datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ACE-Data-0
ACE-Data-0
Human-Centric Ambient Capture as Embodied Data Engine
S-Lab, Nanyang Technological University, Singapore
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ACE Robotics
ACE turns real home environments into spatially calibrated, temporally synchronized recording studios for embodied AI.
▶ Demo video
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Full story, figures, and interactive examples on the blog
What this is
Learning to act in the physical… See the full description on the dataset page: https://huggingface.co/datasets/ACERobotics/ACE-Data-0.Emilia-Dataset
Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
This is the official repository 👑 for the Emilia dataset and the source code for the Emilia-Pipe speech data preprocessing pipeline.
News 🔥
2025/02/26: The Emilia-Large dataset, featuring over 200,000 hours of data, is now available!!! Emilia-Large combines the original 101k-hour Emilia dataset (licensed under CC BY-NC 4.0) with the brand-new 114k-hour Emilia-YODAS… See the full description on the dataset page: https://huggingface.co/datasets/amphion/Emilia-Dataset.Quranic-Recitation-Data
🌟 Overview
Quranic Recitation Dataset (Word-by-Word Sync) is a highly optimized, production-ready dataset containing high-quality audio recitations of the Holy Quran synchronized at the word-by-word level.
This dataset features 135 world-renowned reciters, with every Surah (114 chapters) mapped precisely to millisecond-accurate word timestamps. It is designed for modern Islamic mobile and web applications — served via a Cloudflare Edge CDN with native… See the full description on the dataset page: https://huggingface.co/datasets/zaibihassan/Quranic-Recitation-Data.Complete_Data_Source_100K_HOURS
Multi-Language Audio Collection (100K Hours)
This repository is physically reorganized for Absolute 100% Data Visibility.
🏗️ Global Consolidator
Select your language subset to listen to high-quality waveform audio. All shards from legacy and modern pipelines are automatically routed here.
satb-choral-dataset
SATB Choral Source Separation Dataset (Compressed)
This dataset contains preprocessed 4-second audio chunks from the Choral Singing Dataset (CSD) formatted for SATB (Soprano, Alto, Tenor, Bass) voice source separation tasks.
This is the compressed version with 8kHz sample rate and int8 precision for smaller file sizes.
Data Structure
Folder Structure
├── chunks/ # All individual chunk .pt files
├── quality_samples/ # Sample WAV… See the full description on the dataset page: https://huggingface.co/datasets/EwanB/satb-choral-dataset.CASTLE2024
What is CASTLE?
The CASTLE dataset is a large-scale, multimodal dataset designed for advancing research in lifelogging, human activity recognition, and multimodal retrieval. It provides a rich collection of time-aligned sensor and video data for analysis and benchmarking. See the Paper (or its arXiv pre-print) for more details.
You can check our website for more details.
Characteristics
Captured over four days in a controlled environment
10 participants engaged… See the full description on the dataset page: https://huggingface.co/datasets/CASTLE-Dataset/CASTLE2024.AIR-Bench-Dataset
AIR-Bench
Arxiv: https://arxiv.org/html/2402.07729v1This is the AIR-Bench dataset download page.AIR-Bench encompasses two dimensions: foundation and chat benchmarks.
The former consists of 19 tasks with approximately 19k single-choice questions.
The latter one contains 2k instances of open-ended question-and-answer data.For how to run AIR-Bench, Please refer to AIR-Bench github page(https://github.com/OFA-Sys/AIR-Bench)(will be public soon).
Data Sources(All come from… See the full description on the dataset page: https://huggingface.co/datasets/qyang1021/AIR-Bench-Dataset.Vedavani-Dataset
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry
Vedavani is the first benchmark dataset for automatic speech recognition (ASR) on Vedic Sanskrit poetry, consisting of richly annotated verses from the Rig Veda and Atharva Veda. This corpus captures the unique prosodic structure, phonetic complexity, and chanting style found in traditional Vedic recitation.
🔗 Paper: Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry (ACL 2025)📁 GitHub Repository:… See the full description on the dataset page: https://huggingface.co/datasets/sanganaka/Vedavani-Dataset.dataLuhya-ASR-Data-subset-642H
Luhya ASR Data Subset 642H
Luhya speech dataset for automatic speech recognition.
esb-datasets-earnings22-validation-tiny-filteredA filtered (<=30s duration) slice (512 samples) of the Earnings22 dataset.
def add_duration(sample):
y, sr = sample['audio']["array"], sample['audio']["sampling_rate"]
sample['duration_ms']=librosa.get_duration(y=y, sr=sr) * 1000
return sample
tedlium = load_dataset("esb/datasets", "earnings22", split='validation', trust_remote_code=True)
# compute duration to filter
tedlium = tedlium.map(add_duration)
tedlium = tedlium.select(range(512))
# Whisper max supported duration
tedlium… See the full description on the dataset page: https://huggingface.co/datasets/D4nt3/esb-datasets-earnings22-validation-tiny-filtered.stream-data-newBagpiper_SFT_Data
Bagpiper SFT Data
Release status: the validated Parquet release is being uploaded. The
homepage and metadata may appear before every large shard is committed.
Bagpiper SFT Data is the supervised fine-tuning corpus for
Bagpiper, an open-ended audio language model
that understands and generates speech, music, environmental sound, and their
mixtures through rich textual captions and planning.
The public release has exactly two configurations:
Configuration
Direction… See the full description on the dataset page: https://huggingface.co/datasets/espnet/Bagpiper_SFT_Data.100-hour-Egyptian-dataset-single-speaker
Masri 100h — Egyptian Arabic Single-Speaker Speech Corpus
A 100-hour Egyptian Arabic (مصري) single-narrator speech collection — 15,653 released clips at 24 kHz mono, with aligned transcripts.
