Dataset · Hugging Face

abdullaharoon/Urdu-Multi-Domain-Benchmark

Name: Urdu-Multi-Domain-Benchmark
Creator: abdullaharoon
License: other
Keywords: task_categories:text-classification, language:ur, license:other, size_categories:100K<n<1M, format:csv, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, urdu, roman-urdu, domain-robustness, benchmark

Urdu Multi-Domain Benchmark (v1.1) A benchmark for domain robustness of Urdu text classifiers: 26 datasets in two scripts (Nastaliq and Roman Urdu), grouped into 7 transfer matrices over four task types (sentiment and polarity, abusive language, fake news, question-answer pair validation). All domains of a matrix share one label space, so every source-to-target pair is a valid domain shift. Paper: Domain Robustness of Multilingual NLP Models Across Urdu and Roman Urdu Scripts… See the full description on the dataset page: https://huggingface.co/datasets/abdullaharoon/Urdu-Multi-Domain-Benchmar

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Author / organization	abdullaharoon
License (as declared)	other
Downloads	200 (as reported by Hugging Face)
Likes	0
Created	29 August 2026
Last updated at source	30 September 2026

urduroman-urdudomain-robustnessbenchmark

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