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")
wav2vec2_common_voice_accents_3common_voice_21_0_minicommon-voice-scripted-speech-26
Common Voice Scripted Speech
A row-normalized multilingual ASR dataset built from Mozilla Data Collective
Common Voice Scripted Speech. Each upstream archive is converted to appendable
parquet shards under data/<upstream_split>/, one shard per source archive and
split, with audio bytes embedded in an audio struct column.
Status
Manifest languages: 60
Languages uploaded: 18
Columns
audio (bytes, path)
sentence, locale, language, upstream_split… See the full description on the dataset page: https://huggingface.co/datasets/Peacockery/common-voice-scripted-speech-26.commonvoice22_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.common_voice_10_1_th_augmented_pitch
Dataset Card for "common_voice_10_1_th_augmented_pitch"
More Information needed
CommonVoice-POSTPROCESS-f0ecfc0ccommonvoice22-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.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.VIVOS_CommonVoice_FOSD_Control_processed_dataset
Dataset Card for "VIVOS_CommonVoice_FOSD_Control_processed_dataset"
More Information needed
Custom_common_voice_dataset_using_RVC
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Custom common_voice_v11 corpus with a custom voice was was created using RVC(Retrieval-Based Voice Conversion)
The model underwent 200 epochs of training, utilizing a total of 1 hour of audio clips. The data was scraped from Youtube.
The audio in the custom generated dataset is of a YouTuber named
Ajay Pandey
Description
license: cc0-1.0
language:
- hi… See the full description on the dataset page: https://huggingface.co/datasets/Aniket-Tathe-08/Custom_common_voice_dataset_using_RVC.common_voice_10_1_th_clean_split_0_old
Dataset Card for "common_voice_10_1_th_clean_split_0"
More Information needed
common-voice-17-en-age-gender-accentcommon_voice_17_0_timestampscommon_voice_16_1_hi_pseudo_labelledcommon_voice_10_1_th_clean_split_1
Dataset Card for "common_voice_10_1_th_clean_split_1_fix_spacial_char"
More Information needed
mixed_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_labelledpreprocessed_jsut_jsss_css10_common_voice_11
Dataset Card for "preprocessed_jsut_jsss_css10_common_voice_11"
More Information needed
common_voice_10_1_th_clean_split_0
Dataset Card for "common_voice_10_1_th_clean_split_0_fix_spacial_char"
More Information needed
common_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_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_22_yue2025-08-03 Update:
Use MP3 instead of WAV
All Right reserved by mozilla-foundation
common-voice-17-farsicommon_voice_10_1_th_clean_split_3_augment_old
Dataset Card for "common_voice_10_1_th_clean_split_3_augment"
More Information needed
common-voice-subset-for-clap