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  1. Large Movie Review Dataset.

  2. A binary sentiment analysis dataset of 50,000 reviews from IMDb labeled as positive or negative. Find benchmarks, papers, code, results, and loaders for various tasks and models on this dataset.

  3. Explore and run machine learning code with Kaggle Notebooks | Using data from IMDB Dataset of 50K Movie Reviews.

    • Imdb_Reviews/Plain_Text
    • Imdb_Reviews/Bytes
    • Imdb_Reviews/Subwords8k
    • Imdb_Reviews/Subwords32k
    Config description: Plain text
    Dataset size: 129.83 MiB
    Feature structure:
    Config description: Uses byte-level text encoding withtfds.deprecated.text.ByteTextEncoder
    Dataset size: 129.88 MiB
    Feature structure:
    Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith8k vocab size
    Dataset size: 54.72 MiB
    Feature structure:
    Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith32k vocab size
    Dataset size: 50.33 MiB
    Feature structure:
  4. A dataset for binary sentiment classification of movie reviews using natural language processing or text analytics. The dataset contains 50,000 highly polar reviews for training and testing, and a Jupyter notebook for analysis.

  5. The IMDb dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative (this is the polarity). The dataset...

  6. Aug 2, 2020 · This dataset contains nearly 1 Million unique movie reviews from 1150 different IMDb movies spread across 17 IMDb genres - Action, Adventure, Animation, Biography, Comedy, Crime, Drama, Fantasy, History, Horror, Music, Mystery, Romance, Sci-Fi, Sport, Thriller and War.