Dataset · Hugging Face

prachuryyaIITG/APTFiNER

Name: APTFiNER
Creator: prachuryyaIITG
License: mit
Keywords: task_categories:token-classification, task_categories:other, language:as, language:brx, language:mr, language:ne, language:ta, language:te, license:mit, size_categories:1M<n<10M, format:text, modality:text, library:datasets, library:mlcroissant, arxiv:2601.10161

APTFiNER: Annotation Preserving Translation for Fine-grained Named Entity Recognition APTFiNER is a framework to create high-quality fine-grained named entity recognition datasets through annotation preserving translation using LLMs. Utilizing APTFiNER, fine-grained named entity recognition dataset is created in six languages: Assamese (as), Bodo (brx), Marathi (mr), Nepali (ne), Tamil (ta) and Telugu (te). Please read the paper in LREC'26 proceedings APTFiNER… See the full description on the dataset page: https://huggingface.co/datasets/prachuryyaIITG/APTFiNER.

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Author / organization	prachuryyaIITG
License (as declared)	mit
Downloads	127 (as reported by Hugging Face)
Likes	0
Created	13 February 2026
Last updated at source	18 August 2026

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