datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
peoples_speech
Dataset Card for People's Speech
Dataset Summary
The People's Speech Dataset is among the world's largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/peoples_speech.unsupervised_peoples_speech
Dataset Card for Unsupervised Peoples Speech
Dataset Description
Dataset Summary
The Unsupervised Peoples Speech Dataset is a compilation of audiofiles extracted from Archive.org that is licensed for academic and commercial usage under CC-BY and CC-BY-SA licenses. It includes more than one million hours of audio with a diverse set of speakers.
Point of Contact: MLCommons Datasets Discord
Dataset Structure
This dataset is a collection of audio… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/unsupervised_peoples_speech.audiofolder_two_configs_in_metadataparliament_hearings_processed
Preprocessed parliament hearings ASR dataset to truecased form.
Original dataset: https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3126
dataset_info:
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: transcription
sequence: string
splits:
- name: train
num_bytes: 53645064353.18
num_examples: 191455
- name: test
num_bytes: 740331298.0
num_examples: 2726… See the full description on the dataset page: https://huggingface.co/datasets/jkot/parliament_hearings_processed.avspeech-visual-audio
AVSpeech Video + Audio
This repository is a media-bearing reconstruction of the public AVSpeech
annotations. Each row represents an already-trimmed segment and keeps the
original source-video timing and target-face-center metadata.
Dataset structure
clip_id: identifier derived as
{youtube_id}_{start_sec:.3f}_{end_sec:.3f}.
avspeech_metadata: JSON containing youtube_id, start_sec, end_sec,
x_center, and y_center from the AVSpeech annotation.
video: video-only… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/avspeech-visual-audio.minds14
MInDS-14
MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14
intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties.
Example
MInDS-14 can be downloaded and used as follows:
from datasets import load_dataset
minds_14 = load_dataset("PolyAI/minds14", "fr-FR") # for French
# to download all data for multi-lingual fine-tuning uncomment following… See the full description on the dataset page: https://huggingface.co/datasets/PolyAI/minds14.BBC_PargarLibriS2S
LibriS2S
This repo contains scripts and alignment data to create a dataset build further upon librivoxDeEn such that it contains (German audio, German transcription, English audio, English transcription) quadruplets and can be used for Speech-to-Speech translation research. Because of this, the alignments are released under the same Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
These alignments were collected by downloading the English audiobooks… See the full description on the dataset page: https://huggingface.co/datasets/PedroDKE/LibriS2S.Pretraining-V1
Indic TTS Unified v1
A large-scale, unified collection of speech data for text-to-speech (TTS) and speech research. This dataset consolidates 17 distinct source datasets into a single, schema-normalized resource covering Indian / South Asian languages, plus major European, African, MENA, and Central Asian languages, with over 13.7 million utterances and 26,000+ hours of audio.
All audio is resampled to 24 kHz mono. Every row follows an identical schema regardless of source… See the full description on the dataset page: https://huggingface.co/datasets/projectkaira/Pretraining-V1.reachy-mini-emotions-library
Reachy Mini Emotions Library
Curated emotion recordings for the Reachy Mini robot, maintained by
Pollen Robotics. Each move is a JSON trajectory (head pose, antennas,
body yaw, sampled over time) paired with an Opus audio track.
Motion is sampled at 50 Hz; audio is mono Ogg/Opus (decoded natively by
the robot). Requires reachy_mini ≥ v1.8.4 (its move loader resolves
non-.wav audio sidecars).
File layout
Files live at the root of the dataset, named <emotion>.json +… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/reachy-mini-emotions-library.stg-paired-audiocoral-v3
CoRal: Danish Conversational and Read-aloud Dataset
Version 3.0
Dataset Overview
CoRal is a comprehensive Automatic Speech Recognition (ASR) dataset designed to capture the diversity of the Danish language across various dialects, accents, genders, and age groups. The primary goal of the CoRal dataset is to provide a robust resource for training and evaluating ASR models that can understand and transcribe spoken Danish in all its variations.
Key Features… See the full description on the dataset page: https://huggingface.co/datasets/CoRal-project/coral-v3.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.ASMR-Archive-Processed
ASMR-Archive-Processed (WIP)
Update (2026-04-03): This dataset has reached the Hugging Face Public Storage Limit. After contacting support, we were informed that the only option is to pay for a storage expansion. Consequently, updates to this dataset are now suspended.
Work in Progress — expect breaking changes while the pipeline and data layout stabilize.
