datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AudiobookRu
AudiobookRu
Russian-language audiobook audio (chapter-level), scraped from the web. Each row is one chapter: embedded MP3 bytes + book/chapter metadata.
persian-asr-audio-text-2.69M-chizzled
🗂️ persian-asr-audio-text-2.69M-chizzled
English + فارسی · Part of Shenava 1.0 · Project hub · SLT paper submission
🌟 At a glance | معرفی سریع
English
فارسی
🎯 Purpose
Phase A-scale audio/text dataset.
پیکرهٔ بزرگ جفتهای صوت و متنِ پالایششده برای آموزش در مقیاس فاز A.
🧩 Role
Persian text and linguistic asset
مصنوع متنی و زبانی فارسی
📦 Snapshot
417 files; approximately 236.86 GB
417 فایل؛ حدود 236.86 GB
🧱 Packaging
414 Parquet files and 0… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/persian-asr-audio-text-2.69M-chizzled.Audio2Tool
Audio2Tool: Speak, Call, Act — A Dataset for Benchmarking Speech Tool Use
Authors: Ramit Pahwa1,∗,∗∗, Apoorva Beedu1,∗, Parivesh Priye1, Rutu Gandhi†1, Saloni Takawale†1, Aruna Baijal1, Zengli Yang1
1 Rivian & Volkswagen Technologies · ∗ equal contribution · ∗∗ corresponding author · † equal contribution
📄 Project page / demo: https://audio2tool.github.io/
📦 Dataset: https://huggingface.co/datasets/RVtech/Audio2Tool
✉️ Contact (corresponding… See the full description on the dataset page: https://huggingface.co/datasets/RVtech/Audio2Tool.open-asr-leaderboard-resultsAudioMarathon
🎵 AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficient Inference in Multimodal LLMs
Abstract
AudioMarathon is a large-scale, multi-task audio understanding benchmark designed to systematically evaluate audio language models' capabilities in processing and comprehending long-form audio content. It provides a diverse set of 10 tasks built upon three pillars:
long-context audio inputs with durations ranging from 90.0 to 300.0… See the full description on the dataset page: https://huggingface.co/datasets/Hezep/AudioMarathon.audio-htmlaudio_datasetAudio-Video-Engineering-Agentic-Tasks-1M
Audio/Video Engineering Agentic Tasks (1M)
Abstract
A highly specialized dataset comprising 1,029,459 in-context troubleshooting prompts and execution commands built for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Audio-Video-Engineering-Agentic-Tasks-1M.audioset-opus-fbanks
AudioSet Opus — INT8 log-mel filterbanks
Precomputed Kaldi log-mel filterbank features for AudioSet, quantized to INT8.
Derived from danjacobellis/audioset_opus_24kbps
and danjacobellis/audioset_opus_24kbps_balanced,
which were already deduplicated by content hash.
The point of this dataset is to remove audio decoding and filterbank computation
from the training loop. In a masked-autoencoder training step at 64×1008
geometry, the fbank front end costs ~41% of wall-clock at 1M… See the full description on the dataset page: https://huggingface.co/datasets/quinnlue/audioset-opus-fbanks.leaderboard_longformNMSQA_audioAudioSet
AudioSet
Google's AudioSet with the audio: 1,780,876 of its 2,084,320 labelled 10 s YouTube segments as 48 kHz FLAC, each with a
record of where its audio came from, measured quality, duplicate and eval-overlap flags, and a reason for every segment
that could not be found.
clips with audio
hours
classes
format
size
1,780,876 of 2,084,320 (85.4%)
4,904
527
48 kHz, 24-bit FLAC
2.25 TiB
Two versions of every clip: Opus and AAC
YouTube stores the… See the full description on the dataset page: https://huggingface.co/datasets/Muno459/AudioSet.FreeSound_selectedspotify_audio_features
Spotify Tracks & Audio Features Dataset
Overview
This dataset contains a comprehensive collection of Spotify tracks, combining rich audio feature analysis with track metadata. It is formatted as a high-performance Parquet dataset (ZStandard compressed), optimized for large-scale tabular analysis, machine learning, and recommender system research.
Data Source
The raw data for this dataset was originally gathered and hosted by Anna's Archive.
