datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
womens-clothing-ecommerce-reviews
Dataset Card for "womens-clothing-ecommerce-reviews"
Processed version of this dataset.
ECommerce-Women-Clothing-Reviewsamazon_reviews_mcauley_1and5drug-reviewsWomens_Clothing_E-Commerce_ReviewsUCI_drug_reviews
Data Description
This data comes from the UC Irvine Machine Learning Repository. It has been preprocessed to only contain reviews at least 13 or more words in length. The raw data for this
specific dataset can be found here. The base UCI ML url can be found
here.
kaggle-womens-ecom-clothing-reviews
Women's Clothing E-Commerce Reviews (wide-row repack)
Repack of Kaggle dataset nicapotato/womens-ecommerce-clothing-reviews (CC0-1.0) into a single wide parquet with ZStandard level 9 compression.
Schema: one row per review — row_id (int64), clothing_id (int32), age (int32), rating (int8), recommended_ind (int8), positive_feedback_count (int32), title (string, nullable), review_text (string, nullable), division_name (string, nullable), department_name (string, nullable)… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/kaggle-womens-ecom-clothing-reviews.wine-reviews
Original Dataset Details
License: CC BY-NC-SA 4.0
Attribution: Zackthoutt
Source: Wine Reviews Dataset on Kaggle
amazon-reviews-sentiment-analysis
Dataset Card for amazon reviews for sentiment analysis
Dataset Summary
One of the most important problems in e-commerce is the correct calculation of the points given to after-sales products. The solution to this problem is to provide greater customer satisfaction for the e-commerce site, product prominence for sellers, and a seamless shopping experience for buyers. Another problem is the correct ordering of the comments given to the products. The prominence of misleading… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/amazon-reviews-sentiment-analysis.Amazon-Reviews-2023-Books-Review
Amazon Reviews 2023 (Books Only)
This is a subset of Amazon Review 2023 dataset. Please visit amazon-reviews-2023.github.io/ for more details, loading scripts, and preprocessed benchmark files.
[April 18, 2024] Update
This dataset was created and pushed for the first time.
This is a large-scale Amazon Reviews dataset, collected in 2023 by McAuley Lab, and it includes rich features such as:
User Reviews (ratings, text, helpfulness votes, etc.);
Item Metadata (descriptions… See the full description on the dataset page: https://huggingface.co/datasets/cogsci13/Amazon-Reviews-2023-Books-Review.Amazon-Reviews-2023-Books-Meta
Amazon Reviews 2023 (Books Only)
This is a subset of Amazon Review 2023 dataset. Please visit amazon-reviews-2023.github.io/ for more details, loading scripts, and preprocessed benchmark files.
[April 18, 2024] Update
This dataset was created and pushed for the first time.
This is a large-scale Amazon Reviews dataset, collected in 2023 by McAuley Lab, and it includes rich features such as:
User Reviews (ratings, text, helpfulness votes, etc.);
Item Metadata (descriptions… See the full description on the dataset page: https://huggingface.co/datasets/cogsci13/Amazon-Reviews-2023-Books-Meta.encoded_drug_reviewsamazon_reviews_2013wayfair_customer_reviews
Wayfair Customer Reviews Dataset
This dataset contains customer reviews collected from wayfair.com.It accompanies the paper End-to-End Aspect-Guided Review Summarization at Scale, accepted to the EMNLP 2025 Industry Track.
Overview
The dataset supports tasks such as:
Aspect extraction
Product-level summarization, e.g., aggregating reviews by the product_id field.
It can be used on its own or combined with the companion Wayfair Product Summaries dataset.Both datasets… See the full description on the dataset page: https://huggingface.co/datasets/IeBoytsov/wayfair_customer_reviews.515k-Hotel-Reviews-In-Europesteam-reviews
Steam Reviews Dataset
Description
113 million Steam user reviews collected via the Steam User Reviews API.
Originally sourced from Kaggle and converted to Parquet format for efficient distributed processing.
Source
Original dataset: https://www.kaggle.com/datasets/kieranpoc/steam-reviews
License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
Citation
Credit: kieranpoc on Kaggle… See the full description on the dataset page: https://huggingface.co/datasets/adde023/steam-reviews.gradio-reviewsdrug-reviews
Dataset Details
1.Dataset Loading:
Initially, we load the Drug Review Dataset from the UC Irvine Machine Learning Repository. This dataset contains patient reviews of different drugs, along with the medical condition being treated and the patients' satisfaction ratings.
2.Data Preprocessing:
The dataset is preprocessed to ensure data integrity and consistency. We handle missing values and ensure that each patient ID is unique across the dataset.
3.Text… See the full description on the dataset page: https://huggingface.co/datasets/Mouwiya/drug-reviews.messengers-reviews-google-play
Reviews on Messengers Dataset - Review dataset
The Reviews on Messengers Dataset is a comprehensive collection of 200 the most recent customer reviews on 6 messengers obtained from the popular app store, Google Play. See the list of the apps below.
This dataset encompasses reviews written in 5 different languages: English, French, German, Italian, Japanese.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/messengers-reviews-google-play.Amazon-Reviews-2023amazon_product_reviews_video_games#Title
drug_reviewsyelp-open-dataset-reviewsmovie_reviews_with_context_drift
Dataset Card for reviews_with_drift
Dataset Description
Dataset Summary
This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (age, gender, context) as well as a made up timestamp… See the full description on the dataset page: https://huggingface.co/datasets/arize-ai/movie_reviews_with_context_drift.amazon_reviews_polarity_2013Employees_Reviews_Datasetfrench_book_reviews
Dataset Card for French book reviews
I-Dataset Summary
The majority of review datasets are in English. There are datasets in other languages, but not many. Through this work, I would like to enrich the datasets in the French language(my mother tongue with Arabic).The data was retrieved from two French websites: Babelio and Critiques LibresLike Wikipedia, these two French sites are made possible by the contributions of volunteers who use the Internet to share their… See the full description on the dataset page: https://huggingface.co/datasets/Abirate/french_book_reviews.amazon_reviews-docb2w-reviews01B2W-Reviews01 is an open corpus of product reviews. It contains more than 130k e-commerce customer reviews, collected from the Americanas.com website between January and May, 2018. B2W-Reviews01 offers rich information about the reviewer profile, such as gender, age, and geographical location. The corpus also has two different review ratesICLR_Peer_Reviews_2026