datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tripadvisor_hotel_reviewsECommerce-Women-Clothing-ReviewsWomens_Clothing_E-Commerce_Reviewsamazon-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.17k-hotel-reviews-dataset515k-Hotel-Reviews-In-Europe515K_Hotel_Reviewspunta-cana-spanish-reviewsThis data set was collected for academic purposes, suitable for some NLP tasks including sentiment analysis.
gradio-reviewsmessengers-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_product_reviews_video_games#Title
klej-allegro-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.Employees_Reviews_Datasethotel_reviews_sentiment_1KDataset source attributed to https://data.world/
Dataset contains user reviews for hotel stays, the original dataset from data.world was slightly modified to create sentiment and total_review columns based on the
ratings and review text from the original dataset
amazon-food-reviews-dataset
Dataset Card for "Amazon Food Reviews"
Dataset Summary
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.
Supported Tasks and Leaderboards
This dataset can be used for numerous tasks like sentiment analysis, text… See the full description on the dataset page: https://huggingface.co/datasets/jhan21/amazon-food-reviews-dataset.car-reviewsamazon-beauty-reviews-dataset
Dataset Card for "Amazon Beauty Reviews"
Dataset Summary
This dataset consists of reviews of "All Beauty" category from amazon. The data includes all ~700,000 reviews up to 2023. Reviews include product and user information, ratings, and a plain text review.
Supported Tasks and Leaderboards
This dataset can be used for numerous tasks like sentiment analysis, text classification, and user behavior analysis. It's particularly useful for training models to… See the full description on the dataset page: https://huggingface.co/datasets/jhan21/amazon-beauty-reviews-dataset.trustpilot-reviews-123k
Trustpilot Reviews 123k
Welcome to the Trustpilot Reviews 123k Dataset, a collection of user feedback gathered from Trustpilot UK. This dataset encompasses a total of 123,181 reviews spanning 1,680 companies across 22 categories. The reviews were methodically collected over a brief period between 19th December 2024 and 7th January 2025, providing a snapshot of customer sentiments during this timeframe. This dataset is intended for researchers and practitioners interested in natural… See the full description on the dataset page: https://huggingface.co/datasets/Kerassy/trustpilot-reviews-123k.drug-reviewsgoogle_play_store_reviewsIMDb_movie_reviews
Dataset Card for IMDb Movie Reviews
Dataset Summary
This is a custom train/test/validation split of the IMDb Large Movie Review Dataset available from http://ai.stanford.edu/~amaas/data/sentiment/.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
IMDb_movie_reviews
An example of 'train':
{
"text": "Beautifully photographed and ably acted, generally, but the… See the full description on the dataset page: https://huggingface.co/datasets/jahjinx/IMDb_movie_reviews.product-reviews-sentiment
Product Reviews Sentiment
9,000 English customer reviews labeled into 4 operational categories, balanced across classes, ready for training text classifiers.
Built for the common real-world triage task: routing incoming customer feedback to the right team. The four categories map to the four owners most support pipelines route to: product, support, fraud, and operations.
Categories
Category
Rows
What it covers
Product Feedback
2,238
Quality, features… See the full description on the dataset page: https://huggingface.co/datasets/AnkitAI/product-reviews-sentiment.Amazon_Reviews_Binary_for_Sentiment_Analysis
Dataset Card for Dataset Name
The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. In the dataset, class 1 is the negative and class 2 is the positive. Each class has 1,800,000 training samples and 200,000 testing samples.
Dataset Details
Dataset Description
The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3… See the full description on the dataset page: https://huggingface.co/datasets/yassiracharki/Amazon_Reviews_Binary_for_Sentiment_Analysis.Amazon_Reviews_for_Sentiment_Analysis_fine_grained_5_classes
Dataset Card for Dataset Name
The Amazon reviews full score dataset is constructed by randomly taking 600,000 training samples and 130,000 testing samples for each review score from 1 to 5. In total there are 3,000,000 trainig samples and 650,000 testing samples.
Dataset Details
Dataset Description
The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3 columns in them, corresponding to class index (1 to 5)… See the full description on the dataset page: https://huggingface.co/datasets/yassiracharki/Amazon_Reviews_for_Sentiment_Analysis_fine_grained_5_classes.g2-software-reviews
G2 Software Reviews
111,441 B2B software reviews from G2, covering the 79 most-reviewed products, spanning 2012 to 2026.
The largest public G2 review corpus by a wide margin. Before this, the biggest available was a sample of under 1,000 rows.
What is in here that is not in other review datasets
A structured pros-and-cons split on 35,137 reviews. G2 asks "what do you like best" and "what do you dislike" as separate prompts, so those are separate columns rather… See the full description on the dataset page: https://huggingface.co/datasets/FreshCrawl/g2-software-reviews.Booking-Hotel-Reviews-Dataset
Booking.com Hotel Reviews Dataset – 4.3K Sample
A rich, structured dataset of hotel reviews collected from Booking.com, featuring a unique split of positive and negative review text, reviewer country, stay dates, traveler tags, and hotel location data. Ideal for sentiment analysis, aspect-based opinion mining, travel AI, hospitality recommendation systems, and LLM fine-tuning on real-world review data.
Dataset Overview
Field
Details
Source… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/Booking-Hotel-Reviews-Dataset.Kaggle_Beer_ReviewsRussian_bank_reviews
Dataset Card for bank reviews dataset
Dataset Summary
The dataset is collected from the banki.ru website.
It contains customer reviews of various banks. In total, the dataset contains 12399 reviews.
The dataset is suitable for sentiment classification.
The dataset contains this fields - bank name, username, review title, review text, review time, number of views,
number of comments, review rating set by the user, as well as ratings for special categories… See the full description on the dataset page: https://huggingface.co/datasets/Romjiik/Russian_bank_reviews.amazon-reviews
Amazon Reviews Dataset
This dataset contains Amazon product reviews with binary sentiment labels (positive, negative) for text classification tasks.
Dataset Description
The dataset includes:
train.csv - Training set, 5000 samples
test.csv - Test set, 1000 samples
Usage
import pandas as pd
from huggingface_hub import hf_hub_download
# Download the training set
file_path = hf_hub_download(
repo_id="Cleanlab/amazon-reviews",
filename="train.csv"… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/amazon-reviews.