Dataset: cornell_movie_dialog


Dataset Card for "cornell_movie_dialog"

Table of Contents

Dataset Description

Dataset Summary

This corpus contains a large metadata-rich collection of fictional conversations extracted from raw movie scripts:

  • 220,579 conversational exchanges between 10,292 pairs of movie characters
  • involves 9,035 characters from 617 movies
  • in total 304,713 utterances
  • movie metadata included:
    • genres
    • release year
    • IMDB rating
    • number of IMDB votes
    • IMDB rating
  • character metadata included:
    • gender (for 3,774 characters)
    • position on movie credits (3,321 characters)

Supported Tasks

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: 9.46 MB
  • Size of the generated dataset: 18.64 MB
  • Total amount of disk used: 28.10 MB

An example of 'train' looks as follows.

{
    "characterID1": "u0 ",
    "characterID2": " u2 ",
    "characterName1": " m0 ",
    "characterName2": " m0 ",
    "movieGenres": ["comedy", "romance"],
    "movieID": " m0 ",
    "movieIMDBRating": " 6.90 ",
    "movieNoIMDBVotes": " 62847 ",
    "movieTitle": " f ",
    "movieYear": " 1999 ",
    "utterance": {
        "LineID": ["L1"],
        "text": ["L1 "]
    }
}

Data Fields

The data fields are the same among all splits.

default

  • movieID: a string feature.
  • movieTitle: a string feature.
  • movieYear: a string feature.
  • movieIMDBRating: a string feature.
  • movieNoIMDBVotes: a string feature.
  • movieGenres: a list of string features.
  • characterID1: a string feature.
  • characterID2: a string feature.
  • characterName1: a string feature.
  • characterName2: a string feature.
  • utterance: a dictionary feature containing:
    • text: a string feature.
    • LineID: a string feature.

Data Splits Sample Size

name train
default 83097

Dataset Creation

Curation Rationale

More Information Needed

Source Data

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Annotations

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Personal and Sensitive Information

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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{Danescu-Niculescu-Mizil+Lee:11a,

  author={Cristian Danescu-Niculescu-Mizil and Lillian Lee},

  title={Chameleons in imagined conversations:
  A new approach to understanding coordination of linguistic style in dialogs.},

  booktitle={Proceedings of the

        Workshop on Cognitive Modeling and Computational Linguistics, ACL 2011},

  year={2011}

}

Models trained or fine-tuned on cornell_movie_dialog

None yet