datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
epic_kitchens_100
Motivation
The actual download link is very slow, including the academic torrent. Therefore, to spare fellow community members from this misery, I am uploading the dataset here.
Source
You can fnd the original source to download the dataset: https://github.com/epic-kitchens/epic-kitchens-download-scripts
Citation
@INPROCEEDINGS{Damen2018EPICKITCHENS,
title={Scaling Egocentric Vision: The EPIC-KITCHENS Dataset},
author={Damen, Dima and Doughty, Hazel and… See the full description on the dataset page: https://huggingface.co/datasets/awsaf49/epic_kitchens_100.bolAIndia
bolAIndia
Human-side speech from production call recordings, cut into utterance-level
chunks by a two-engine VAD (Silero + TEN) and transcribed by third-party ASR
providers. Each row keeps the transcript, the provider's confidence, and full
provenance back to the source recording.
Sources
One config per transcription system, so their output stays separable.
config (source_id)
provider
model
hours
rows
shards
vendor-a
vendor-a
undisclosed
420.03
480774… See the full description on the dataset page: https://huggingface.co/datasets/kapturecx/bolAIndia.Raon-OpenTTS-Pool
Raon-OpenTTS-Pool
Technical Report
Raon-OpenTTS-Pool is a large-scale open English speech corpus for text-to-speech (TTS) training,
constructed from 8 publicly available speech corpora and a set of web-sourced recordings.
It is the training data behind Raon-OpenTTS,
an open TTS model that performs on par with state-of-the-art closed-data systems.
615K hours of speech audio
239.7M speech segments
11 source datasets aggregated into a unified format
All… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/Raon-OpenTTS-Pool.ADU-Bench
ADU-Bench: Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models
We provide the code for evaluation on Github.
If you use ADU-Bench in your project, please kindly cite:
@article{gao2024benchmarking,
title={Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models},
author={Gao, Kuofeng and Xia, Shu-Tao and Xu, Ke and Torr, Philip and Gu, Jindong},
journal={arXiv preprint arXiv:2412.05167},
year={2024}
}
rixvox-v2
RixVox-v2: A Swedish parliamentary speech dataset
RixVox-v2 is a parliamentary speech dataset spanning nearly 23000 hours of speech. The dataset was built by matching and force aligning speeches in parliamentary protocols to media recordings of debates. Each observation contains metadata about the speaker's name, gender, district, role, party affiliation, and the date the speech was given. We include identifiers for protocols, speeches and speakers that allow linking observations in… See the full description on the dataset page: https://huggingface.co/datasets/KBLab/rixvox-v2.fasttmaa
Multilingual MFA-Aligned Speech Dataset (UNDER DEVELOPMENT)
A large-scale multilingual speech dataset with word-level and phoneme-level alignments produced using the Montreal Forced Aligner (MFA).
Dataset Description
This dataset consolidates multiple speech corpora across various languages, all processed through MFA to provide precise phoneme and word alignments. Each sample includes the original audio, transcript, and detailed timing information for both words and… See the full description on the dataset page: https://huggingface.co/datasets/khursani8/maa.Kathbath
Kathbath
Kathbath is an human-labeled ASR dataset containing 1,684 hours of labelled speech data across 12 Indian languages from 1,218 contributors located in 203 districts in India
Languages
Bengali
Gujarati
Kannada
Hindi
Malayalam
Marathi
Odia
Punjabi
Sanskrit
Tamil
Telugu
Urdu
Licensing Information
The IndicSUPERB dataset is released under this licensing scheme:
We do not own any of the raw text used in creating this dataset.
The text data… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/Kathbath.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.central-kurdish-pseudolabel
Central Kurdish → English Pseudo-Labeled Speech Translation Corpus
Dataset Summary
This repository contains a large-scale pseudo-labeled speech translation corpus for Central Kurdish (Sorani Kurdish).
