Dataset Card for "rotten_tomatoes"

Dataset Summary

Movie Review Dataset. This is a dataset of containing 5,331 positive and 5,331 negative processed sentences from Rotten Tomatoes movie reviews. This data was first used in Bo Pang and Lillian Lee, ``Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.'', Proceedings of the ACL, 2005.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 0.49 MB
• Size of the generated dataset: 1.34 MB
• Total amount of disk used: 1.84 MB

An example of 'validation' looks as follows.

{
    "label": 1,
    "text": "Sometimes the days and nights just drag on -- it 's the morning that make me feel alive . And I have one thing to thank for that : pancakes . "
}

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

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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
}

Contributions

Thanks to @thomwolf , @jxmorris12 for adding this dataset.