datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yodas2_sidon
YODAS2-Sidon
Overview
This dataset is a cleansed version of YODAS-2 with Sidon speech restoration mode for Speech Synthesis and Spoken Language Modeling.
YODAS-2 is a massive, multilingual YouTube-derived dataset. We have applied the Sidon restoration model to remove background noise and enhance audio quality, making it suitable for high-quality generation tasks.
We resampled original sidon output to 24kHz due to a storage constraints.
The dataset is provided in… See the full description on the dataset page: https://huggingface.co/datasets/sarulab-speech/yodas2_sidon.mls_sidon
MLS-Sidon
Overview
This dataset is a cleansed version of Multilingual LibriSpeech (MLS) with Sidon speech restoration mode for Speech Synthesis and Spoken Language Modeling.
The dataset is provided in WebDataset format for efficient large-scale training.
Source: Multilingual LibriSpeech
Languages: English, German, French, Spanish, Italian, Polish, Dutch, Portuguese
Format: WebDataset (.tar shards)
License: CC-BY-4.0
Dataset Structure
Each sample in… See the full description on the dataset page: https://huggingface.co/datasets/sarulab-speech/mls_sidon.gigaspeech2
Dataset Card for GigaSpeech 2
Dataset Description
GigaSpeech 2 is an evolving, large-scale, multi-domain, and multilingual ASR corpus focusing on low-resource languages. GigaSpeech 2 raw comprises about 30,000 hours of automatically transcribed speech, across Thai, Indonesian, and Vietnamese. GigaSpeech 2 refine consists of 10,000 hours of Thai, 6,000 hours each for Indonesian and Vietnamese.
Repository: https://github.com/SpeechColab/GigaSpeech2
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/speechcolab/gigaspeech2.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.Galgame_Speech_SER_16kHz
Dataset Card for Galgame_Speech_SER_16kHz
[!IMPORTANT]The following rules (in the original repository) must be followed:
必须遵守GNU General Public License v3.0内的所有协议！附加：禁止商用，本数据集以及使用本数据集训练出来的任何模型都不得用于任何商业行为，如要用于商业用途，请找数据列表内的所有厂商授权（笑），因违反开源协议而出现的任何问题都与本人无关！
训练出来的模型必须开源，是否在README内引用本数据集由训练者自主决定，不做强制要求。
English:
You must comply with all the terms of the GNU General Public License v3.0!Additional note: Commercial use is prohibited. This dataset and any model trained using this dataset… See the full description on the dataset page: https://huggingface.co/datasets/litagin/Galgame_Speech_SER_16kHz.reazon-speech-v2-clone
Reazon Speech v2 dataset mirror
Original Dataset Source
Hugging Face Dataset Page: reazon-research/reazonspeech
Project Page: Reazon Research
License
This dataset is a mirror of the original Reazon Speech v2 dataset, but on 🤗 server (so may be faster). This dataset is licensed under the CDLA-Sharing-1.0. The original dataset comes with the following restriction:
TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF… See the full description on the dataset page: https://huggingface.co/datasets/litagin/reazon-speech-v2-clone.unsupervised_peoples_speech_raw_voice_activity_detection_snippets_part_1qwen3-tts-multilingual-emotional-speechGalgame_Speech_ASR_16kHz
Dataset Card for Galgame_Speech_ASR_16kHz
[!IMPORTANT]The following rules (in the original repository) must be followed:
必须遵守GNU General Public License v3.0内的所有协议！附加：禁止商用，本数据集以及使用本数据集训练出来的任何模型都不得用于任何商业行为，如要用于商业用途，请找数据列表内的所有厂商授权（笑），因违反开源协议而出现的任何问题都与本人无关！
训练出来的模型必须开源，是否在README内引用本数据集由训练者自主决定，不做强制要求。
English:
You must comply with all the terms of the GNU General Public License v3.0!Additional note: Commercial use is prohibited. This dataset and any model trained using this dataset… See the full description on the dataset page: https://huggingface.co/datasets/litagin/Galgame_Speech_ASR_16kHz.speech_400kmulti_round_speech_180kreprocessed_singapore_national_speech_corpus
Dataset Card for Reprocessed National Speech Corpus
NOTE: This is an Reprocessed version KaraKaraWitch from Recursal.The official download can be found here.
Dataset Details
Dataset Description
Dataset Description:
The National Speech Corpus (NSC) is the first large-scale Singapore English corpus, sponsored by the Info-communications and Media Development Authority (IMDA) of Singapore. The objective is to serve as a primary resource of open speech data for… See the full description on the dataset page: https://huggingface.co/datasets/recursal/reprocessed_singapore_national_speech_corpus.emo_speech_filtered_v12 second filtered emotional speech in webdataset format
https://huggingface.co/datasets/EQ4You/Emotional_Speech
speech_text-tts_audiospeech_dataspeech-utterances
Speech Utterances Dataset Collection
A collection of human non-speech vocal sound datasets in WebDataset format, useful for audio classification tasks involving vocal expressions, emotions, and non-verbal sounds.
