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---
license: cc-by-sa-4.0
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# Dataset Card for "rotten_tomatoes_reviews"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** [http://www.cs.cornell.edu/people/pabo/movie-review-data/](http://www.cs.cornell.edu/people/pabo/movie-review-data/)
- **Paper:** [https://arxiv.org/abs/cs/0506075](https://arxiv.org/abs/cs/0506075)
### 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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