Datasets › Yelp Review Polarity

Yelp Review Polarity

Introduced by Xiang Zhang et al. in Character-level Convolutional Networks for Text Classification4 Sep 2015 archive 2025-07-28

The Yelp Reviews Polarity dataset is obtained from the Yelp Dataset Challenge in 2015 (1,569,264 samples that have review text).

The polarity label is constructed by considering stars 1 and 2 negative, and 3 and 4 positive.

The polarity dataset has 280,000 training samples and 19,000 test samples in each polarity.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

No paper in the archive has a leaderboard row on this dataset; the archive counts 37 papers for it but never published that list.

2 loaders as listed in the archive; links are outbound and not re-checked here.

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

2 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections