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README.md

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----
-license: other
----
-This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.
-
-```
-This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. 
-We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. 
-Raw text and already processed bag of words formats are provided. See the README file contained in the release for more details.
-```
-
-[Here](http://ai.stanford.edu/~amaas/data/sentiment/) is the redirection.
-
-```
-@InProceedings{maas-EtAl:2011:ACL-HLT2011,
-  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},
-  title     = {Learning Word Vectors for Sentiment Analysis},
-  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
-  month     = {June},
-  year      = {2011},
-  address   = {Portland, Oregon, USA},
-  publisher = {Association for Computational Linguistics},
-  pages     = {142--150},
-  url       = {http://www.aclweb.org/anthology/P11-1015}
-}
-```

IMDB Dataset.csv → scikit-learn--imdb/csv-train.parquet

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