This dataset contains ASMR audio data sourced from DeliberatorArchiver/asmr-archive-data-01 and… See the full description on the dataset page: https://huggingface.co/datasets/OmniAICreator/ASMR-Archive-Processed.LibriBrain
LibriBrain (Sherlock Holmes 1–7)
Paper | Code
This repository contains the LibriBrain data organised by book: MEG recordings (.h5), event annotations (.tsv), and the audiobook stimulus audio (.wav).
LibriBrain was first open-sourced as part of the 2025 PNPL Competition.
In addition, LibriBrain is used as a fine-tuning dataset in the paper "MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training" to evaluate word decoding from brain data.
Sample Usage… See the full description on the dataset page: https://huggingface.co/datasets/pnpl/LibriBrain.psg-audio-v3-unofficial-mirror
PSG-Audio v3 — Unofficial Complete Mirror
Unofficial complete mirror of the publicly released PSG-Audio Version 3 dataset.
This repository preserves the original files without modification and provides a reliable, high-speed mirror through the Hugging Face Hub for the research community.
Overview
PSG-Audio v3 is one of the largest publicly available multimodal sleep datasets, combining overnight clinical polysomnography (PSG) with synchronized environmental… See the full description on the dataset page: https://huggingface.co/datasets/Samuelsantos777/psg-audio-v3-unofficial-mirror.align-anything
Overview: Align-Anything Dataset
A Comprehensive All-Modality Alignment Dataset with Fine-grained Preference Annotations and Language Feedback.
🏠 Homepage | 🤗 Align-Anything Dataset | 🤗 T2T_Instruction-tuning Dataset | 🤗 TI2T_Instruction-tuning Dataset | 👍 Our Official Code Repo
Our world is inherently multimodal. Humans perceive the world through multiple senses, and Language Models should operate similarly. However, the development of Current Multi-Modality Foundation Models… See the full description on the dataset page: https://huggingface.co/datasets/PKU-Alignment/align-anything.avqa-processedtest_librispeech_parquetportuguese-male-voice-A-datasettlott-digital-products
T. Lott Digital Products
Digital product files for T. Lott's online store.
Products
Audiobooks (MP3)
eBooks (PDF)
Software (ZIP)
Cover images (PNG)
Download URLs
Files can be downloaded directly:
https://huggingface.co/datasets/ziggylott/tlott-digital-products/resolve/main/{filepath}
vibevoice-quran_persian-single-speakerlibritts_r_filtered
Dataset Card for Filtered LibriTTS-R
This is a filtered version of LibriTTS-R. It has been filtered based on two sources:
LibriTTS-R paper [1], which lists samples for which speech restoration have failed
LibriTTS-P [2] list of excluded speakers for which multiple speakers have been detected.
LibriTTS-R [1] is a sound quality improved version of the LibriTTS corpus which is a multi-speaker English corpus of approximately
585 hours of read English speech at 24kHz sampling rate… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/libritts_r_filtered.laion-audio-previewPenaldoCR7eluniversoraro-podcastpolice-scanner-audio
Police Scanner Audio Dataset
A comprehensive collection of police and emergency services radio communications from multiple US cities, captured from publicly available scanner feeds.
Dataset Overview
This dataset contains 103,660 audio recordings totaling 357GB of police scanner audio from 6 different cities across the United States. The recordings span multiple months of continuous monitoring and represent real-world emergency services communications.
Scanner… See the full description on the dataset page: https://huggingface.co/datasets/trentmkelly/police-scanner-audio.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.AV-SpeakerBench
AV-SpeakerBench
Audiovisual QA benchmark with speaker-aware questions and aligned clips. This drop includes trimmed segments (audio-only, visual-only, audiovisual) plus annotations to probe fine-grained AV reasoning.
Project page: https://plnguyen2908.github.io/AV-SpeakerBench-project-page/
Code & benchmarks: https://github.com/plnguyen2908/AV-SpeakerBench
Paper: https://arxiv.org/abs/2512.02231
Files
test.csv - original annotations and metadata with clip paths… See the full description on the dataset page: https://huggingface.co/datasets/plnguyen2908/AV-SpeakerBench.MMAU-Pro
MMAU-Pro: A Challenging and Comprehensive Benchmark for Audio General Intelligence
MMAU-Pro is the most comprehensive benchmark to date for evaluating audio intelligence in multimodal models. It spans speech, environmental sounds, music, and their combinations—covering 49 distinct perceptual and reasoning skills.
The dataset contains 5,305 expert-annotated question–answer pairs, with audios sourced directly from the wild. It introduces several novel challenges overlooked by… See the full description on the dataset page: https://huggingface.co/datasets/gamma-lab-umd/MMAU-Pro.