Subsets
all (default)
All datasets concatenated together (~75k samples total).
NonSpeech7k
Samples: 7,014 (train: 6,289, test: 725)
Classes: Breathing, Coughing, Crying, Laughing, Screaming, Sneezing, Yawning
Source: Zenodo
License: CC… See the full description on the dataset page: https://huggingface.co/datasets/gijs/speech-utterances.Multilingual_Speech_Dataset
Multilingual Speech Dataset
Paper: A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
Repository: https://github.com/IS2AI/MultilingualASR
Description: This repository provides the dataset used in the paper "A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English". The paper focuses on training a single end-to-end (E2E) ASR model for Kazakh, Russian, and English, comparing monolingual and multilingual approaches… See the full description on the dataset page: https://huggingface.co/datasets/issai/Multilingual_Speech_Dataset.stortinget_speech_corpus_v1.0
Dataset Card for Stortinget Speech Corpus V1.0
Overview
This is the WebDataset version of the Stortinget Speech Corpus V1.0, originally created by the National Library of Norway. We re-organize it into WebDataset format for better usability.
The Stortinget Speech Corpus (SSC) is a 5000+ hours speech dataset for weak supervision ASR created from audio andaligned proceedings text from Stortinget, the Norwegian Parliament. For more information, please refer to the original… See the full description on the dataset page: https://huggingface.co/datasets/Aalto-Speech-Synthesis/stortinget_speech_corpus_v1.0.multi_accent_speech
Multi-Accent English Speech Corpus (Augmented & Speaker-Disjoint)
This dataset is a curated and augmented multi-accent English speech corpus designed for speech recognition, accent classification, and representation learning.It consolidates multiple open-source accent corpora, converts all audio to a unified format, applies targeted data augmentation, and exports in a tidy, Hugging Face–ready structure.
✨ Key Features
Accents covered (12 total):american_english… See the full description on the dataset page: https://huggingface.co/datasets/cagatayn/multi_accent_speech.myanmar-english-accent-speech
Myanmar English Accent Speech (PVTV & FOEIM)
This dataset contains English speech by Myanmar speakers, collected from public videos published by PVTV and FOEIM — two media channels operating under the National Unity Government (NUG).
The clips reflect a wide range of spoken English contexts: interviews, announcements, sermons, and educational content. The speakers vary in tone, pace, and emotion — but all share the characteristic sound of Burmese-accented English.
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/freococo/myanmar-english-accent-speech.english-casual-speech-sample-south-african-accent
English Casual Speech Sample (South African Accent)
South African crowd-sourced participants respond to questions about their daily lives and activities.
This dataset is a sample of a larger collection from the same data collection campaign.
Changelog
FEB 2026: initial share. ASR (Chirp3) transcripts. WER: 12%
Specs
Speakers: ~550 unique South African speakers
Total duration: ~60 hours
Files sample rate: 48kHz
Actual sample rate: TBD
Language: English (SA… See the full description on the dataset page: https://huggingface.co/datasets/Reord-AI/english-casual-speech-sample-south-african-accent.Speech-IFEvalefficient-speech-codec
Efficient Speech Codec
Paper
Code
Demo Page
mozilla-common-voice-spontaneous-speech-asr-shared-task
Mozilla Common Voice Spontaneous Speech ASR Shared Task
This repository combines the Mozilla Data Collective Common Voice spontaneous speech ASR shared-task
train/dev and test archives in one place.
Locales present across the combined train/dev and test packages: ady, aln, bas, bew, bxk,
cgg, el-CY, hch, kbd, kcn, koo, led, lke, lth, meh, mmc, pne, qxp, ruc,
rwm, sco, tob, top, ttj, ukv, ush.
Split package
Mozilla Data Collective dataset ID
Hub archive
Original MDC archive… See the full description on the dataset page: https://huggingface.co/datasets/Peacockery/mozilla-common-voice-spontaneous-speech-asr-shared-task.speech_datatsetlj_speechcommon-voice-scripted-speech-24.0-mongolianspeech-utterances
Speech Utterances Dataset Collection
A collection of human non-speech vocal sound datasets in WebDataset format, useful for audio classification tasks involving vocal expressions, emotions, and non-verbal sounds.
Subsets
all (default)
All datasets concatenated together (~75k samples total).
NonSpeech7k
Samples: 7,014 (train: 6,289, test: 725)
Classes: Breathing, Coughing, Crying, Laughing, Screaming, Sneezing, Yawning
Source: Zenodo
License: CC… See the full description on the dataset page: https://huggingface.co/datasets/zuhri025/speech-utterances.speechdialogue_dataspeech_40k