event2Mind / README.md
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Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
  - crowdsourced
  - en
  - found
  - unknown
  - monolingual
pretty_name: Event2Mind
  - 10K<n<100K
  - original
  - text2text-generation
task_ids: []
paperswithcode_id: event2mind
  - common-sense-inference
    - name: Source
      dtype: string
    - name: Event
      dtype: string
    - name: Xintent
      dtype: string
    - name: Xemotion
      dtype: string
    - name: Otheremotion
      dtype: string
    - name: Xsent
      dtype: string
    - name: Osent
      dtype: string
    - name: test
      num_bytes: 649273
      num_examples: 5221
    - name: train
      num_bytes: 5916384
      num_examples: 46472
    - name: validation
      num_bytes: 672365
      num_examples: 5401
  download_size: 1300770
  dataset_size: 7238022

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


More Information Needed

Dataset Structure

Data Instances


  • 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.


  • 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


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

    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",


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