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paperswithcode_id: event2mind

Dataset Card for "event2Mind"

Table of Contents

Dataset Description

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

More Information Needed

Languages

More Information Needed

Dataset Structure

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

Data Instances

default

  • Size of downloaded dataset files: 1.24 MB
  • Size of the generated dataset: 6.90 MB
  • Total amount of disk used: 8.14 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

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@inproceedings{event2Mind,
    title={Event2Mind: Commonsense Inference on Events, Intents, and Reactions},
    author={Hannah Rashkin and Maarten Sap and Emily Allaway and Noah A. Smith† Yejin Choi},
    year={2018}
}

Contributions

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