The dataset was automatically generated using a pipeline composed of:
Speech segmentation
Automatic Speech Recognition (ASR)
Machine Translation (MT)
The objective is to provide training data for end-to-end Speech-to-Text Translation (S2TT) in a language with very… See the full description on the dataset page: https://huggingface.co/datasets/aranemini/central-kurdish-pseudolabel.khmer-speech-dataset
Khmer ASR Cultural Dataset
727.94 hours of manually curated speech-text pairs by native speakers in the Khmer language about Cambodian cultural topics. On average, each recording is 8 seconds. Speaker metadata (gender, age group, and origin city) is provided.
Language: Khmer (khm).
Source(s): Native speakers from Cambodia (5 females, 7 males). The utterances were manually generated based on topics and subtopics listed in metadata.
Domain(s): Cultural domain, with a total of 61… See the full description on the dataset page: https://huggingface.co/datasets/Digital-Divide-Data/khmer-speech-dataset.IndicSynth
IndicSynth: Indian Multilingual Audio Deepfake Detection & Anti-Spoofing Dataset
A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages to facilitate audio deepfake detection and anti-spoofing research
🏆 Outstanding Paper Award, ACL 2025
🧠 Overview
IndicSynth is a novel multilingual synthetic speech dataset designed to advance multilingual audio deepfake detection (ADD) and anti-spoofing research. It covers 12 low-resource Indian… See the full description on the dataset page: https://huggingface.co/datasets/ksmashhero/IndicSynth.pl-kwsLatin-Audio
Dataset Summary
Vox Classica is a Latin speech corpus of ~73 hours of audio, segmented into short audio clips by sentence. Vox Classica is a large-scale, ML-ready dataset of human-read Classical Latin. It was designed to address the absence of a publicly available human-read Latin corpus large enough for model training.
Alignment and curation: Kaiyuan Zhao
Language: Latin (Classical)
Uses
This dataset is built for training and evaluating speech processing models… See the full description on the dataset page: https://huggingface.co/datasets/Ken-Z/Latin-Audio.dnr-v3-multilingualkasem-speech-text-parallel
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
Kasem Speech-Text Parallel Dataset
Dataset Description
This dataset contains 75990 parallel speech-text pairs for Kasem, a language spoken primarily in Ghana. The dataset consists of audio recordings paired with their… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/kasem-speech-text-parallel.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.Kamba-ASR-Data-Subset-484H
Kamba ASR Data Subset 484H
Kamba speech dataset for automatic speech recognition.
isolated-guitar-chords
Isolated Guitar Chords Dataset
Overview
This dataset contains isolated guitar chord recordings designed for audio classification tasks such as chord recognition and real-time music analysis.
The data was intentionally recorded in realistic acoustic conditions, including minor background sounds, to improve robustness during inference in real-world environments.
Recording Setup
Instrument: 🎸 Fender FA-15 3/4 Acoustic Guitar
Recording method: Manual recording… See the full description on the dataset page: https://huggingface.co/datasets/severyn-k/isolated-guitar-chords.zeroth_korean
Zeroth-Korean Dataset
Introduction
The Zeroth-Korean dataset is a publicly available speech dataset created for Korean automatic speech recognition (ASR) research and development. This dataset is distributed under the CC BY 4.0 license, allowing anyone to use it freely. The goal of the Zeroth project is to make Korean speech recognition more widely accessible.
Dataset Overview
Total Data: Approximately 51.6 hours of training data and 1.2 hours of test data… See the full description on the dataset page: https://huggingface.co/datasets/kresnik/zeroth_korean.ISSAI_KSC_335RS_v_1_1
Dataset Card for "ISSAI_KSC_335RS_v_1_1"
Kazakh Speech Corpus (KSC)
Identifier: SLR102
Summary: A crowdsourced open-source Kazakh speech corpus developed by ISSAI (330 hours)
Category: Speech
License: Attribution 4.0 International (CC BY 4.0)
Downloads (use a mirror closer to you):
ISSAI_KSC_335RS_v1.1_flac.tar.gz [19G] (speech, transcripts and metadata ) Mirrors: [US] [EU] [CN]
About this resource:
A crowdsourced open-source speech corpus for the Kazakh language. The KSC… See the full description on the dataset page: https://huggingface.co/datasets/Shirali/ISSAI_KSC_335RS_v_1_1.DailyTalkContiguous
DailyTalkContiguous
This repo contains a concatenated version of the DailyTalk dataset (official repo).
