Datasets › Genre2Movies

Genre2Movies (Compositional queries for Movie recommendation)

Introduced by Shib Dasgupta et al. in Answering Compositional Queries with Set-Theoretic Embeddings7 Jun 2023 archive 2025-07-28

Genre annotations for movies The file genre2movies.csv contains genre-movie tuples based on Wikidata annotations (https://www.wikidata.org/).

Data Each line in genre2movies.csv represents one genre-movie tuple. The first entry is the genre. The second entry of each line is the movie name. There are 83,670 genre-movie tuples. Joining with the Movielens 20M dataset

The movies considered are from the Movielens 20M corpus: https://grouplens.org/datasets/movielens/20m/ The movie names in genre2movies.csv match the movie 'titles' in Movielens 20M.

Compositions The directory "compositions" contains movies assigned to compositions of genres. The compositions are of the form: "genre A and genre B", "genre A and not genre B", "genre A and genre B and genre C", "genre A and genre B and not genre C". These assignments have been automatically generated from genre2movies.csv. We try to generate genre-compositions that are useful, e.g., for a "genre A and genre B" composition we ensure that genre B is not a subgenre of genre A, because an interesection of a superset with a subset is identical to the subset and does not form a new concept.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution 4.0 International License.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Genre2Movies

1 variant name, as the archive lists them.

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