Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
License:
cc0-1.0
| text (string) |
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"aiohttp==3.8.3" |
"aiosignal==1.2.0" |
"async-timeout==4.0.2" |
"attrs==22.1.0" |
"certifi==2022.9.24" |
"charset-normalizer==2.1.1" |
"datasets==2.6.1" |
"dill==0.3.5.1" |
"filelock==3.8.0" |
"frozenlist==1.3.1" |
"fsspec==2022.10.0" |
"idna==3.4" |
"joblib==1.2.0" |
"kaggle==1.5.12" |
"multidict==6.0.2" |
"multiprocess==0.70.13" |
"numpy==1.23.4" |
"packaging==21.3" |
"pandas==1.5.1" |
"pyarrow==10.0.0" |
"pyparsing==3.0.9" |
"python-dateutil==2.8.2" |
"python-slugify==6.1.2" |
"pytz==2022.5" |
"PyYAML==6.0" |
"requests==2.28.1" |
"responses==0.18.0" |
"scikit-learn==1.1.3" |
"scipy==1.9.3" |
"six==1.16.0" |
"text-unidecode==1.3" |
"threadpoolctl==3.1.0" |
"tqdm==4.64.1" |
"typing_extensions==4.4.0" |
"urllib3==1.26.12" |
"xxhash==3.1.0" |
"yarl==1.8.1" |
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.
A processed version is available at https://huggingface.co/datasets/frankier/processed_multiscale_rt_critics
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