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Dataset · Hugging Face

manojkumarcs/indic-diarbench

Indic DiarBench A multilingual joint diarization and ASR benchmark for Indian languages, spanning all 22 scheduled languages of India with approximately 108 hours of natural multi-speaker audio. Dataset Summary Indic DiarBench is a conversational speech benchmark designed to evaluate speaker-attributed ASR in realistic multi-speaker settings for Indian languages. All annotations are human-corrected with time-aligned, speaker-attributed transcriptions. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/manojkumarcs/indic-diarbench.

Author / organizationmanojkumarcs
License (as declared)cc-by-4.0
Downloads400 (as reported by Hugging Face)
Likes0
Created11 August 2026
Last updated at source11 August 2026
diarizationindicspeechmulti-speakerannotationspeaker-attributed-asrcode-mixing
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