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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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  ### Supported Tasks and Leaderboards
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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  ### Data Instances
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- [More Information Needed]
 
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- ### Data Fields
 
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- [More Information Needed]
 
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- ### Data Splits
 
 
 
 
 
 
 
 
 
 
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- [More Information Needed]
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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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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  ### 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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+ 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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+ "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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+ ### 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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