CoolFace
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review

McAuley-Lab /Amazon-Reviews-2023Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. This dataset mainly includes reviews (ratings, text) and item metadata (desc- riptions, category information, price, brand, and images). Compared to the pre- vious versions, the 2023 version features larger size, newer reviews (up to Sep 2023), richer and cleaner meta data, and finer-grained timestamps (from day to milli-second).10B<n<100B354 likes62k downloads2y agoHugging Facecornell-movie-review-data /rotten_tomatoes 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.texttext-classification10K<n<100K117 likes55k downloads3y agoHugging FaceYelp /yelp_review_full Dataset Card for YelpReviewFull Dataset Summary The Yelp reviews dataset consists of reviews from Yelp. It is extracted from the Yelp Dataset Challenge 2015 data. Supported Tasks and Leaderboards text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment. Languages The reviews were mainly written in english. Dataset Structure Data Instances A… See the full description on the dataset page: https://huggingface.co/datasets/Yelp/yelp_review_full.texttext-classification100K<n<1M149 likes19k downloads3y agoHugging FaceNRVBench /nrvbench-review NR Video Editing Benchmark This repository contains two non-rigid video editing benchmark subsets for evaluating instruction-driven video editing methods. Each row in metadata.csv corresponds to one editing instruction for a source video, with relative paths to the source video, extracted frames, binary masks, prompts, and evaluation questions. The dataset card is written without author or institution identifiers so it can be used for anonymous review uploads. Before a non-anonymous… See the full description on the dataset page: https://huggingface.co/datasets/NRVBench/nrvbench-review.imagevideo-to-videon<1K1 likes9.5k downloads5mo agoHugging Facebanned-historical-archives /peking-review0 likes9.1k downloads2y agoHugging Facetaesiri /imagenet_hard_review_data_r2tabular1K<n<10K0 likes6.1k downloads3y agoHugging Face