datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
genshin-voices-separatedcommon_voice_17_0VOMEBOOK
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/VOMEBOOK/discussions 提出。
此仓库存储马列之声电子书：https://huggingface.co/datasets/VoiceOfML/VOMEBOOK/tree/main 。
请使用：https://voiceofml-search.hf.space/VOMEBOOK 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/VOMEBOOK ）。
可使用：https://voiceofml-search.hf.space/VOMEBOOK?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/VOMEBOOK?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want to clone without large files - just their… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/VOMEBOOK.common_voice_15_0
Dataset Card for Common Voice Corpus 15.0
This dataset is an unofficial version of the Mozilla Common Voice Corpus 15. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
Languages
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech… See the full description on the dataset page: https://huggingface.co/datasets/fsicoli/common_voice_15_0.common_voice_22_0
Dataset Card for Common Voice Corpus 22.0
This dataset is an unofficial version of the Mozilla Common Voice Corpus 22. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
Languages
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech… See the full description on the dataset page: https://huggingface.co/datasets/fsicoli/common_voice_22_0.voicehub-arena-seed-tts-eval
VoiceHub Arena — native TTS evaluations
Incrementally published generated audio and WER, CER, DNSMOS, WavLM-large ECAPA
speaker SIM and UTMOS22 measurements. The full campaign is still running.
Each generation method is evaluated separately using its publisher's native API.
Full evaluations contain all 1,088 English Seed-TTS-Eval targets; eight-target
diagnostic pilots are stored separately and must not be treated as full scores.
Interactive demo ·
Source code
Layout… See the full description on the dataset page: https://huggingface.co/datasets/VoiceHub/voicehub-arena-seed-tts-eval.common_voiceCommon Voice is Mozilla's initiative to help teach machines how real people speak.
The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages.common_voice_17_0
Dataset Card for Common Voice Corpus 17.0
This dataset is an unofficial version of the Mozilla Common Voice Corpus 17. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
Languages
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech… See the full description on the dataset page: https://huggingface.co/datasets/fsicoli/common_voice_17_0.genshin-voice
Genshin Voice
Genshin Voice is a dataset of voice lines from the popular game Genshin Impact.
Hugging Face 🤗 Genshin-Voice
ModelScope Genshin-Voice
Per-speaker downloads are grouped by language and ZIP size. Browse every archive in the ZIP index.
Last update at 2026-08-13
654252 wavs
7291 without speaker (1%)
52693 without transcription (8%)
1088 without inGameFilename (0%)
Dataset Details
Dataset Description
The dataset contains voice lines… See the full description on the dataset page: https://huggingface.co/datasets/simon3000/genshin-voice.common_voice_16_0
Dataset Card for Common Voice Corpus 16.0
This dataset is an unofficial version of the Mozilla Common Voice Corpus 16. It was downloaded and converted from the project's website https://commonvoice.mozilla.org/.
Languages
Abkhaz, Albanian, Amharic, Arabic, Armenian, Assamese, Asturian, Azerbaijani, Basaa, Bashkir, Basque, Belarusian, Bengali, Breton, Bulgarian, Cantonese, Catalan, Central Kurdish, Chinese (China), Chinese (Hong Kong), Chinese (Taiwan), Chuvash, Czech… See the full description on the dataset page: https://huggingface.co/datasets/fsicoli/common_voice_16_0.Teachers
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/Teachers/discussions 提出。
此仓库存储导师著作：https://huggingface.co/datasets/VoiceOfML/Teachers/tree/main 。
请使用：https://voiceofml-search.hf.space/Teachers 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/Teachers ）。
可使用：https://voiceofml-search.hf.space/Teachers?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/Teachers?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want to clone without large files - just their… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/Teachers.E2A-Voicesvoicebench
License
The dataset is available under the Apache 2.0 license.