Egyptian Arabic is the most widely understood Arabic dialect and one of the least served by open speech data.
Almost every open Arabic corpus is Modern Standard Arabic (MSA) — a register nobody actually speaks at home.
This dataset is built for the opposite: natural, spoken, conversational… See the full description on the dataset page: https://huggingface.co/datasets/ehabnegm/100-hour-Egyptian-dataset-single-speaker.bci-dataset-v4license: mit
==================================================
FIF FILES ANALYSIS REPORT
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1. OVERALL STATISTICS
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Total .fif files found: 13443
Number of subjects: 27
Number of directories: 27
2. FILES PER SUBJECT
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Subject 062000: 424 files
Subject 103918: 525 files
Subject 145098: 532 files
Subject 162636: 519 files
Subject 192176: 530 files
Subject 222299: 532 files
Subject 254362:… See the full description on the dataset page: https://huggingface.co/datasets/gsbcilab/bci-dataset-v4.portuguese-male-voice-A-datasetBarkopedia_Dog_Sex_Classification_Dataset
📦 Dataset Description
This dataset is part of the Barkopedia Challenge: https://uta-acl2.github.io/barkopedia.html
Check training data on Hugging Face:
👉 ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset
This challenge provides a dataset of labeled dog bark audio clips:
29,345 total clips of vocalizations from 156 individual dogs across 5 breeds:
Shiba Inu
Husky
Chihuahua
German Shepherd
Pitbull
Training set: 26,895 clips
13,567 female13,328 male
Test set: 2,450… See the full description on the dataset page: https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset.Emotion_new_collected_datasetopencs2_dataset_wds
OpenCS2 - POV Renders WebDataset
Browse with the OpenCS2 Viewer - every match, map and round, with all 10 player POVs synced on one timeline.
Tick-aligned Counter-Strike 2 POV training clips, rendered from
blanchon/cs2_dataset_demo. Each
sample is one player's perspective for one round; ten POVs per round share the same tick clock.
Per POV round:
Video - 1280x720 @ 32 fps, near-lossless H.264, faststart, muxed with audio.
Audio - per-player stereo, mixed from that player's… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/opencs2_dataset_wds.Vaani-Noise-Event-Dataset
Vaani Noise Event Timestamps
Dataset Summary
Vaani Noise Event Timestamps is a derived dataset from Project Vaani, a large-scale multilingual speech initiative by IISc Bangalore and ARTPARK that captures India's linguistic diversity across all districts.
This dataset provides noise event annotations with fine-grained timestamps for the subset audio recordings from the Vaani corpus. Each entry identifies background noise categories along with their precise start… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Noise-Event-Dataset.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-datasetQuranic-Translation-Audio-Data
Overview
Quranic Translation Audio Data is a highly curated, standardized, and streaming-optimized multilingual audio dataset containing the complete recitation of translation audios and commentaries of the Holy Quran across 51 different translation directories.
Every audio track has been meticulously converted from heavy .mp3 source files into the modern, high-fidelity Opus (.opus) format at a streaming-optimized bitrate of 32kbps. Alongside… See the full description on the dataset page: https://huggingface.co/datasets/zaibihassan/Quranic-Translation-Audio-Data.hindi_audio_dataset_testmusic-arena-dataset
Music Arena Dataset
This is the official dataset from Music Arena, an open platform for evaluating text-to-music (TTM) models.
How to Download (Recommended Method)
The most reliable way to get a complete local copy of all files, including the entire audio collection, is to clone the repository directly using Git. This method is ideal for offline access and workflows that require direct file manipulation.
Note: This repository uses Git LFS (Large File Storage) to… See the full description on the dataset page: https://huggingface.co/datasets/music-arena/music-arena-dataset.Quranic-Word-By-Word-Audio-Data
🌟 Overview
Quran Word-By-Word Audio Dataset contains two complete word-by-word recitation datasets of the Holy Quran, optimized for edge delivery, mobile streaming, and machine learning pipelines:
Muallim (Teacher Style) — optimized for slow, educational, and repeat-friendly listening.
Mujawwad (Tajweed Style) — optimized for natural rhythmic recitation with full tajweed flow.
Originally averaging between 2.0 GB to 2.3 GB each in raw format, the… See the full description on the dataset page: https://huggingface.co/datasets/zaibihassan/Quranic-Word-By-Word-Audio-Data.Somali-ASR-Subset-68H
Somali ASR Subset 68H
Somali speech dataset for automatic speech recognition.
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.opencs2_dataset
OpenCS2 - POV Renders
Browse with the OpenCS2 Viewer - every match, map and round, with all 10 player POVs synced on one timeline.
Tick-aligned Counter-Strike 2 POV training clips, rendered from
blanchon/cs2_dataset_demo. Each row
in the main table is one player's perspective for one round; ten POVs per round share the same tick
clock.
Per POV round:
Video - 1280x720 @ 32 fps, near-lossless H.264, faststart, muxed with audio.
Audio - per-player stereo, mixed from that… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/opencs2_dataset.Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset
Check Training Data here: ArlingtonCL2/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset Description
This dataset is for Dog Age Group Classification and contains dog bark audio clips. The data is split into training, public test, and private test sets.
Training set: 17888 audio clips.
Test set: 4920 audio clips, further divided into:
Test Public (~40%): 1966 audio clips for live leaderboard updates.
Test Private (~60%): 2954 audio clips for final evaluation.
You will… See the full description on the dataset page: https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET.