Datasets:

jeffnyman
/

rotten_tomatoes_reviews

Tasks:

Text Classification

Sub-tasks:

sentiment-classification

License:

Dataset card Files Files and versions

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Dataset Card for "rotten_tomatoes_reviews"

Dataset Summary

Movie Review Dataset.

This is a dataset containing 4,265 positive and 4,265 negative processed sentences from Rotten Tomatoes movie reviews.

Dataset Structure

Data Fields

The data fields are the same among all splits.

default

text: a string feature.
label: a classification label, with possible values including neg (0), pos (1).

Data Splits

name	train	validation	test
default	8530	1066	1066

Additional Information

Citation Information

@InProceedings{Pang+Lee:05a,
  author =       {Bo Pang and Lillian Lee},
  title =        {Seeing stars: Exploiting class relationships for sentiment
                  categorization with respect to rating scales},
  booktitle =    {Proceedings of the ACL},
  year =         2005
}

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