Dataset Card for "event2Mind"

Dataset Summary

In Event2Mind, we explore the task of understanding stereotypical intents and reactions to events. Through crowdsourcing, we create a large corpus with 25,000 events and free-form descriptions of their intents and reactions, both of the event's subject and (potentially implied) other participants.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 1.30 MB
• Size of the generated dataset: 7.24 MB
• Total amount of disk used: 8.54 MB

An example of 'validation' looks as follows.

{
    "Event": "It shrinks in the wash",
    "Osent": "1",
    "Otheremotion": "[\"upset\", \"angry\"]",
    "Source": "it_events",
    "Xemotion": "[\"none\"]",
    "Xintent": "[\"none\"]",
    "Xsent": ""
}

Data Fields

The data fields are the same among all splits.

default

• Source: a string feature.
• Event: a string feature.
• Xintent: a string feature.
• Xemotion: a string feature.
• Otheremotion: a string feature.
• Xsent: a string feature.
• Osent: a string feature.

Data Splits

name	train	validation	test
default	46472	5401	5221

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{rashkin-etal-2018-event2mind,
    title = "{E}vent2{M}ind: Commonsense Inference on Events, Intents, and Reactions",
    author = "Rashkin, Hannah  and
      Sap, Maarten  and
      Allaway, Emily  and
      Smith, Noah A.  and
      Choi, Yejin",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-1043",
    doi = "10.18653/v1/P18-1043",
    pages = "463--473",
}

Contributions

Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.