datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
somali-asr-synthetic-youtube
Somali ASR Synthetic YouTube Dataset
A Somali-language speech dataset derived from YouTube audio, intended for training and evaluating automatic speech recognition (ASR) and speech-to-text (STT) models. Transcriptions were generated synthetically (silver-standard) via ASR bootstrapping.
Dataset Summary
Split
Samples
train
~4,393
validation
200
test
100
Total
~4,693
Language: Somali (so)
Audio format: WAV, 16 kHz, mono, 16-bit PCM
Total… See the full description on the dataset page: https://huggingface.co/datasets/IbrahimDayax/somali-asr-synthetic-youtube.YouTube-Evaluation-Set
Awaaz se Alfaaz — YouTube Evaluation Set
This dataset is the realistic multi-speaker evaluation set used in Awaaz se Alfaaz, accepted at LaTeLL 2026 — "Enhancing Urdu ASR with Whisper v3: Fine-Tuning on Latest Datasets and Realistic Multi-Speaker Evaluation with SLM Post-Processing." It contains 30 short-form Urdu YouTube videos (YouTube Shorts) covering a mix of news, sports, and current affairs content, along with human annotated gold transcripts and transcripts produced by… See the full description on the dataset page: https://huggingface.co/datasets/awaaz-se-alfaaz/YouTube-Evaluation-Set.crowd-recital-yi
About
This dataset was created by crowd-sourced recording sessions in Yiddish as part of the ivrit.ai Crowd Recital project.
Volunteers read on normal desktop or mobile setting Wikipedia articles while time-stamping every sentence read.
Later this data is normalized by aligning the gathered captions with the audio using Stable Whisper (See Below).
The recording project is an ongoing effort and new data will be appended to this dataset periodically as it is being generated.… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/crowd-recital-yi.crowd-whatsapp-yi
About
This dataset was created by crowd-sourced Whatsapp voice recordings in Yiddish as part of the ivrit.ai project.
Volunteers read a message sent to them from a predefined set of messages, recording themselves using Whasapp voice message sent to the collecting bot.
Later this data is normalized by aligning the captions with the audio using Stable Whisper (See Below).
The recording project is an ongoing effort and new data will be appended to this dataset periodically as it is… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/crowd-whatsapp-yi.chuvash-asr-final
Chuvash ASR1
Небольшой аудиодатасет для распознавания чувашской речи.
Structure
audio/ — аудиофайлы
train.csv — метаданные с колонками:
file_name
text_chv
client_id
Columns
file_name — относительный путь к аудиофайлу
text_chv — расшифровка на чувашском языке
client_id — идентификатор говорящего
Example
file_name,text_chv,client_id
audio/00001.ogg,Салам,spk01
audio/00002.ogg,Ырӑ ир,spk01
Web demo (single page)
Файл web_app.py… See the full description on the dataset page: https://huggingface.co/datasets/yulia774/chuvash-asr-final.