datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.zenless-voice
Zenless Voice
Zenless Voice is a dataset of voice lines from the popular game Zenless Zone Zero.
Hugging Face 🤗 Zenless-Voice
ModelScope Zenless-Voice
Per-speaker downloads are grouped by language and WAV count. Browse every archive in the ZIP index.
Last update at 2026-09-17, game version 3.2.0
406720 wavs
78785 without speaker (19%)
123429 without transcription (30%)
83509 without inGameFilename (21%)
Speaker archives contain 327,935 WAVs in 4,322 ZIPs. The 78,785 rows… See the full description on the dataset page: https://huggingface.co/datasets/simon3000/zenless-voice.genshin-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.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.emolia-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.common-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")
Voices-in-the-Wild-2M
Voices in the Wild
Project Page | Paper | GitHub
Voices in the Wild (Voices-in-the-Wild-2M) is a large-scale automatic speech recognition (ASR) dataset designed for robustness training and evaluation under diverse, real-world acoustic conditions. It covers 7 classic acoustic phenomena (including noise, far-field speech, obstruction, echo/reverberation, recording artifacts, electronic distortion, and transmission dropout) and 54 physically plausible compound scenarios.
The… See the full description on the dataset page: https://huggingface.co/datasets/zhifeixie/Voices-in-the-Wild-2M.voicehub-arena-seed-tts-eval
VoiceHub Arena — full English Seed-TTS-Eval
35,904 synthesized WAV files: 33 model families × the same 1,088 target texts.
The campaign completed on 15 September 2026 on one NVIDIA A100-SXM4 40 GB.
All 198 shards and every WAV SHA256 were verified after backup.
Interactive leaderboard and all audio samples
· Source repository (access required).
Contents
audio_shards/<model>.tar: 33 WebDataset shards, each containing 1,088 original WAVs and matching JSON metadata.… See the full description on the dataset page: https://huggingface.co/datasets/kadirnar/voicehub-arena-seed-tts-eval.starrail-voice
StarRail Voice
StarRail Voice is a dataset of voice lines from the popular game Honkai: Star Rail.
Hugging Face 🤗 StarRail-Voice
ModelScope StarRail-Voice
Last update at 2026-07-16, game version 4.4.0
403437 wavs
60164 without speaker (15%)
61375 without transcription (15%)
57869 without inGameFilename (14%)
Dataset Details
Dataset Description
The dataset contains voice lines from the game's characters in multiple languages, including Chinese… See the full description on the dataset page: https://huggingface.co/datasets/simon3000/starrail-voice.dialectal-arabic-voices
Dialectal Arabic Voices
An expanding collection of Arabic audio from YouTube, SoundCloud, and other sources. Currently labelled Palestinian Arabic (ps).
49,951 recordings · approximately 9,169.6 hours · 481.10 GB
Column
Description
audio
Original audio, embedded in the Parquet file
transcript_text
Empty for now; ASR transcripts will be added later
language
Dialect code: ps (Palestinian)
source
Original channel or account name
Audio retains its original… See the full description on the dataset page: https://huggingface.co/datasets/moaead/dialectal-arabic-voices.voiceNam
Dataset Tiếng Việt (Voice Nữ)
Đây là bộ dữ liệu bao gồm file âm thanh và transcript tương ứng, được sử dụng cho việc train mô hình TTS (Text-to-Speech).
Cấu trúc dữ liệu
audio: File âm thanh (.wav)
text: Nội dung văn bản tương ứng
Cách sử dụng
from datasets import load_dataset
dataset = load_dataset("doduy1911/voiceNamNam", split="train")
# Nghe thử mẫu đầu tiên
print(dataset[0]["text"])
mucky-voice-final
Mucky Voice – Deutscher Einzelsprecher-Sprachdatensatz
Ein kuratierter deutscher Sprachdatensatz mit Aufnahmen meiner eigenen Stimme.
Der Datensatz enthält 11.817 geprüfte Audio-Text-Paare mit einer gesamten nutzbaren Sprachdauer von 43 Stunden, 43 Minuten und 37,1 Sekunden.
