Dataset · Hugging Face

mteb/CSFDSKMovieReviewSentimentClassification

Name: CSFDSKMovieReviewSentimentClassification
Creator: mteb
License: cc-by-sa-4.0
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:slk, license:cc-by-sa-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant

CSFDSKMovieReviewSentimentClassification An MTEB dataset Massive Text Embedding Benchmark The dataset contains 30k user reviews from csfd.cz in Slovak. Task category t2c Domains Reviews, Written Reference https://arxiv.org/abs/2304.01922 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["CSFDSKMovieReviewSentimentClassification"]) evaluator = mteb.MTEB(task)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/CSFDSKMovieReviewSentimentClassification.

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Author / organization	mteb
License (as declared)	cc-by-sa-4.0
Downloads	204 (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	6 May 2025

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