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Datasets:
event2Mind

Languages: en
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Source (string)Event (string)Xintent (string)Xemotion (string)Otheremotion (string)Xsent (string)Osent (string)
it_events
It starts to rainy
["none"]
["none"]
["upset"]
3
it_events
It starts to rainy
["none"]
["none"]
["sad, gloomy"]
1
it_events
It starts to rainy
["none"]
["none"]
["wet", "gloomy"]
1
it_events
It is finally time
["none"]
["none"]
["excited"]
5
it_events
It is finally time
["none"]
["none"]
["relieved"]
5
it_events
It would be best
["none"]
["none"]
["rueful"]
2
it_events
It is a waste of time
["none"]
["none"]
["annoyed"]
1
it_events
It is a waste of time
["none"]
["none"]
["angry"]
2
it_events
It is a waste of time
["none"]
["none"]
["defeated"]
1
it_events
It is the best day ever
["none"]
["none"]
["happy", "pleased"]
5
it_events
It is the best day ever
["none"]
["none"]
["happy"]
5
it_events
It is the best day ever
["none"]
["none"]
["thrilled", "happy", "excited"]
5
it_events
It is PersonY 's first day of kindergarten
["none"]
["none"]
["excited", "eager", "interested"]
5
it_events
It is PersonY 's first day of kindergarten
["none"]
["none"]
["nervous"]
3
it_events
It does n't last long
["none"]
["none"]
["sad"]
2
it_events
It gets dark outside
["none"]
["none"]
["scared"]
2
it_events
It gets dark outside
["none"]
["none"]
["frightened", "gloomy", "scared"]
2
it_events
It gets dark outside
["none"]
["none"]
["nervous", "tired", "sad"]
2
it_events
It rains a lot
["none"]
["none"]
["sad"]
2
it_events
It rains a lot
["none"]
["none"]
["dejected"]
1
it_events
It rains a lot
["none"]
["none"]
["sad"]
2
it_events
It pours rain
["none"]
["none"]
["sad", "tired"]
1
it_events
It pours rain
["none"]
["none"]
["depressed"]
1
it_events
It pours rain
["none"]
["none"]
["wet"]
2
it_events
It pops open
["none"]
["none"]
["happy"]
5
it_events
It pops open
["none"]
["none"]
["surprised"]
4
it_events
It would probably
["none"]
["none"]
["hopeful"]
5
it_events
It has been raining for days
["none"]
["none"]
["depressed"]
2
it_events
It has been raining for days
["none"]
["none"]
["gloomy"]
2
it_events
It has been raining for days
["none"]
["none"]
["sad", "upset", "gloomy"]
1
it_events
It would often
["none"]
["none"]
["sad"]
2
it_events
It would be fine
["none"]
["none"]
["happy"]
5
it_events
It would be fine
["none"]
["none"]
["relieved", "happy"]
4
it_events
It times to leave
["none"]
["none"]
["excited"]
4
it_events
It times to leave
["none"]
["none"]
["accomplished", "finished"]
5
it_events
It is a nice day
["none"]
["none"]
["happy", "pleased"]
5
it_events
It is a nice day
["none"]
["none"]
["splendid", "happy"]
5
it_events
It is a nice day
["none"]
["none"]
["calm"]
4
it_events
It is time to leave
["none"]
["none"]
["sad"]
1
it_events
It is time to leave
["none"]
["none"]
["ready to go"]
3
it_events
It is time to leave
["none"]
["none"]
["tired", "impatient"]
2
it_events
It is hot outside
["none"]
["none"]
["sweaty"]
2
it_events
It is gone forever
["none"]
["none"]
["depressed"]
1
it_events
It hurts a lot
["none"]
["none"]
["pain"]
1
it_events
It soon realized
["none"]
["none"]
["interested"]
5
it_events
It takes all day
["none"]
["none"]
["annoyed"]
1
it_events
It falls open
["none"]
["none"]
["judgemental"]
3
it_events
It spends the afternoon
["none"]
["none"]
["trustworthy"]
5
it_events
It takes several hours
["none"]
["none"]
["impatient"]
1
it_events
It knows the difference
["none"]
["none"]
["discerning"]
4
it_events
It plays ___ anymore
["none"]
["none"]
["happy"]
5
it_events
It finds the source
["none"]
["none"]
["excited"]
5
