Booking.com Accommodation Reviews from 2023, 1.6 Million Entries

2023 English-language reviews from Booking.com, comprising a training set of about 1.6 million reviews from 40,000 accommodations globally. All reviews were written by guests who stayed at the accommodations and passed a moderation process to ensure genuineness. The dataset is authored by Booking-com and was last updated on the platform in September 2025.

Use Cases

• Train sentiment analysis models based on guest review text.
• Perform topic modeling to identify common themes in accommodation feedback.
• Benchmark text classification algorithms for genuine vs. non-genuine review detection.
• Analyze hospitality service trends based on global, user-generated content.

Strengths

• Large scale with about 1.6 million reviews.
• Global coverage from 40,000 accommodations.
• Reviews are moderated to ensure they are genuine and comply with platform guidelines.
• All reviews are from 2023, providing a recent snapshot.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to English reviews from a single year, which may not represent broader temporal or linguistic trends.
• The description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

Booking-com via Hugging Face.

Collection Method

User-generated reviews collected from the Booking.com platform.

Time Range

2023

Freshness

Last updated 2025-09-21 09:24:44; freshness should be verified.

Geography

Global