datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.Trustpilot-Reviews-Dataset-20K-Sample
Trustpilot Reviews Dataset – 20K Sample
This dataset contains a curated sample of 20,000 English-language user reviews sourced exclusively from Trustpilot.com. It is a representative subset of our larger collection containing over 1 million Trustpilot reviews across various industries and companies.
🗂️ Dataset Overview
Source: Trustpilot
Total Records: 20,000
Language: English
Industries: E-commerce, SaaS, Travel, Finance, Education, and more
Use Case: NLP tasks… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/Trustpilot-Reviews-Dataset-20K-Sample.nlp-google-reviews-dataset
NLP Google Reviews Dataset
A curated, multi-source dataset of 516 real Google reviews prepared for NLP tasks such as sentiment analysis, text classification, and topic modelling.
Dataset Description
This dataset was built using a production-grade Python pipeline that collects Google reviews from three independent sources, cleans and normalizes the data, and merges everything into a single structured CSV.
Sources
public_dataset: 495 reviews
web_scraping: 16… See the full description on the dataset page: https://huggingface.co/datasets/talhaa/nlp-google-reviews-dataset.hotel_reviews_with_filescustomer-review-qna-25
📦 Dataset: customer-review-qna-25
🧾 Summary
A small dataset of 25 GPT-4o-mini generated customer reviews, each containing:
input_question: Prompt or user query
output: Generated customer review
context: Background info (e.g. product, tone)
tags: Labels like positive, complaint, delivery, etc.
✅ safe ✅ Filtered ✅ Compact & usable for review generation or sentiment tasks
🧱 Dataset Structure
Format: CSVSize: 25 samplesFields:
Field
Type… See the full description on the dataset page: https://huggingface.co/datasets/elvanalabs/customer-review-qna-25.Turka-fo-making-coffee-C3G-225ml-reviewscustomer-review-qna-25
📦 Dataset: customer-review-qna-25
🧾 Summary
A small dataset of 25 GPT-4o-mini generated customer reviews, each containing:
input_question: Prompt or user query
output: Generated customer review
context: Background info (e.g. product, tone)
tags: Labels like positive, complaint, delivery, etc.
✅ safe ✅ Filtered ✅ Compact & usable for review generation or sentiment tasks
🧱 Dataset Structure
Format: CSVSize: 25 samplesFields:
Field
Type… See the full description on the dataset page: https://huggingface.co/datasets/al5nfsharyh/customer-review-qna-25.restaurant-reviews-timelines
🍽️ Restaurant Reviews with Timelines (Synthetic GPT-4.1 Nano)
Dataset Repository: Programmer-RD-AI/restaurant-reviews-timelines-gpt4nano
📚 Overview
This synthetic dataset comprises over 10,000 restaurant reviews, meticulously generated using OpenAI's GPT-4.1 Nano model. Each review is contextualized within a specific phase of a restaurant's lifecycle, such as:
Opening Hype (Year 1)
Needs Overhaul (Year 4)
New and Improving (Year 2)
Rise and Fall (Year 3)
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Programmer-RD-AI/restaurant-reviews-timelines.Amazon_Reviews