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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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--- |
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# Dataset Card for IMDb Movie Dataset: All Movies by Genre |
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## Dataset Description |
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- **Homepage:** https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv |
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- **Repository:** |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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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. |
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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. |
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The columns in the data are: "movie title - year", "genre", "expanded-genres", "rating", and "description" |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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Language data is English. |
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## Dataset Structure |
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### Data Instances |
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**imdb_genres** = 300388 entries |
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- The dataset that was split into training/test/validation datasets. |
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- Total amount of disk used: 68.0 MB |
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**training** = 240310 entries |
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- Total amount of disk used: 54.4 MB |
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**test** = 30039 entries |
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- Total amount of disk used: 6.8 MB |
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**validation** = 30039 entries |
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- Total amount of disk used: 6.8 MB |
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An example of an entries looks as follows: |
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``` |
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{ |
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"movie title - year" : "Die Hard - 1988", |
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"genre" : "Action", |
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"expanded-genres" : "Action, Thriller", |
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"rating" : 8.2, |
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"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." |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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Fields are as follows: |
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- "movie title - year": a string feature. |
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- "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'. |
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- "expanded-genres" : a string feature. |
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- "rating" : a floating point value, ranging from 0.0 to 10.0. |
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- "description" : a string feature. |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
