dataset: 62.29 MB
  • Total amount of disk used: 130.47 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: 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.

Data Splits

name train validation test
default 39905 10042 10003

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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.

Models trained or fine-tuned on hellaswag