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--- |
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license: cc-by-sa-4.0 |
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task_categories: |
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- text-classification |
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task_ids: |
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- sentiment-classification |
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--- |
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# Dataset Card for "rotten_tomatoes_reviews" |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Additional Information](#additional-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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- **Homepage:** [http://www.cs.cornell.edu/people/pabo/movie-review-data/](http://www.cs.cornell.edu/people/pabo/movie-review-data/) |
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- **Paper:** [https://arxiv.org/abs/cs/0506075](https://arxiv.org/abs/cs/0506075) |
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### Dataset Summary |
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Movie Review Dataset. |
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This is a dataset containing 4,265 positive and 4,265 negative processed |
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sentences from Rotten Tomatoes movie reviews. |
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## Dataset Structure |
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### Data Fields |
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The data fields are the same among all splits. |
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#### default |
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- `text`: a `string` feature. |
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- `label`: a classification label, with possible values including `neg` (0), `pos` (1). |
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### Data Splits |
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| name |train|validation|test| |
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|-------|----:|---------:|---:| |
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|default| 8530| 1066|1066| |
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## Additional Information |
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### Citation Information |
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``` |
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@InProceedings{Pang+Lee:05a, |
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author = {Bo Pang and Lillian Lee}, |
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title = {Seeing stars: Exploiting class relationships for sentiment |
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categorization with respect to rating scales}, |
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booktitle = {Proceedings of the ACL}, |
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year = 2005 |
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} |
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``` |
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