Dataset · Hugging Face

mteb/GujaratiNewsClassification

Name: GujaratiNewsClassification
Creator: mteb
License: mit
Keywords: task_categories:text-classification, task_ids:topic-classification, annotations_creators:derived, multilinguality:monolingual, language:guj, license:mit, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595, arxiv:2210.07316

GujaratiNewsClassification An MTEB dataset Massive Text Embedding Benchmark A Gujarati dataset for 3-class classification of Gujarati news articles Task category t2c Domains News, Written Reference https://github.com/goru001/nlp-for-gujarati 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(["GujaratiNewsClassification"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/GujaratiNewsClassification.

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Author / organization	mteb
License (as declared)	mit
Downloads	1.4K (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	6 May 2025

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