Dataset · Hugging Face

mteb/HotelReviewSentimentClassification

Name: HotelReviewSentimentClassification
Creator: mteb
License: unknown
Keywords: task_categories:text-classification, task_ids:sentiment-analysis, task_ids:sentiment-scoring, task_ids:sentiment-classification, task_ids:hate-speech-detection, annotations_creators:derived, multilinguality:monolingual, language:ara, license:unknown, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant

HotelReviewSentimentClassification An MTEB dataset Massive Text Embedding Benchmark HARD is a dataset of Arabic hotel reviews collected from the Booking.com website. Task category t2c Domains Reviews, Written Referencehttps://link.springer.com/chapter/10.1007/978-3-319-67056-0_3 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/HotelReviewSentimentClassification.

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Author / organization	mteb
License (as declared)	unknown
Downloads	301 (as reported by Hugging Face)
Likes	0
Created	21 December 2024
Last updated at source	21 May 2025

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