datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tat_youtubepseudolabel-malaysian-youtube-whisper-large-v3
Pseudolabel Malaysian Youtube videos using Whisper Large V3
Original dataset at https://huggingface.co/datasets/malaysia-ai/crawl-youtube, distributed pseudolabelled using 4x A100s
script at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/pseudolabel-whisper
Each audio is 30 seconds.
Each audio saved in 16k sample rate.
cantonese-youtube-tts
Cantonese Audio TTS Dataset
This dataset contains alvanlii/cantonese-radio, alvanlii/cantonese-youtube, plus a dataset of equal size. It is catered towards TTS (text-to-speech) use cases, more than the 2 previously published datasets, as there is more extensive filtering and audio enhancement. For speaker labelling, you can use speaker embedding models like Nvidia's TitaNet
Filtered out:
Overlapped voices, detected using pyannote/speaker-diarization-3.1
Music, detected using a… See the full description on the dataset page: https://huggingface.co/datasets/alvanlii/cantonese-youtube-tts.YouTube-Cantonese-Emilia
YouTube Cantonese — Emilia
2,064,679 speaker-homogeneous Cantonese speech segments — 5,312.6 hours — produced by
running alvanlii/cantonese-youtube
through the Emilia
speech-data pipeline (source separation → diarization → VAD segmentation → ASR → MOS filtering).
Each row is one clean, single-speaker segment of 3–30 s with a transcript, a speaker turn
label and a DNSMOS quality score. Audio is shipped separately as MP3s inside zip parts, in
both an original and a silence-trimmed… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/YouTube-Cantonese-Emilia.YouTube-Commons-nl-audio
YouTube Commons NL Audio
This dataset has audio files for the Dutch-language videos in Rijgersberg/YouTube-Commons-nl-transcriptions,
all under a CC BY 4.0 license.
It contains 11,669 files for a total runtime of 2493h 43m 5s, coming in at approximately 130 GB.
Source
The original source of the dataset (minus the titles, descriptions and audio files) is YouTube Commons:
YouTube-Commons is a collection of audio transcripts of 2,063,066 videos shared on YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Rijgersberg/YouTube-Commons-nl-audio.cantonese-youtube
Cantonese Youtube Pseudo-Transcription Dataset
Contains approximately 10k hours of audio sourced from YouTube
Videos are chosen at random, and scraped on a channel basis
Includes news, vlogs, entertainment, stories, health
Columns
transcript_whisper: Transcribed using Scrya/whisper-large-v2-cantonese with alvanlii/whisper-small-cantonese for speculative decoding
transcript_sensevoice: Transcribed using FunAudioLLM/SenseVoiceSmall
used OpenCC to convert to traditional chinese… See the full description on the dataset page: https://huggingface.co/datasets/alvanlii/cantonese-youtube.youtube-persian-asrThis dataset consists of over 385 hours of audio extracted from various YouTube videos in the Persian language.
Note: This dataset contains raw, unvalidated transcriptions. Users are advised to:
1. Perform their own quality assessment
2. Create their own train/validation/test splits based on their specific needs
3. Validate a subset of the data if needed for their use caseyoutube_transcriptions
Dataset Description
A speech dataset of Uzbek language audio clips sourced from YouTube videos. Audio segments were extracted, separated by speaker using vocal isolation, and transcribed using Google's Gemini 2.0 Flash model. Speaker identities were clustered using ECAPA-TDNN embeddings.
Use Cases
Automatic Speech Recognition (ASR) for Uzbek
Text-to-Speech (TTS) synthesis for Uzbek
Fine-tuning speech models on Uzbek language data (e.g., Qwen3-TTS)
Speaker-conditioned TTS… See the full description on the dataset page: https://huggingface.co/datasets/openbank-uz/youtube_transcriptions.news_youtube_uzbek_speech_dataset
News Youtube Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with differenent dialects. The data was collected from publicly available news videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Kunuz, Qalampir YouTube channels. The data was transcribed using Gemini 2.5 Pro and was intelligently… See the full description on the dataset page: https://huggingface.co/datasets/islomov/news_youtube_uzbek_speech_dataset.YouTube-Cantonese
Cantonese Audio Dataset from YouTube
This dataset contains Cantonese audio segments and creator uploaded transcripts (likely higher quality) extracted from various YouTube channels, along with corresponding transcript metadata. The data is intended for training automatic speech recognition (ASR) models.
