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Datasets:
event2Mind

Tasks:
Text2Text Generation
Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: found
Annotations Creators: crowdsourced
Source Datasets: original
ArXiv:
Tags: common-sense-inference
License:
Dataset card Viewer Files Community
2
Dataset Viewer
Auto-converted to Parquet
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Source
stringclasses
5 values
Event
stringlengths
11
82
Xintent
stringlengths
6
200
Xemotion
stringlengths
6
224
Otheremotion
stringlengths
2
167
Xsent
stringclasses
6 values
Osent
stringclasses
6 values
it_events
It is PersonY's favorite color
["none"]
["none"]
["happy"]
4.0
it_events
It is PersonY's favorite color
["none"]
["none"]
["pleased"]
4.0
it_events
It is PersonY's favorite color
["none"]
["none"]
["happy", "pleased"]
5.0
it_events
It is a good thing
["none"]
["none"]
["happy", "satisfied"]
5.0
it_events
It is a good thing
["none"]
["none"]
["happy", "thrilled"]
5.0
it_events
It takes days
["none"]
["none"]
["impatient"]
2.0
it_events
It is hard work
["none"]
["none"]
["accomplished"]
5.0
it_events
It is hard work
["none"]
["none"]
["stressed"]
1.0
it_events
It cuts open
["none"]
["none"]
["pain"]
1.0
it_events
It cuts open
["none"]
["none"]
["disgusted"]
2.0
it_events
It is PersonX's favorite animal
["none"]
["none"]
["excited to see it", "happy", "lucky"]
4.0
it_events
It is PersonX's favorite animal
["none"]
["none"]
["happy", "excited"]
5.0
it_events
It is much harder
["none"]
["none"]
["defeated", "mad"]
1.0
it_events
It is much harder
["none"]
["none"]
["upset", "stressed"]
1.0
it_events
It is much harder
["none"]
["none"]
["frustrated", "like giving up"]
2.0
it_events
It pulls PersonX's car
["none"]
["none"]
["happy"]
4.0
it_events
It takes shape
["none"]
["none"]
["hopeful"]
4.0
it_events
It soaks wet
["none"]
["none"]
["cold", "unhappy"]
1.0
it_events
It soaks wet
["none"]
["none"]
["gloomy", "uncomfortable"]
1.0
it_events
It starts to rain
["none"]
["none"]
["gloomy", "tired"]
1.0
it_events
It starts to rain
["none"]
["none"]
["disappointed"]
1.0
it_events
It starts to rain
["none"]
["none"]
["gloomy", "sad"]
1.0
it_events
It takes shape
["none"]
["none"]
["accomplished"]
5.0
it_events
It needs one
["none"]
["none"]
["prepared"]
3.0
it_events
It is a snow day
["none"]
["none"]
["happy", "childlike", "nervous"]
4.0
it_events
It is a snow day
["none"]
["none"]
["happy", "excited", "joyful"]
5.0
it_events
It is a snow day
["none"]
["none"]
["cold"]
3.0
it_events
It is mother 's day
["none"]
["none"]
["honored"]
4.0
it_events
It is mother 's day
["none"]
["none"]
["happy"]
5.0
it_events
It is completely empty
["none"]
["none"]
["sad"]
2.0
it_events
It goes very well
["none"]
["none"]
["enthusiastic"]
5.0
it_events
It rains hard
["none"]
["none"]
["tired", "gloomy", "wet"]
1.0
it_events
It rains hard
["none"]
["none"]
["blue", "down"]
1.0
it_events
It rains hard
["none"]
["none"]
["scared", "worried"]
1.0
it_events
It is food poisoning
["none"]
["none"]
["terrified"]
1.0
it_events
It falls and broke
["none"]
["none"]
["upset", "sad", "disappointed"]
1.0
it_events
It is a warm day
["none"]
["none"]
["pleased", "content"]
4.0
it_events
It is a warm day
["none"]
["none"]
["comfortable"]
5.0
it_events
It is dark outside
["none"]
["none"]
["nervous", "scared"]
1.0
it_events
It is dark outside
["none"]
["none"]
["scared", "tired"]
2.0
it_events
It is getting long
["none"]
["none"]
["bored"]
2.0
it_events
It needs one
["none"]
["none"]
["needy", "unfulfilled", "annoyed"]
2.0
it_events
It finally get
["none"]
["none"]
["completed"]
4.0
it_events
It is christmas morning
["none"]
["none"]
["excited"]
4.0
it_events
It is christmas morning
["none"]
["none"]
["excited", "ecstatic"]
5.0
it_events
It is christmas morning
["none"]
["none"]
["excited", "happy", "cheerful"]
5.0
it_events
It is a pop quiz
["none"]
["none"]
["surprised"]
2.0
it_events
It is next week
["none"]
["none"]
["excited", "worried"]
3.0
it_events
It tastes right
["none"]
["none"]
["happy", "satisfied"]
4.0
it_events
It tastes right
["none"]
["none"]
["satisfied", "content", "nourished"]
