Dataset · Hugging Face

mteb/OdiaNewsClassification

Name: OdiaNewsClassification
Creator: mteb
License: mit
Keywords: task_categories:text-classification, task_ids:topic-classification, annotations_creators:derived, multilinguality:monolingual, language:ory, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2005.00085, arxiv:2502.13595

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

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Author / organization	mteb
License (as declared)	mit
Downloads	157 (as reported by Hugging Face)
Likes	0
Created	7 May 2025
Last updated at source	7 May 2025

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