code: def load_jester():
      
  
      dataset_path = _load('jester')
  
      X = _load_csv(dataset_path, 'data')
      y = X.pop('rating').values
  
      return Dataset(load_jester.__doc__, X, y, r2_score)
docs: Ratings from the Jester Online Joke Recommender System.
  
      This dataset consists of over 1.7 million instances of (user_id, item_id, rating)
      triples, which is split 50-50 into train and test data.
  
      source: "University of California Berkeley, CA"
      sourceURI: "http://eigentaste.berkeley.edu/dataset/"