datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
515k-Hotel-Reviews-In-Europehotel_datasetsahsan81_hotel-reservations-classification-dataset
Hotel Reservations Dataset
Can you predict if customer is going to cancel the reservation ?
Dataset Info
Source: Kaggle
Original Size: 0.47 MB
Kaggle Downloads: 57,080
Files: 1
Files
Hotel Reservations.csv
Mirrored from Kaggle
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.scraped-hotel-reviewsHotel_reviews_Kagglehotel_booking_data
🏨 Hotel Booking Data
📌 Dataset Overview
Hotel Booking Data is a structured dataset containing information about hotel reservations, customer characteristics, booking behavior, room assignments, pricing, cancellations, and reservation outcomes.
The dataset can be used for Exploratory Data Analysis (EDA), Data Science, Machine Learning, and Predictive Analytics in the hospitality domain.
One of the main use cases is predicting whether a hotel reservation will be… See the full description on the dataset page: https://huggingface.co/datasets/momentarek1/hotel_booking_data.hotel_datasetsHotelReservationsDataset
Hotel Reservation EDA & Prediction
Overview
This project explores a hotel reservation dataset from Kaggle with the goal of understanding booking behavior
and determining whether it is possible to predict reservation status (canceled or not canceled) based on the available features.
The project focuses on Exploratory Data Analysis (EDA) only — no machine learning model was trained.
Dataset
This dataset includes 36,275 hotel reservations with 19 features… See the full description on the dataset page: https://huggingface.co/datasets/Omrihahami/HotelReservationsDataset.VLSP2018-ABSA-Hotel
VLSP2018-ABSA-Hotel
Dataset Summary
The VLSP 2018 Hotel corpus is designed for Vietnamese Aspect-Based Sentiment Analysis (ABSA), covering two sub-tasks of Aspect Category Sentiment Analysis (ACSA):
Aspect Category Detection (ACD): identify which Aspect#Category pairs are present in each review.
Sentiment Polarity Classification (SPC): assign one of three sentiment labels (Positive, Negative, Neutral) to each detected Aspect#Category.
This unified CSV contains 5,600… See the full description on the dataset page: https://huggingface.co/datasets/visolex/VLSP2018-ABSA-Hotel.hotel-reservations
Hotel Reservations & Booking Dataset (Free Sample)
This is a free sample with 2,180 rows. The full dataset has 21,808 rows across 4 tables.
Reservation records for a simulated boutique hotel chain (3 properties, 180 rooms)
over 2 years. Includes guest profiles, room inventory, reservations with check-in/out,
and seasonal pricing that fluctuates with demand.
Features realistic patterns: summer peak season, holiday spikes, corporate vs leisure
mix, cancellation rates by lead time… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/hotel-reservations.processed-hotel-reviewshotelsnew
Hotel Booking Cancellation Analysis
Overview
This project analyzes hotel booking data with the goal of understanding customer behavior, especially cancellations.
The main question behind this analysis is simple:What drives customers to cancel their bookings?
By exploring patterns in the data, we can better understand how timing, pricing, and customer type affect cancellation behavior.
The dataset was taken from Kaggle ("Hotel Booking Demand Dataset") and was cleaned and… See the full description on the dataset page: https://huggingface.co/datasets/matanask/hotelsnew.priceline-hotels-global-quality-2026
Global Hotels 2026: 17 Cities, GPS & Ratings
Open dataset by MrBridge — 971 rows of hotel data (ratings, prices and attributes), free to download, inspect and reuse.
Data source
Collected with the Priceline Hotel Scraper on Apify — a cloud actor returning clean, structured CSV/JSON with no local setup. Re-run it yourself for fresh data.
Get fresh data → https://apify.com/mrbridge/priceline-hotel-scraper?fpr=mrbridge
Schema
data.csv — 971 rows, 18… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Bridge/priceline-hotels-global-quality-2026.paris-vs-tokyo-hotels-2026
Paris vs Tokyo Hotels 2026: Stars & Guest Ratings
Hotels in Paris and Tokyo (3 to 5 star), each with hotel name, platform star level and a blended guest rating (Booking, Priceline, Agoda, HotelsCombined). Collected 2026-06-22 by MrBridge.
Files
kayak_paris_tokyo_2026.csv — 197 hotels (Paris 98, Tokyo 99), the primary blended-OTA source.
priceline_paris_tokyo_2026.csv — 62 hotels, an independent Priceline pull used as a robustness check.
Columns: city, name… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Bridge/paris-vs-tokyo-hotels-2026.hotel_datahotel-multimodalhotel_bookings
Hotel Bookings Dataset
Este dataset contém informações detalhadas sobre reservas de hotéis (urbano e resort), com variáveis relevantes para prever o cancelamento de reservas.
Fonte original: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
priceline-hotels-paris-detailed-2026
Paris Hotels 2026: Ratings, Scores & Reviews
Open dataset by MrBridge — 98 rows of hotel data (ratings, prices and attributes), free to download, inspect and reuse.
Data source
Collected with the Priceline Hotel Details Scraper on Apify — a cloud actor returning clean, structured CSV/JSON with no local setup. Re-run it yourself for fresh data.
Get fresh data → https://apify.com/mrbridge/priceline-hotel-details-scraper?fpr=mrbridge
Schema
data.csv —… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Bridge/priceline-hotels-paris-detailed-2026.priceline-hotels-nyc-detailed-2026
NYC Hotels 2026: Ratings, Scores & Reviews
Open dataset by MrBridge — 124 rows of hotel data (ratings, prices and attributes), free to download, inspect and reuse.
Data source
Collected with the Priceline Hotel Details Scraper on Apify — a cloud actor returning clean, structured CSV/JSON with no local setup. Re-run it yourself for fresh data.
Get fresh data → https://apify.com/mrbridge/priceline-hotel-details-scraper?fpr=mrbridge
Schema
data.csv —… See the full description on the dataset page: https://huggingface.co/datasets/Mr-Bridge/priceline-hotels-nyc-detailed-2026.PromptCloudHQ_hotels-on-goibibo
Indian Hotels on Goibibo
4,000 Indian hotels on Goibibo
Dataset Info
Source: Kaggle
Original Size: 2.22 MB
Kaggle Downloads: 4,797
Files: 1
Files
goibibo_com-travel_sample.csv
Mirrored from Kaggle
Hotel-maintenance-complaints-datasetHotelBookingSystemHotel_Reservationhotel
