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.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.Clotho-Moment
Clotho-Moment
This repository provides wav files used in Language-based Audio Moment Retrieval.
Each sample includes long audio containing some audio events with the temporal and textual annotation.
Project page: https://h-munakata.github.io/Language-based-Audio-Moment-Retrieval/
Code: https://github.com/line/lighthouse
Split
Train
train/train-{000..715}.tar
37930 audio samples
Valid
valid/valid-{000..108}.tar
5741 audio samples
Test
test/test-{000..142}.tar
7569… See the full description on the dataset page: https://huggingface.co/datasets/lighthouse-emnlp2024/Clotho-Moment.audiosnippets_small_with_detailed_annotation2commonvoice22_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.emo_webds_2audiosnippets_long_2_5Mcommonvoice22-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.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.OpenDialog
OpenDialog
OpenDialog is a 6.8k hours spoken dialogue dataset, introduced in the paper ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching.
Paper: https://arxiv.org/abs/2507.09318
GitHub: https://github.com/k2-fsa/ZipVoice
Project Page: https://zipvoice-dialog.github.io
OpenDialog is the first large-scale (6.8k hours) open-source spoken dialogue dataset derived from in-the-wild speech data. It consists of:
English data: 5074 hours
Chinese data: 1759… See the full description on the dataset page: https://huggingface.co/datasets/k2-fsa/OpenDialog.multi_round_speech_180kESpeech-webinars2
Webinar Audio Dataset
Dataset Description
This dataset contains 850 hours processed webinar audio segments with corresponding metadata. Each audio file represents a segment extracted from webinar recordings, processed at 44.1kHz sample rate.
Dataset Summary
Language: Russian
Task: TTS, ASR, Quality Asessment
Audio format: MP3, 44.1kHz sample rate
Structure: Segmented audio files with JSON metadata
Dataset Structure
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/ESpeech/ESpeech-webinars2.Emilia-with-Emotion-Annotations2ht2_44khzcommon_voice_21_ru
Dataset Description
Набор данных validated.tsv отфильтрованный по down_votes = 0
📊 Статистика датасета
Информация по сплитам
🔹 Тренировочный набор (train)
Метрика
Значение
Количество семплов
93,531
Общая продолжительность
132.25 часов (476,089.70 секунд)
Средняя продолжительность семпла
5.09 секунд
🔹 Валидационный набор (validate)
Метрика
Значение
Количество семплов
38,836
Общая продолжительность
55.21… See the full description on the dataset page: https://huggingface.co/datasets/Sh1man/common_voice_21_ru.speech_text-tts_audioAudiobook_Noice_V2cosyvoice2_encommon_voice_21_0_yuecantonese only
TMD2-Datavoice-annotation-data-v2
Voice Annotation Data v2
A curated dataset of 18,632 audio samples (9,391 positives + 9,241 negatives) across 58 voice dimensions. Each bucket contains up to 25 positive examples (audio that clearly fits the bucket) and 25 negative examples (audio confirmed to NOT fit the bucket by Gemini 2.0 Flash).
Changes from v1
Positive + Negative pairs: Every bucket now has up to 25 confirmed negative examples alongside 25 positives
EXPL redefined: Content Appropriateness reduced… See the full description on the dataset page: https://huggingface.co/datasets/TTS-AGI/voice-annotation-data-v2.voxceleb2-40k-part1-preprocess-all-files-separateaudio_swedish_2_dataset_cleanedASV_Spoof_2019_LA_SNR_50MBmusdb18hqai-generated-songs2ai-m-2urdu-turn-detection-audio-v2
🗣️ Urdu Turn Detection (Audio Dataset V2)
This is the official dataset for the model [PuristanLabs1/urdu-turn-v2](https://huggingface.co/PuristanLabs1/urdu-turn-v2), a high precision, low latency system for detecting the end of a conversational turn in Urdu speech.
It contains 11,479 audio clips (balanced between Complete and Incomplete) specifically designed to train robust models for realtime Voice AI applications like "Smart Turn" or "Barge-in" detection.
🚀 How… See the full description on the dataset page: https://huggingface.co/datasets/PuristanLabs1/urdu-turn-detection-audio-v2.multilingual-test-distill-strong-tts-20260520
Multilingual Test Distill Strong TTS 20260520
This repository contains a distributable tar-sharded version of multilingual_test_distill_strong_tts_20260520.
The dataset follows the local voice_dataset/data layout after extraction:
data/csvs/metadata_zh.csv
data/csvs/metadata_en.csv
data/csvs/metadata_ja.csv
data/csvs/metadata_ko.csv
data/zh/**/*.wav
data/en/**/*.wav
data/ja/**/*.wav
data/ko/**/*.wav
Metadata format:
file_path|duration|dnsmos|text
dnsmos is intentionally blank… See the full description on the dataset page: https://huggingface.co/datasets/guangzhaoli/multilingual-test-distill-strong-tts-20260520.emoji-tts-22k
Emoji-TTS 22K Training Data
Emoji-TTS 22K is the training corpus used to build Emoji-TTS, an emoji-conditioned expressive text-to-speech model. Each example pairs an English transcript, an emoji control label, and a synthetic WAV utterance spoken with the fixed Kore voice.
The corpus contains 21,940 utterances: 19,945 emoji-conditioned samples and 1,995 neutral/no-emoji samples. The control inventory covers ten emoji labels plus the neutral <none> label.
How It Was Built… See the full description on the dataset page: https://huggingface.co/datasets/emoji-tts/emoji-tts-22k.