Original Blog Post:… See the full description on the dataset page: https://huggingface.co/datasets/ozefe/spotify_audio_features.python-audio-copilot-training-using-class-knowledge-graphs
Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each class method has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path identifier.
Rows:… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-class-knowledge-graphs.python-audio-copilot-training-using-function-knowledge-graphs
Python Copilot Audio Training using Global Functions with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each global function has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-function-knowledge-graphs.Audio-IOAI-Practice-1enhanced-audiosnippets-long-2-8M
Enhanced Audiosnippets Long 2.8M
Enhanced version of mitermix/audiosnippets_long_2_8M with speech enhancement, emotion annotations, speaker embeddings, and comprehensive metadata analysis.
Dataset Summary
Metric
Value
Total samples
2,633,037
Total audio hours
4,932 h
Duration range
3.0s - 1124.3s
Mean duration
6.7s
Audio format
WAV, 48kHz mono
Tar files
1,410
Processing Pipeline
Each audio sample was processed through:
Speech… See the full description on the dataset page: https://huggingface.co/datasets/ai-music4you3/enhanced-audiosnippets-long-2-8M.python-audio-copilot-training-using-import-knowledge-graphs
Python Copilot Audio Training using Imports with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each imported module for each unique class in each module file has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-import-knowledge-graphs.spotify_audio_features_partitionedpython-audio-copilot-training-using-inheritance-knowledge-graphs
Python Copilot Audio Training using Inheritance and Polymorphism Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each base class for each unique class in each module file has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-inheritance-knowledge-graphs.python-audio-copilot-training-using-class-knowledge-graphs-2024-01-27
Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each class method has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path identifier.
Rows:… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-class-knowledge-graphs-2024-01-27.IEMO_Audio_Text_MergedMSPI_Audio_Text_Mergedquran-audio
Dataset Card for QuranLab — Qur'an Recitation Audio
A verse-aligned reference layer for Qur'an recitation audio: a unified taxonomy of 245 reciters, per-ayah and per-surah reference manifests that link every verse to its original public source, and word-precise timing released under CC-BY-4.0. This dataset hosts no audio files — it points to each recitation where it already lives and contributes the connective scholarship: taxonomy, alignment, and timing.
QuranLab is a… See the full description on the dataset page: https://huggingface.co/datasets/quranlab/quran-audio.bengali-talkshow-audio
Bengali Talkshow Audio Dataset
A large-scale collection of 1,180 Bengali talk show audio recordings totaling 789+ hours of multi-speaker speech, sourced from Bangladeshi television talk shows and political debate programs.
Dataset Description
This dataset contains audio from Bengali-language TV talk shows, political debates, and news discussion programs from major Bangladeshi television channels. Each recording features multiple speakers engaged in discussion, making it… See the full description on the dataset page: https://huggingface.co/datasets/nymtheescobar/bengali-talkshow-audio.quran-audio-text
QuranLab — Verse-Aligned Quran Text + Recitation References
This dataset joins QuranLab's canonical Hafs Arabic text to its
per-ayah recitation references. Every row is one exact
(recitation_id, verse_key) pair: the Uthmani transcript, a search-friendly
Simple-Clean transcript, and the corresponding audio_url.
QuranLab is a volunteer effort. Our aim is to present these works carefully and at high quality, and to help them travel faithfully — in the spirit in which they were… See the full description on the dataset page: https://huggingface.co/datasets/quranlab/quran-audio-text.audioFRv1Spotify_Audio_features_2.3Mpao-audio-dataset
🎙️ Pa'O Audio Dataset
ပအိုဝ်ႏ အငေါဝ်း အဆင်ႏဗာႏ ရွမ်ခြွဉ်းဗူႏ
📌 Project Summary
The Pa'O Audio Dataset is an open-source initiative created to facilitate the development of speech technologies and Artificial Intelligence tools for the Pa'O language (ပအိုဝ်ႏဘာႏသာႏငေါဝ်းငွါ).
Pa'O is primarily spoken in Shan State and other regions of Myanmar. As a low-resource language in the AI landscape, this dataset provides audio recordings and corresponding… See the full description on the dataset page: https://huggingface.co/datasets/paodigitalhub/pao-audio-dataset.