Er eignet sich insbesondere für:
deutsches Text-to-Speech-Training
Sprecheranpassung und Voice Cloning
automatische Spracherkennung
Forschung zu spontaner Sprache
Sprachbereinigung und Aussprachemodelle… See the full description on the dataset page: https://huggingface.co/datasets/Muckylixx/mucky-voice-final.genshin-voice-v3.5-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-v3.5-mandarin.za-african-next-voices
Swivuriso: ZA-African Next Voices
Swivuriso is a large-scale multilingual speech dataset targeting over 3000 hours of audio across 7 South African languages. The dataset is developed to support Automatic Speech Recognition (ASR) and inclusive speech technologies for low-resource African languages. It combines both scripted and unscripted speech, collected through ethical, community-centered processes.
Dataset Paper: ArXiv - Work in Progress
Language Coverage… See the full description on the dataset page: https://huggingface.co/datasets/dsfsi-anv/za-african-next-voices.MonsoonASR-Open-ASR-leaderboard-en-IN
Voice Arena Monsoon en-IN (public test)
Part of the Open ASR Leaderboard, in the main board's default column set, so it contributes to the headline Average WER for every model listed.
A conversational Indian English ASR test set that records who was speaking, not only what
was said. Every clip carries twelve speaker attributes — gender, age, native district
and state, education, occupation, income band, handset — so a difference between two
systems can be traced to a group of… See the full description on the dataset page: https://huggingface.co/datasets/VoiceArena/MonsoonASR-Open-ASR-leaderboard-en-IN.African_voices_naija
🇳🇬 WaZoBiaSpeech: 1,000+ Hour Nigerian Pidgin (pcm) Corpus
Version: 30 Nov 2025
NOTE: This dataset is subject to regular Updates, corrections, and expansions. Please check this repository regularly for the latest release.
🌍 Dataset Overview
WaZoBiaSpeech is a large-scale, high-quality, fully transcribed speech dataset for Nigerian Pidgin (pcm). This corpus is designed to accelerate the development of speech technology in African contexts, promoting… See the full description on the dataset page: https://huggingface.co/datasets/Africanvoice/African_voices_naija.voice-code-bench
VoiceCodeBench
VoiceCodeBench is a test-only benchmark for evaluating whether automatic
speech recognition (ASR) systems preserve exact structured values in English
workplace speech.
Paper: VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition
The benchmark targets cases where a transcript is software input: callback
numbers, email addresses, command-line flags, file paths, URLs, account
identifiers, dates, measurements, and similar values… See the full description on the dataset page: https://huggingface.co/datasets/besimple-ai/voice-code-bench.Japanese-Eroge-Voice-V2
Japanese-Eroge-Voice-V2
Description
This is the successor to the Japanese-Eroge-Voice dataset. It consists of a significantly larger collection of audio-transcription pairs extracted from Japanese eroge (adult games).
Note on Versioning: There is no overlap between this dataset (V2) and the previous version. All audio clips and transcriptions in V2 are distinct from those in the original version, providing entirely new data for research.
This version (V2) expands the… See the full description on the dataset page: https://huggingface.co/datasets/NandemoGHS/Japanese-Eroge-Voice-V2.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.
Kurisu_Voice
Makise Kurisu Multilingual Voice Dataset
13,999 labelled clips (17.1423 hours) of Makise Kurisu,
including the Amadeus Kurisu variant, in six languages, cut from the
STEINS;GATE games, the anime, and three character songs.
Every clip carries the transcript, a measured acoustic profile, an independent
speaker-identity check, and — where it could be earned rather than guessed — an
expressive tag. This is an unofficial, fan-made dataset with no affiliation to
the STEINS;GATE rights… See the full description on the dataset page: https://huggingface.co/datasets/starrydark/Kurisu_Voice.Japanese-Eroge-Voice
Japanese-Eroge-Voice
Description
This dataset contains pairs of audio data and corresponding transcriptions extracted from Japanese eroge (adult games) that I have personally purchased. The transcriptions are generated using the litagin/anime-whisper model.