Citation
If you use the VoiceBench dataset in your research, please cite the following paper:
@article{chen2024voicebench,
title={VoiceBench: Benchmarking LLM-Based Voice Assistants},
author={Chen, Yiming and Yue, Xianghu and Zhang, Chen and Gao, Xiaoxue and Tan, Robby T. and Li, Haizhou},
journal={arXiv preprint arXiv:2410.17196},
year={2024}
}
MLMRL-Library
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/discussions 提出。
此仓库存储重要书库备份：https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/tree/main 。
请使用：https://voiceofml-search.hf.space/MLMRL-Library 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/MLMRL-Library ）。
可使用：https://voiceofml-search.hf.space/MLMRL-Library?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/MLMRL-Library?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want to clone… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/MLMRL-Library.common_voice_21_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.SovMaterials
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/SovMaterials/discussions 提出。
此仓库存储苏联资料：https://huggingface.co/datasets/VoiceOfML/SovMaterials/tree/main 。
请使用：https://voiceofml-search.hf.space/SovMaterials 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/SovMaterials ）。
可使用：https://voiceofml-search.hf.space/SovMaterials?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/SovMaterials?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want to clone without… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/SovMaterials.MLMRL-Hub
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/MLMRL-Hub/discussions 提出。
此仓库存储马列毛主义与革命左翼仓储中心和图书馆的未重复资料（仅经一次md5检测，压缩包内容未去重。）：https://huggingface.co/datasets/VoiceOfML/MLMRL-Hub/tree/main 。
请使用https://voiceofml-search.hf.space/MLMRL-Hub 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/MLMRL-Hub ）。
可使用：https://voiceofml-search.hf.space/MLMRL-Hub?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/MLMRL-Hub?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/MLMRL-Hub.portuguese-male-voice-A-datasetgenshin-voice-v3.3-mandarin
Dataset Card for Genshin Voice
Dataset Description
Dataset Summary
The Genshin Voice dataset is a text-to-voice dataset of different Genshin Impact characters unpacked from the game.
Languages
The text in the dataset is in Mandarin.
Dataset Creation
Source Data
Initial Data Collection and Normalization
The data was obtained by unpacking the Genshin Impact game.
Who are the source language producers?
The… See the full description on the dataset page: https://huggingface.co/datasets/hanamizuki-ai/genshin-voice-v3.3-mandarin.VoiceAgentBench
VoiceAgentBench
This repository contains dataset for VoiceAgentBench, a large-scale speech benchmark introduced in “VoiceAgentBench: Are Voice Assistants Ready for Agentic Tasks?” (arXiv:2510.07978).
VoiceAgentBench is designed to evaluate end-to-end speech-based agents in realistic, tool-driven settings. Unlike prior speech benchmarks that focus on transcription, intent detection, and speech question answering, this benchmark targets agentic reasoning from speech input, requiring… See the full description on the dataset page: https://huggingface.co/datasets/krutrim-ai-labs/VoiceAgentBench.X-Voice-Dataset-Train
X-Voice Training Dataset
Overview
The X-Voice training dataset is a large-scale multilingual speech corpus curated for high-performance speech models. It provides a robust foundation for cross-lingual phonetic and prosodic modeling.
Also the train set of X-Voice Model.
Core Statistics
Total Speech Duration: 420K hours
30 languages
European: bg (Bulgarian), cs (Czech), da (Danish), de (German), el (Greek), en (English), es (Spanish), et (Estonian), fi… See the full description on the dataset page: https://huggingface.co/datasets/XRXRX/X-Voice-Dataset-Train.numberblocks-one-voice-datasetReal_VoiceVoiceAssistant-400Kemolia-thinking
Emolia-Thinking — a VoiceNet-annotated, balanced subset of Emolia
Emolia-Thinking is a richly annotated speech dataset created for the VoiceNet project. It takes a balanced subset of the Emolia corpus — balanced across speaker-embedding clusters and emotion-embedding clusters so that speakers, voices and emotional states are evenly represented rather than dominated by the most common cases — and annotates every clip along the full VoiceNet Extended voice-performance taxonomy… See the full description on the dataset page: https://huggingface.co/datasets/VoiceNet/emolia-thinking.fallout-4-voicescommon_voice_speak_textGPCREducation
仓库信息
电报地址：https://t.me/vomebook ，有问题请在：https://huggingface.co/datasets/VoiceOfML/GPCREducation/discussions 提出。
此仓库存储文化大革命教材：https://huggingface.co/datasets/VoiceOfML/GPCREducation/tree/main 。
请使用：https://voiceofml-search.hf.space/GPCREducation 进行文件检索（备用搜索站：https://vomebook.github.io/search/#/GPCREducation ）。
可使用：https://voiceofml-search.hf.space/GPCREducation?wide=1 进行仓库内容查看（备用站：https://voiceofml-search.hf.space/GPCREducation?wide=1 ）。
你可以仅下载指针（只有文件名的信息）
If you want to clone… See the full description on the dataset page: https://huggingface.co/datasets/VoiceOfML/GPCREducation.common_voice_16_0