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


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Dataset Structure

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

Data Instances


  • 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.


  • 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

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Source Data

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information


  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},



Models trained or fine-tuned on cornell_movie_dialog

None yet