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The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative review has a score ≤ 4 out of 10, and a positive review has a score ≥ 7 out of 10. No more ...
- Imdb_Reviews/Plain_Text
- Imdb_Reviews/Bytes
- Imdb_Reviews/Subwords8k
- Imdb_Reviews/Subwords32k
Config description: Plain textDataset size: 129.83 MiBFeature structure:Config description: Uses byte-level text encoding withtfds.deprecated.text.ByteTextEncoderDataset size: 129.88 MiBFeature structure:Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith8k vocab sizeDataset size: 54.72 MiBFeature structure:Config description: Uses tfds.deprecated.text.SubwordTextEncoderwith32k vocab sizeDataset size: 50.33 MiBFeature structure:Large Movie Review Dataset. No Active Events. Create notebooks and keep track of their status here.
imdb_reviews. Description: Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
About Dataset IMDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing.
Loads the IMDB dataset. This is a dataset of 25,000 movies reviews from IMDB, labeled by sentiment (positive/negative). Reviews have been preprocessed, and each review is encoded as a list of word indexes (integers). For convenience, words are indexed by overall frequency in the dataset, so that for instance the integer "3" encodes the 3rd most ...
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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. The dataset also contains movie metadata such as date of release of the movie, run length, IMDb rating, movie rating (PG-13, R ...