Data Source and Processing
The data was obtained through the following process:
Download: Audio (.m4a) and available Cantonese subtitles (.srt for zh-TW, zh-HK, zh-Hant)… See the full description on the dataset page: https://huggingface.co/datasets/OrcinusOrca/YouTube-Cantonese.vi-asr-youtube-1582h
vi-asr-youtube-1693h
Bo du lieu ASR tieng Viet cat tu audio YouTube. Nhan sinh boi MAI-Transcribe-2
(Azure Speech) voi timestamp muc tu, loc bang mot model Zipformer doc lap.
So doan
694,936
Tong thoi luong
1,693.4 gio
Dinh dang
MP3 64 kbps, 16 kHz, mono
Video nguon
7,683
Kenh
13
Loai cat
So doan
Gio
Do dai TB
Muc dich
long
493,045
1,439.9
10.5 s
Doc dai lien tuc
short
201,891
253.6
4.5 s
Dictation, cau ngan
Cau truc… See the full description on the dataset page: https://huggingface.co/datasets/anhtunguyen98/vi-asr-youtube-1582h.it_youtube_uzbek_speech_dataset
IT Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language and with some english to better generalization. The data was collected from publicly available videos on YouTube related to the Information Technology (IT) field. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Mohir Dev YouTube channel (respect to the team for… See the full description on the dataset page: https://huggingface.co/datasets/islomov/it_youtube_uzbek_speech_dataset.podcasts_tashkent_dialect_youtube_uzbek_speech_dataset
Tashkent dialect focused podcasts youtube uzbek speech
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with mostly tashkent dialects. The data was collected from publicly available podcast videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Jahongir Latipov interviews and Bu podcast (respect authors) YouTube videos. The… See the full description on the dataset page: https://huggingface.co/datasets/islomov/podcasts_tashkent_dialect_youtube_uzbek_speech_dataset.asr-farsi-youtube-chunked-30-seconds
How To Use
from datasets import load_dataset
train = load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='train+val')
test =load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='test')
+300 Hours ASR dataset generated from this kaggle dataset
youtube-farsi
📚 Unified Persian YouTube ASR Dataset (msghol/youtube-farsi)
This dataset is an enhanced and user-ready version of PerSets/youtube-persian-asr, restructured for seamless integration with Hugging Face Dataset Viewer and downstream ASR pipelines. It simplifies the data format by combining audio and transcription into unified records, removing the need for preprocessing scripts.
🔍 Overview
The dataset provides Persian-language audio-transcription pairs sourced from… See the full description on the dataset page: https://huggingface.co/datasets/MohammadGholizadeh/youtube-farsi.news_youtube_uzbek_speech_dataset
News Youtube Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with differenent dialects. The data was collected from publicly available news videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Kunuz, Qalampir YouTube channels. The data was transcribed using Gemini 2.5 Pro and was intelligently… See the full description on the dataset page: https://huggingface.co/datasets/azimislom/news_youtube_uzbek_speech_dataset.news_youtube_uzbek_speech_dataset
News Youtube Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with differenent dialects. The data was collected from publicly available news videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Kunuz, Qalampir YouTube channels. The data was transcribed using Gemini 2.5 Pro and was intelligently… See the full description on the dataset page: https://huggingface.co/datasets/BoburAmirov/news_youtube_uzbek_speech_dataset.news_youtube_uzbek_speech_dataset
News Youtube Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with differenent dialects. The data was collected from publicly available news videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Kunuz, Qalampir YouTube channels. The data was transcribed using Gemini 2.5 Pro and was intelligently… See the full description on the dataset page: https://huggingface.co/datasets/hostbot77/news_youtube_uzbek_speech_dataset.catalan-youtube-speech
Catalan YouTube Speech Corpus
This dataset contains 231,684 short audio clips of spontaneous Catalan speech, automatically extracted from public YouTube videos. Each clip is paired with two independent machine-generated transcription candidates, along with speaker gender, clip timing, and the source video's reuse license. It was built and published by Softcatalà, the volunteer organization behind free/open-source Catalan-language software.
Homepage: https://www.softcatala.org/… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/catalan-youtube-speech.phonon-youtube-technical
phonon-youtube-technical
This dataset contains Phonon-authored manifests, labels, term/context indexes,
attribution, and local rebuild scripts for technical YouTube speech data.
