Dataset · Hugging Face

cornell-movie-review-data/rotten_tomatoes

Name: rotten_tomatoes
Creator: cornell-movie-review-data
License: unknown
Keywords: task_categories:text-classification, task_ids:sentiment-classification, annotations_creators:crowdsourced, language_creators:crowdsourced, multilinguality:monolingual, source_datasets:original, language:en, license:unknown, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars

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 More Information Needed Languages… See the full description on the dataset page: https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes.

View on Hugging FaceReport an issue

Author / organization	cornell-movie-review-data
License (as declared)	unknown
Downloads	57.2K (as reported by Hugging Face)
Likes	128
Created	2 March 2022
Last updated at source	18 March 2024

Embed this entry

<iframe src="https://silytics.si/embed/item/74ae968a-7713-4c35-afde-bae6e649b074" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.