Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
License:
| language: | |
| - en | |
| language_creators: | |
| - found | |
| license: cc0-1.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 100K<n<1M | |
| tags: | |
| - reviews | |
| - ratings | |
| - ordinal | |
| - text | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - text-scoring | |
| - sentiment-scoring | |
| Cleaned up version of the rotten tomatoes critic reviews dataset. The original | |
| is obtained from Kaggle: | |
| https://www.kaggle.com/datasets/stefanoleone992/rotten-tomatoes-movies-and-critic-reviews-dataset | |
| Data has been scraped from the publicly available website | |
| https://www.rottentomatoes.com as of 2020-10-31. | |
| The clean up process drops anything without both a review and a rating, as well | |
| as standardising the ratings onto several integer, ordinal scales. | |
| Requires the `kaggle` library to be installed, and kaggle API keys passed | |
| through environment variables or in ~/.kaggle/kaggle.json. See [the Kaggle | |
| docs](https://www.kaggle.com/docs/api#authentication). | |
| A processed version is available at | |
| https://huggingface.co/datasets/frankier/processed_multiscale_rt_critics | |