Dataset · Hugging Face

PaDaS-Lab/nfqa-multilingual-dataset

Name: nfqa-multilingual-dataset
Creator: PaDaS-Lab
License: apache-2.0
Keywords: task_categories:text-classification, language:multilingual, license:apache-2.0, size_categories:10K<n<100K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, question-classification, nfqa, non-factoid

NFQA Multilingual Dataset A large-scale multilingual dataset for Non-Factoid Question Answering (NFQA) classification, covering 49 languages and 8 question categories. Dataset Statistics Split Examples Train 28,653 Validation 3,539 Test 3,671 Total (Balanced) 35,863 Full Dataset (High Quality) 63,647 Dataset Composition Languages (49 total) Arabic (ar), Azerbaijani (az), Bulgarian (bg), Bengali (bn), Catalan… See the full description on the dataset page: https://huggingface.co/datasets/PaDaS-Lab/nfqa-multilingual-dataset.

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Author / organization	PaDaS-Lab
License (as declared)	apache-2.0
Downloads	135 (as reported by Hugging Face)
Likes	1
Created	4 February 2026
Last updated at source	23 March 2026

question-classificationnfqanon-factoidmultilingual

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16 Oct 2026 Description: NFQA Multilingual Dataset A large-scale multilingual dataset for Non-Factoid Question Answering (NFQA) classification, covering 49 languages and 8 question categories. Dataset Statistics Split Examples Train 28,653 Validation 3,539 Test 3,6 → NFQA Multilingual Dataset A large-scale multilingual dataset for Non-Factoid Question Answering (NFQA) classification, covering 49 languages and 8 question categories. Dataset Statistics Split Examples Train 28,653 Validation 3,539 Test 3,6

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