Dataset · Hugging Face

ukeje71/Dengevoice

Name: Dengevoice
Creator: ukeje71
License: mit
Keywords: language:ig, language:yo, language:ha, language:pcm, language:en, license:mit, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

DengeVoice ASR Benchmark Executive Summary DengeVoice lets citizens report civic complaints by speaking naturally — mixing English with their local language, the way people actually talk. Choosing the right ASR engine for this is not cosmetic: it determines whether a citizen's complaint is captured correctly or silently mangled. This report benchmarks three ASR engines — Sahara (Intron), Meta MMS (mms-1b-all), and NCAIR1's language-specific Whisper fine-tunes… See the full description on the dataset page: https://huggingface.co/datasets/ukeje71/Dengevoice.

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Author / organization	ukeje71
License (as declared)	mit
Downloads	161 (as reported by Hugging Face)
Likes	0
Created	12 September 2026
Last updated at source	15 September 2026

speech-recognitioncode-switchingnigerian-languagesasr-benchmarksahara-codeswitch-challenge

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