license: mit
tags:
- infinite-dataset-hub
- synthetic
HotelRatings
tags: service, cleanliness, amenities
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'HotelRatings' dataset is a collection of guest feedback entries for various hotels, focused on evaluating the guest's experience in terms of service, cleanliness, and amenities. The dataset is structured to facilitate analysis on customer satisfaction and hotel performance metrics. Each entry includes a unique identifier, the text of the feedback, and labels indicating the sentiment (positive, negative, neutral) and specific aspects (service, cleanliness, amenities) that the guest commented on.
CSV Content Preview:
id,feedback_text,label
001,"The room was exceptionally clean, and the service staff were attentive and friendly. Highly recommend!","positive,cleanliness,service"
002,"I found the amenities lacking; there was no gym and the pool was closed. Not a good experience.", "negative,amenities"
003,"The hotel was quite comfortable, but the service was not up to the mark. I had to wait a long time to get my room key.", "neutral,service"
004,"Outstanding amenities, including a well-equipped gym and a spa. Very satisfied with my stay!","positive,amenities"
005,"Cleanliness was not maintained well, especially the bathroom. It's hard to enjoy your stay when you feel uncomfortable.", "negative,cleanliness"
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'guest feedback':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=guest+feedback&dataset=HotelRatings&tags=service,+cleanliness,+amenities
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub