download_imdb_plots.py

import pandas as pd
import json

!wget http://www.cs.cmu.edu/~ark/personas/data/MovieSummaries.tar.gz
!tar -xvzf MovieSummaries.tar.gz

plots_df = pd.read_csv('MovieSummaries/plot_summaries.txt', sep='\t', header=None)
meta_df = pd.read_csv('MovieSummaries/movie.metadata.tsv', sep='\t', header=None)

plot = {}
metadata = {}
movie_data = {}

for movie_id, movie_plot in plots_df.values:
  plot[movie_id] = movie_plot 

for movie_id, movie_name, movie_genre in meta_df[[0,2,8]].values:
  genre = list(json.loads(movie_genre).values())
  if len(genre):
    metadata[movie_id] = {"name": movie_name,
                          "genre": genre}
    
for movie_id in set(plot.keys())&set(metadata.keys()):
  movie_data[metadata[movie_id]['name']] = {"genre": metadata[movie_id]['genre'],
                                            "plot": plot[movie_id]}
  
X, Y, names = [], [], []

for movie_name, movie_meta in movie_data.items():
  X.append(movie_meta['plot'])
  Y.append(movie_meta['genre'])
  names.append(movie_name)

X = bert_vectorizer(X, verbose=True)