Preprocessing Steps
The raw audio data has undergone the following preprocessing steps:
Loudness Normalization:
Audio loudness is normalized using ffmpeg's 2-pass loudnorm filter to target parameters of… See the full description on the dataset page: https://huggingface.co/datasets/NandemoGHS/Japanese-Eroge-Voice.samromur_childrenThe Samrómur Children corpus contains more than 137000 validated speech-recordings uttered by Icelandic children.hailuo-ai-voices
Hailuo AI Voices Dataset 🎤
A curated collection of high-quality voice recordings with corresponding transcriptions and phoneme analysis. This dataset is designed for speech recognition, text-to-speech, and voice analysis tasks.
📊 Dataset Overview
The dataset provides a comprehensive collection of voice samples with the following features:
Feature
Description
Audio Files
High-quality WAV format recordings
Transcription
Accurate transcriptions of each… See the full description on the dataset page: https://huggingface.co/datasets/unlimitedbytes/hailuo-ai-voices.farsi_voice_dataset
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/srezas/farsi_voice_dataset.common-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.ghana-one-voice
Ghana One Voice
Speech in 43 Ghanaian and West African languages, all converted into a
single consistent voice.
Every clip keeps its original transcript, so the dataset pairs one speaker's
voice with the phonetic range of dozens of languages. Roughly 5 hours per
language, about 215 hours in total.
What this is
Source audio comes from many different speakers, recording conditions and
microphones. Each clip has been passed through
ghana-vc, a voice-conversion model… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/ghana-one-voice.arknights_voices_zh
ZH Voice-Text Dataset for Arknights Waifus
This is the ZH voice-text dataset for arknights playable characters. Very useful for fine-tuning or evaluating ASR/ASV models.
Only the voices with strictly one voice actor is maintained here to reduce the noise of this dataset.
12431 records, 25.9 hours in total. Average duration is approximately 7.49s.
id
char_id
voice_actor_name
voice_title
voice_text
time
sample_rate
file_size
filename
mimetype
file_url
char_106_franka_CN_001… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/arknights_voices_zh.genshin-impact-voices
Genshin Impact — Voice Lines (Multi-Language)
An archive of character voice data extracted from Genshin Impact (原神), repackaged as Parquet shards per audio language.
Dataset Summary
Field
Value
Game
Genshin Impact (原神)
Publisher
HoYoverse / miHoYo Co., Ltd.
Languages
中文 (zh), 日本語 (ja), English (en), 한국어 (ko)
Game version
6.3
Source format
WAV + sidecar transcripts (.lab / .txt)
Distribution format
Apache Parquet (zstd), ~500 MiB audio per shard… See the full description on the dataset page: https://huggingface.co/datasets/ultemica/genshin-impact-voices.emolia
emolia-balanced-5M-subset · flac 48 kHz · WebDataset (paired)
This is the emolia-balanced-5M-subset corpus repackaged for high-quality
audio–text contrastive training. Audio is re-encoded as mono FLAC at 48 kHz
(PCM 16-bit) and stored as a WebDataset of paired <key>.flac + <key>.json
samples.
The JSON sidecar carries the full annotation stack:
Original metadata (id, text, duration, speaker, language, dnsmos).
A free-text emotion_caption derived from the emotion-annotation scalars.… See the full description on the dataset page: https://huggingface.co/datasets/VoiceNet/emolia.commonvoice-12.0-arabic-voice-converted
Dataset Card for Voice Converted Arabic Common Voice 12.0
This dataset is derived from the Common Voice Arabic Corpus 12.0 and includes automatically diacritized transcriptions and phoneme representations for the original augmented audio data. The recordings feature Arabic text read aloud by users, where the text was initially undiacritized, allowing for potential reading errors. The diacritization and phonemes were generated automatically, resulting in a dataset that is valuable… See the full description on the dataset page: https://huggingface.co/datasets/xmodar/commonvoice-12.0-arabic-voice-converted.