license: cc-by-nc-sa-4.0
language:
- en
Dataset Card for IMDb Movie Dataset: All Movies by Genre
Dataset Description
- Homepage: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This dataset is an adapted version of "IMDb Movie Dataset: All Movies by Genre" found at: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv. Within the dataset, the movie title and year columns were combined, the genre was extracted from the seperate csv files, the pre-existing genre column was renamed to expanded-genres, any movies missing a description (i.e. the description was written as "Add a plot") were dropped from the original data, the rating column was left the same, and finally the rest of the remaining columns were dropped. The columns in the data are: "movie title - year", "genre", "expanded-genres", "rating", and "description"
Supported Tasks and Leaderboards
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Languages
Language data is English.
Dataset Structure
Data Instances
imdb_genres = 300388 entries
- The dataset that was split into training/test/validation datasets.
- Total amount of disk used: 68.0 MB
training = 240310 entries
- Total amount of disk used: 54.4 MB
test = 30039 entries
- Total amount of disk used: 6.8 MB
validation = 30039 entries
- Total amount of disk used: 6.8 MB
An example of an entries looks as follows:
{
"movie title - year" : "Die Hard - 1988",
"genre" : "Action",
"expanded-genres" : "Action, Thriller",
"rating" : 8.2,
"description" : "A New York City police officer tries to save his estranged wife and several others taken hostage by terrorists during a Christmas party at the Nakatomi Plaza in Los Angeles."
}
Data Fields
The data fields are the same among all splits.
Fields are as follows:
- "movie title - year": a string feature.
- "genre": a string classification label, with the possible values: 'Adventure', 'Action', 'Thriller', 'Romance', 'Crime', 'Fantasy', 'Mystery', 'Horror', 'War', 'Family', 'Animation', 'Scifi', 'Sports', 'History', 'Biography', and 'Film-noir'.
- "expanded-genres" : a string feature.
- "rating" : a floating point value, ranging from 0.0 to 10.0.
- "description" : a string feature.
Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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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
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Contributions
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