it_events
It finds the source
["none"]
["none"]
["happy"]
4
it_events
It sees everyone
["none"]
["none"]
["ominous", "frightened"]
2
it_events
It goes down the drain
["none"]
["none"]
["upset"]
1
it_events
It goes down the drain
["none"]
["none"]
["disappointed", "frustrated"]
2
it_events
It goes down the drain
["none"]
["none"]
["disappointed"]
1
it_events
It is getting close
["none"]
["none"]
["worried"]
2
it_events
It is getting close
["none"]
["none"]
["excited"]
5
it_events
It is getting close
["none"]
["none"]
["excited", "nervous"]
4
it_events
It is hot outside
["none"]
["none"]
["dehydrated", "thirsty"]
1
it_events
It is hot outside
["none"]
["none"]
["annoyed"]
1
it_events
It always hated ___
["none"]
["none"]
["anger", "frustration"]
1
it_events
It always hated ___
["none"]
["none"]
["annoyed", "frustrated"]
2
it_events
It always hated ___
["none"]
["none"]
["displeasured", "unhappy", "disgusted"]
1
it_events
It is time to eat
["none"]
["none"]
["excited", "hungry"]
5
it_events
It is time to eat
["none"]
["none"]
["hungry"]
5
it_events
It is time to eat
["none"]
["none"]
["hungry", "excited"]
4
it_events
It thinks maybe
["none"]
["none"]
["contemplative"]
2
it_events
It does not go well
["none"]
["none"]
["anger", "embarassment"]
2
it_events
It does not go well
["none"]
["none"]
["disappointing"]
1
it_events
It does not go well
["none"]
["none"]
["disappointed"]
2
it_events
It finds the source
["none"]
["none"]
["satisfied"]
4
it_events
It is gone forever
["none"]
["none"]
["sad", "disappointed", "upset"]
1
it_events
It is gone forever
["none"]
["none"]
["absent", "departed", "sad"]
1
it_events
It falls open
["none"]
["none"]
["curious"]
4
it_events
It falls open
["none"]
["none"]
["surprised", "startled"]
2
it_events
It is an amazing experience
["none"]
["none"]
["happy", "joyful"]
5
it_events
It is an amazing experience
["none"]
["none"]
["excited"]
5
it_events
It is an amazing experience
["none"]
["none"]
["happy", "excited"]
5
it_events
It spends the afternoon
["none"]
["none"]
["tired"]
2
it_events
It shoulds go
["none"]
["none"]
["regretful"]
2
it_events
It hurts a lot
["none"]
["none"]
["pained", "miserable", "uncomfortable"]
1
it_events
It hurts a lot
["none"]
["none"]
["pain", "scared"]
1
it_events
It takes several hours
["none"]
["none"]
["exhausted"]
3
it_events
It takes several hours
["none"]
["none"]
["bored"]
2
it_events
It knows the difference
["none"]
["none"]
["guilt"]
1
it_events
It knows the difference
["none"]
["none"]
["educated"]
3
it_events
It plays ___ anymore
["none"]
["none"]
["satisfied"]
3
it_events
It makes contact
["none"]
["none"]
["successful"]
4
it_events
It makes contact
["none"]
["none"]
["engaged"]
4
it_events
It makes contact
["none"]
["none"]
["embarrassed", "excited"]
3
it_events
It soon realized
["none"]
["none"]
["enllightened"]
5
it_events
It soon realized
["none"]
["none"]
["shocked"]
3
it_events
It sees everyone
["none"]
["none"]
["surprised"]
4
it_events
It puts some cream
["none"]
["none"]
["excited", "happy"]
5
it_events
It puts some cream
["none"]
["none"]
["better"]
5
it_events
It takes all day
["none"]
["none"]
["miserable", "tired"]
1
it_events
It takes all day
["none"]
["none"]
["tired"]
1
it_events
It cries and cried
["none"]
["none"]
["sad, depresed"]
1
End of preview (truncated to 100 rows)

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: 1.24 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.

Update on GitHub
Papers with Code
Homepage:
uwnlp.github.io
Size of downloaded dataset files:
1.24 MB
Size of the generated dataset:
6.90 MB
Total amount of disk used:
8.14 MB

Models trained or fine-tuned on event2Mind