datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
common_voice_17_0uyghur-common-voice-tts
Uyghur Common Voice TTS Dataset
A cleaned and processed Text-to-Speech (TTS) dataset for the Uyghur language, derived from Mozilla Common Voice.
Dataset Summary
Property
Value
Language
Uyghur (ug)
Total Samples
43,054
Train Samples
40,901
Validation Samples
2,153
Audio Format
WAV
Source
Mozilla Common Voice
License
CC0-1.0
Dataset Structure
/
├── train.jsonl # Training data (40,901 samples)
├── val.jsonl #… See the full description on the dataset page: https://huggingface.co/datasets/anke01/uyghur-common-voice-tts.common_voice_16_0common-voice-13-faThe Persian portion of the original CommonVoice 13 dataset at https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0
Load
# Using HF Datasets
from datasets import load_dataset
dataset = load_dataset("hezarai/common-voice-13-fa", split="train")
# Using Hezar
from hezar.data import Dataset
dataset = Dataset.load("hezarai/common-voice-13-fa", split="train")
wikimedia-common-audio-catalanThis is a collection of Catalan-language audio with free licenses extracted from Wikimedia Commons.
License identifiers are normalized to cc-zero, cc-by-4.0,
cc-by-sa-3.0, cc-by-sa-4.0, GFDL, and PD-self.
This provides a richer alternative to Common Voice.
Characteristics of the dataset:
One or multiple speakers
Different accents
Different domain texts
761 audio files
We found this dataset useful for audio tasks such as:
Language detection
Evaluation of STT systems
New candidates are… See the full description on the dataset page: https://huggingface.co/datasets/softcatala/wikimedia-common-audio-catalan.common_voice_21_0_minicommonvoice22_sidon
CV22-Sidon
Overview
This dataset hosts a release of Mozilla Common Voice 22 restored with the Sidon speech restoration model.
Source: Mozilla Common Voice 22.0
Processing: Sidon denoising (sarulab-speech/sidon-v0.1) with 21 s chunks and 48 kHz reconstruction
Format: WebDataset shards (.tar.gz)
Manifest: paths.yaml enumerates every shard path for Hugging Face–style loading
License: Original Common Voice license (CC0 1.0)
Languages
137 language folders are… See the full description on the dataset page: https://huggingface.co/datasets/sarulab-speech/commonvoice22_sidon.commonvoice22-sidon-dacvae
CommonVoice 22 (Sidon-enhanced) converted to DAC VAE latents
Source
sarulab-speech/commonvoice22_sidon
Format
Each tar shard (~2GB) contains samples with three files per sample:
{sample_key}.audio.flac # Original audio (FLAC, original sample rate)
{sample_key}.dacvae.npy # DAC VAE latent [T_latent, 128] numpy float32
{sample_key}.metadata.json # All metadata + duration_seconds + chars_per_second
DAC VAE Latent Format
Model:… See the full description on the dataset page: https://huggingface.co/datasets/TTS-AGI/commonvoice22-sidon-dacvae.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.VIVOS_CommonVoice_FOSD_Control_processed_dataset
Dataset Card for "VIVOS_CommonVoice_FOSD_Control_processed_dataset"
More Information needed
CommonVoice22-Sidon-HQ
CommonVoice22-Sidon-HQ
The top-DNSMOS slice of sarulab-speech/commonvoice22_sidon —
Mozilla Common Voice 22.0 restored to 48 kHz by sarulab-speech/sidon-v0.1,
then scored clip-by-clip with DNSMOS P.835 and cut down to only the cleanest utterances.
All 14,946,932 source clips (20,746 h, 2.61 TB of FLAC) were scored;
613,305 (4.1%, 1,021 h) passed and are published here.
Filter
DNSMOS P.835 (speechmos, ONNX) on a single centred 10 s window at 16 kHz… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/CommonVoice22-Sidon-HQ.commonlanguage-age-minicommon_voice_16_1_hi_pseudo_labelledcommon_voice_17_0_timestampscommon-voice-17-en-age-gender-accentmixed_multilingual_commonvoice_all_languages_100kBuild from mozilla commonvoice 13 using the script commited in this repo.
Used to teach a model to ignore languages that are not french
common_voice_13_0_bn_multi_splitcommon_voice_17_0_en_pseudo_labelledcommon_voice_19_0_zh-TW
Common Voice Corpus 19.0 Chinese (Taiwan)
The test set is the same as the original test set, while validated_without_test includes all validated examples except those with sentence IDs that appear in the test set.
validated_without_test has about 50,000 examples in total, equivalent to approximately 44 hours, and is intended for use as the training set.
test has about 5,000 examples, which is approximately 5 hours.
common_voice_22_yue2025-08-03 Update:
Use MP3 instead of WAV
All Right reserved by mozilla-foundation
common-voice-17-farsicommon_voice_16_1_hi_pseudo_labelledcommon_voice_22_0
Common Voice Corpus 22.0
Originally from https://huggingface.co/datasets/fsicoli/common_voice_22_0, we mirror using multiple zip files also trimmed the silents.
How to prepare the dataset
huggingface-cli download --repo-type dataset \
--include '*.zip' \
--local-dir './' \
--max-workers 20 \
malaysia-ai/common_voice_22_0
wget https://gist.githubusercontent.com/huseinzol05/2e26de4f3b29d99e993b349864ab6c10/raw/9b2251f3ff958770215d70c8d82d311f82791b78/unzip.py
python3… See the full description on the dataset page: https://huggingface.co/datasets/malaysia-ai/common_voice_22_0.Common-Voice-17-Jamozilla_commonvoice_hackathon_preprocessed_train_batch_3
Dataset Card for "mozilla_commonvoice_hackathon_preprocessed_train_batch_3"
More Information needed
common_voice_15common-voice-subset-for-clapcommon-voice-17-en-age-gendercommon-voice-18-arabic
Dataset Card for Common Voice 18 – Arabic Edition
Dataset Summary
This dataset is an unofficial Arabic-only extraction of Mozilla Common Voice Corpus 18.0, prepared for Automatic Speech Recognition (ASR) research and development.
It is derived from the original Common Voice 18 release and filtered to include Arabic (ar) speech data only, while preserving the original dataset structure, splits, and metadata fields. The dataset consists of validated, unvalidated, and… See the full description on the dataset page: https://huggingface.co/datasets/MohamedRashad/common-voice-18-arabic.commonvoice_train_gender_accent_16k
Dataset Card for "commonvoice_train_gender_accent_16k"
More Information needed