Rather than having separate files for each speaker's turn, this uses a stereo file for each conversation. The two speakers in a conversation
are put separately on the left and right channels.
The dataset is annotated with word level timestamps.
The original DailyTalk dataset and baseline code are freely available for academic use with CC-BY-SA 4.0 license, this dataset
uses the… See the full description on the dataset page: https://huggingface.co/datasets/kyutai/DailyTalkContiguous.suno-ai-music-dataset
Suno AI Music Dataset (Multi-Genre Curated)
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track ships with full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema designed for downstream audio-ML research.
This is not a "scrape everything Suno produces" dump. It is a… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/suno-ai-music-dataset.cszs_fr_enThis dataset contains the French-English track of the benchmark from ICASSP 2024: Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages.Though the benchmark is originally designed to assess the semantic and syntactic abilities of the speech foundation models, you can also use this dataset for code-switching ASR.
If you find this dataset helpful, please consider to cite the following paper:
@INPROCEEDINGS{10446737,
author={Huang, Kuan-Po and… See the full description on the dataset page: https://huggingface.co/datasets/ky552/cszs_fr_en.spgispeech
Dataset Card for SPGISpeech
Dataset Description
Dataset Summary
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
Data Fields
Data Splits
Dataset Creation
Curation Rationale
Source Data
Annotations
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
Contributions
Terms of Usage… See the full description on the dataset page: https://huggingface.co/datasets/kensho/spgispeech.japanese-listening-voicevox-backupFormulaBank-28K
FormulaBank-28K
FormulaBank-28K is a deterministic procedural-audio corpus for audio representation pre-training. It contains 28,000 mono clips at 16 kHz, each exactly 10.24 seconds long.
Configuration
Version: C125-I224-v1
Formula classes: 125
Renderings per class: 224
Total clips: 28,000
Audio format: lossless 24-bit FLAC
Source: frozen AudioPG-Atomic-H7-C224-R0-Clean FormulaBank manifest
Each formula class specifies an acoustic rendering rule. Each rendering… See the full description on the dataset page: https://huggingface.co/datasets/KevinJustin/FormulaBank-28K.Raon-OpenTTS-Eval
Raon-OpenTTS-Eval
Technical Report
A robustness-oriented evaluation benchmark for zero-shot text-to-speech, covering 4 acoustic regimes (Clean, Noisy, Wild, Expressive) across 12 datasets with 6,000 prompt–text pairs.
Existing zero-shot TTS benchmarks typically evaluate models using prompts drawn from a single read-speech dataset, providing an incomplete view of robustness under realistic and challenging recording scenarios. Raon-OpenTTS-Eval… See the full description on the dataset page: https://huggingface.co/datasets/KRAFTON/Raon-OpenTTS-Eval.SPGISpeech2.0
Dataset Card for SPGISpeech 2.0
Dataset Details
Dataset Overview
We are excited to present SPGISpeech 2.0, a dataset suitable for speaker-tagged transcription in the financial domain. SPGISpeech 2.0 improves the diversity of applicable modeling tasks while maintaining the core characteristic of the original SPGISpeech dataset: audio snippets and their corresponding fully formatted text transcriptions, usable for end-to-end automatic speech recognition (ASR).… See the full description on the dataset page: https://huggingface.co/datasets/kensho/SPGISpeech2.0.mls_hq_urgent_track1