4.0
it_events
It cuts short
["none"]
["none"]
["disappointed"]
1.0
it_events
It cuts short
["none"]
["none"]
["disappointed"]
2.0
it_events
It has ever tasted
["none"]
["none"]
["indifferent"]
3.0
it_events
It has ever tasted
["none"]
["none"]
["curious"]
2.0
it_events
It says yes
["none"]
["none"]
["happy"]
5.0
it_events
It begins to rain very hard
["none"]
["none"]
["sad", "surprised", "frustrated"]
2.0
it_events
It snows all night
["none"]
["none"]
["cold"]
3.0
it_events
It snows all night
["none"]
["none"]
["safe", "warm"]
5.0
it_events
It makes one
["none"]
["none"]
["finished"]
3.0
it_events
It begins to rain hard
["none"]
["none"]
["sad", "tired"]
1.0
it_events
It begins to rain hard
["none"]
["none"]
["gloomy"]
1.0
it_events
It begins to rain hard
["none"]
["none"]
["disappointed", "sad"]
2.0
it_events
It simply buy
["none"]
["none"]
["brave"]
4.0
it_events
It locks PersonX's keys
["none"]
["none"]
["angry", "sad", "worried"]
1.0
it_events
It locks PersonX's keys
["none"]
["none"]
["responsible"]
5.0
it_events
It is a cold day
["none"]
["none"]
["shivery", "gloomy"]
2.0
it_events
It is rated r
["none"]
["none"]
["intrigued", "skeptical"]
3.0
it_events
It is rated r
["none"]
["none"]
["scandalous"]
4.0
it_events
It is rated r
["none"]
["none"]
["excited", "intrigued"]
5.0
it_events
It begins to rain very hard
["none"]
["none"]
["sad", "gloomy"]
1.0
it_events
It begins to rain very hard
["none"]
["none"]
["gloomy", "bored", "frightened"]
1.0
it_events
It is time for lunch
["none"]
["none"]
["hungry", "eager"]
5.0
it_events
It is time for lunch
["none"]
["none"]
["hungry", "excited"]
3.0
it_events
It snows a lot
["none"]
["none"]
["worried"]
2.0
it_events
It snows a lot
["none"]
["none"]
["happy", "excited"]
5.0
it_events
It lasts a lifetime
["none"]
["none"]
["content"]
5.0
it_events
It lasts a lifetime
["none"]
["none"]
["impressed"]
5.0
it_events
It comes help
["none"]
["none"]
["relieved"]
5.0
it_events
It is much easier
["none"]
["none"]
["relieved", "amused"]
4.0
it_events
It is much easier
["none"]
["none"]
["happy"]
5.0
it_events
It lives together
["none"]
["none"]
["happy"]
5.0
it_events
It walks together
["none"]
["none"]
["social"]
5.0
it_events
It walks together
["none"]
["none"]
["thankful"]
5.0
it_events
It freezes shut
["none"]
["none"]
["scared", "surprised"]
1.0
it_events
It rains all week
["none"]
["none"]
["disappointed", "gloomy"]
1.0
it_events
It rains all week
["none"]
["none"]
["sad", "gloomy", "tired"]
1.0
it_events
It is a warm day
["none"]
["none"]
["content", "comfortable"]
5.0
it_events
It gets cloudy
["none"]
["none"]
["sad", "worried"]
1.0
it_events
It gets cloudy
["none"]
["none"]
["gloomy", "tired"]
2.0
it_events
It goes fine
["none"]
["none"]
["good", "relief"]
5.0
it_events
It goes fine
["none"]
["none"]
["relieved", "calm"]
4.0
it_events
It goes fine
["none"]
["none"]
["content", "satisfied"]
5.0
it_events
It knows anybody
["none"]
["none"]
["friendly"]
4.0
it_events
It rains today
["none"]
["none"]
["sad", "tired"]
1.0
it_events
It rains today
["none"]
["none"]
["gloomy"]
1.0
it_events
It starts raining
["none"]
["none"]
["gloomy", "tired"]
1.0
it_events
It starts raining
["none"]
["none"]
["relaxed"]
5.0
it_events
It starts raining
["none"]
["none"]
["depressed", "sad"]
1.0
it_events
It sends home
["none"]
["none"]
["panicked"]
1.0
it_events
It rains all day
["none"]
["none"]
["sad depressed"]
2.0
End of preview. Expand in Dataset Viewer.

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

More Information Needed

Languages

More Information Needed

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

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{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.

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Edit dataset card Papers with Code
Homepage:
uwnlp.github.io
Repository:
github.com
Paper:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
Point of Contact:
Maarten Sap
Size of downloaded dataset files:
1.3 MB
Size of the auto-converted Parquet files:
2.29 MB
Number of rows:
57,094

Models trained or fine-tuned on event2Mind