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README.md
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license: cc-by-sa-4.0
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---
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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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