It intentionally contains no audio files.
Contents
manifests/: segment timing, source URL, video ID, YouTube-reported license,
and audio SHA-256 references.
labels/: Phonon-authored label queues and teacher metadata.
term_context_indexes/: technical term/context indexes used for analysis… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/phonon-youtube-technical.distilled-catalan-youtube-speechThe Distilled Catalan YouTube Speech Corpus is the result of the automatic validation of the original
Catalan YouTube Speech Corpus created by SoftCatala and shared trhough this HF repo:
https://huggingface.co/datasets/softcatala/catalan-youtube-speech
The corpus is -distilled- because only recordings with a high certaintity to be correct were taken
and the rest were rejected.YouTube_Video_Transkriptleri_TR
Dataset Summary
This dataset consists of nearly 5 hours of video from over 40 Creative Commons-licensed videos on YouTube. The videos contain the voices of more than 100 different people. The audio files have been resampled to 16 kHz. The videos have been divided into chunks of up to 25 seconds. This dataset is intended for developing Turkish STT (Speech-to-Text) models.
Datasets Preparetion
The audio files and transcript data were scraped from YouTube. The scraped… See the full description on the dataset page: https://huggingface.co/datasets/Anilosan15/YouTube_Video_Transkriptleri_TR.YouTube-English
English Audio Dataset from YouTube
This dataset contains English audio segments and creator uploaded transcripts (likely higher quality) extracted from various YouTube channels, along with corresponding transcript metadata. The data is intended for training automatic speech recognition (ASR) models.
Data Source and Processing
The data was obtained through the following process:
Download: Audio (.m4a) and available English subtitles (.srt for en, en.j3PyPqV-e1s) were… See the full description on the dataset page: https://huggingface.co/datasets/OrcinusOrca/YouTube-English.youtube_casual_audio\tajik-asr-youtube
tajik-asr-youtube
Every Tajik-language clip from this project's YouTube scrape — 41 channels of news, talk
shows, podcasts, audiobooks, and learning content — with machine transcripts and the
verification scores left in as columns instead of applied as a filter. Pick your own
quality threshold; the training corpus this project actually ships
(tajik-asr-corpus-v3)
is the gated subset.
Layout
Parquet shards under data/ with an audio struct column (16 kHz mono FLAC… See the full description on the dataset page: https://huggingface.co/datasets/Peacockery/tajik-asr-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.phonon-youtube-cc-audio
phonon-youtube-cc-audio
This dataset contains the Creative-Commons subset of the Phonon technical
YouTube speech corpus with audio segments included. It includes only source
videos reported by yt-dlp as Creative Commons licensed and carries per-video
attribution and license fields.
Contents
audio/: 16 kHz mono WAV segment files.
manifests/segments.jsonl: one row per segment with local audio path,
source URL, video ID, segment timing, SHA-256, and per-video… See the full description on the dataset page: https://huggingface.co/datasets/Infatoshi/phonon-youtube-cc-audio.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.it_youtube_uzbek_speech_dataset
IT Uzbek Speech Dataset
Dataset Description
This dataset contains audio clips and their corresponding transcriptions in the Uzbek language and with some english to better generalization. The data was collected from publicly available videos on YouTube related to the Information Technology (IT) field. It is designed for training and evaluating Automatic Speech Recognition (ASR) models.
Most of the content comes from the Mohir Dev YouTube channel (respect to the team for… See the full description on the dataset page: https://huggingface.co/datasets/BoburAmirov/it_youtube_uzbek_speech_dataset.hindi-youtube-asr-transcripts
Hindi YouTube ASR Transcripts
Auto-generated YouTube transcripts (VTT) from 21 Hindi channels for training ASR and TTS models.
Quick Start
# Download and extract
wget https://huggingface.co/datasets/ketav/hindi-youtube-asr-transcripts/resolve/main/youtube_asr_data.tar.gz
tar -xzf youtube_asr_data.tar.gz
Stats
Metric
Value
Channels
21
Total videos
109,981
Total hours
22,186.3
Hindi subtitles
98,309
Usable hours
19,032.5
Period
2025-2026… See the full description on the dataset page: https://huggingface.co/datasets/ketav/hindi-youtube-asr-transcripts.