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About the data

We've brought here some initial data to get you started for convinience. Check out the originals in Kaggle if you like:

Our recommendation would be to keep an 'additional' and 'processed' folders here as well, but it'll be up to how you want to manage the dependency between groups.

Movie Dialog Corpus

This corpus comes from the paper, "Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs" by Cristian Danescu-Niculescu-Mizil and Lillian Lee.

The paper and up-to-date data can be found here: http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html

This corpus contains a 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)

Content

In all files the original field separator was " +++$+++ " and have been converted to tabs (\t). Additionally, the original file encoding was ISO-8859-2. It's possible that the field separator conversion and decoding may have left some artifacts.

  • 'movie_titles_metadata.txt' contains information about each movie title

    • movieID,
    • movie title,
    • movie year,
    • IMDB rating,
    • no. IMDB votes,
    • genres in the format ['genre1','genre2',É,'genreN']

  • 'movie_characters_metadata.txt' contains information about each movie character

    • characterID
    • character name
    • movieID
    • movie title
    • gender ("?" for unlabeled cases)
    • position in credits ("?" for unlabeled cases)

  • 'movie_lines.txt' contains the actual text of each utterance

    • lineID
    • characterID (who uttered this phrase)
    • movieID
    • character name
    • text of the utterance

  • movie_conversations.txt the structure of the conversations

    • characterID of the first character involved in the conversation
    • characterID of the second character involved in the conversation
    • movieID of the movie in which the conversation occurred
    • list of the utterances that make the conversation, in chronological order: ['lineID1','lineID2',É,'lineIDN'] has to be matched with movie_lines.txt to reconstruct the actual content

  • raw_script_urls.txt the urls from which the raw sources were retrieved

IMDB Movies Dataset

IMDB Dataset of top 1000 movies and tv shows.

Additionally you could also explore IMDb Non-commercial datasets. Free to use for academic purposes.

Content

  • Poster_Link: Link of the poster that imdb using
  • Series_Title: Name of the movie
  • Released_Year: Year at which that movie released
  • Certificate: Certificate earned by that movie
  • Runtime: Total runtime of the movie
  • Genre: Genre of the movie
  • IMDB_Rating: Rating of the movie at IMDB site
  • Overview: mini story/ summary
  • Meta_score: Score earned by the movie
  • Director: Name of the Director
  • Star1,Star2,Star3,Star4: Name of the Stars
  • No_of_votes: Total number of votes
  • Gross: Money earned by that movie