jamescalam commited on
Commit
7728e0a
1 Parent(s): f6028a6
Files changed (1) hide show
  1. movielens-recent-ratings.py +3 -3
movielens-recent-ratings.py CHANGED
@@ -73,13 +73,13 @@ class MovieLens(datasets.GeneratorBasedBuilder):
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  df["user_id"] = df["userId"].map(lambda x: mapping[x])
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  # add "tt" prefix to align with IMDB URL IDs
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  df["imdb_id"] = df["imdbId"].apply(lambda x: "tt" + str(x))
 
 
 
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  # we also don't need all columns
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  df = df[
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  ["imdb_id", "movie_id", "user_id", "rating", "title"]
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  ]
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- # now add the movie posters
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- posters = datasets.load_dataset("pinecone/movie-posters", split='train').to_pandas()
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- df = df.merge(posters, left_on='imdb_id', right_on='imdbId')
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  # save
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  df.to_json(new_url+"/ratings.jsonl", orient="records", lines=True)
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  df["user_id"] = df["userId"].map(lambda x: mapping[x])
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  # add "tt" prefix to align with IMDB URL IDs
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  df["imdb_id"] = df["imdbId"].apply(lambda x: "tt" + str(x))
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+ # now add the movie posters
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+ posters = datasets.load_dataset("pinecone/movie-posters", split='train').to_pandas()
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+ df = df.merge(posters, left_on='imdb_id', right_on='imdbId')
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  # we also don't need all columns
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  df = df[
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  ["imdb_id", "movie_id", "user_id", "rating", "title"]
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  ]
 
 
 
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  # save
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  df.to_json(new_url+"/ratings.jsonl", orient="records", lines=True)
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