README.md

metadata

language:
  - en
paperswithcode_id: cornell-movie-dialogs-corpus
pretty_name: Cornell Movie-Dialogs Corpus
dataset_info:
  features:
    - name: movieID
      dtype: string
    - name: movieTitle
      dtype: string
    - name: movieYear
      dtype: string
    - name: movieIMDBRating
      dtype: string
    - name: movieNoIMDBVotes
      dtype: string
    - name: movieGenres
      sequence: string
    - name: characterID1
      dtype: string
    - name: characterID2
      dtype: string
    - name: characterName1
      dtype: string
    - name: characterName2
      dtype: string
    - name: utterance
      sequence:
        - name: text
          dtype: string
        - name: LineID
          dtype: string
  splits:
    - name: train
      num_bytes: 19548840
      num_examples: 83097
  download_size: 9916637
  dataset_size: 19548840

Dataset Card for "cornell_movie_dialog"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 9.92 MB
• Size of the generated dataset: 19.55 MB
• Total amount of disk used: 29.46 MB

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 and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 9.92 MB
• Size of the generated dataset: 19.55 MB
• Total amount of disk used: 29.46 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

name	train
default	83097

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{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}

}

Contributions

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