datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Urdu-ONYX-WAV-kanade-Annotated
Urdu-ONYX-WAV-real-Annotated
Enhanced version of Urdu-ONYX-WAV-real with phoneme annotations and Kanade tokenizer features.
Dataset Statistics
Total Samples: 26,217
Total Duration: 42.77 hours
Average Duration: 5.87 seconds
Duration Range: 0.65s - 122.23s
Average Phonemes: 18.5 per sample
Average Kanade Tokens: 151.1 per sample
Global Embedding Dimension: 128
New Columns
This dataset adds the following columns:
duration (float): Audio duration in seconds… See the full description on the dataset page: https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV-kanade-Annotated.kupe-asr-en-data
kupe-asr-en-mini-150m — data
Two loadable configs, packed into ~20-25 bunch_*.parquet files each (Hub-quota friendly):
raw — 24 kHz mono English audio (flac bytes) + text. The encode stage reads this.
mimi — Mimi c0..c7 codes (12.5 Hz) + text. Training reads this.
Ledgers under ledger/ (data.json, mimi.json) track collected/encoded hours and resume state.
from datasets import load_dataset
ds = load_dataset("anuj-inavlabs/kupe-asr-en-data", "mimi", split="train")
seamless-interaction-jefferson-annotations
Seamless Interaction Jefferson-Style Annotations
An automatic, turn-oriented annotation layer for the
Meta Seamless Interaction Dataset.
It compares the dataset's traditional transcript with an ASR-derived
Jefferson-style condition and supplies speech-act, communicative-purpose,
interactional-signal, alignment, and quality fields.
This is a derived noncommercial research dataset. It does not redistribute
the source audio. Every record retains the original interaction ID, split… See the full description on the dataset page: https://huggingface.co/datasets/kennethli319/seamless-interaction-jefferson-annotations.open-ko-s2s-eval-artifacts
Open Ko-S2S 평가 산출물 (감사용)
⚠️ KsponSpeech 참조 전사는 해시로 대체돼 있습니다
KsponSpeech 는 AI Hub 배포 데이터로 재배포 제한이 있을 수 있어, kspon 런의
ref 컬럼을 ref_sha256 으로 대체했습니다(전사 원문 미포함). 모델 출력(hyp)과
채점 결과(cer_err/cer_len/cer)는 우리 산출물이라 그대로 공개합니다.
Zeroth 런은 원본이 CC BY 4.0(OpenSLR #40)이라
ref 원문을 그대로 담고 있습니다.
라이선스 보유자의 검증 절차
AI Hub 에서 KsponSpeech 를 정당하게 받은 분은 다음으로 우리 수치를 검증할 수 있습니다.
리더보드 저장소의 eval/datasets_ko.py 에서 clean_kspon() 을 가져옵니다.
자기 사본의 원 전사에 clean_kspon() 을 적용합니다. 결과가 목록이면… See the full description on the dataset page: https://huggingface.co/datasets/baryonlabs/open-ko-s2s-eval-artifacts.korean-full-duplex-synthetic-dataset-preview
Korean Full-Duplex Synthetic Dataset Preview
Overview
Public preview of a Korean full-duplex synthetic speech dataset. This
repository contains 100 conversations sampled from a corpus of 89,273
conversations (2,000.5 hours); it does not publish the full corpus audio.
Preview contents
100 conversation WAV files
data/representative.jsonl
24 kHz, mono, 16-bit PCM
Events: normal, barge_in, backchannel, cutoff_by_user
Annotation format… See the full description on the dataset page: https://huggingface.co/datasets/Wi-Fi/korean-full-duplex-synthetic-dataset-preview.knesset-plenums
About
This dataset is derived from raw a/v recordings and human-generated protocols of the Knesset (the Israeli house of representatives) plenums as part of the ivrit.ai project.
Consider visiting the preview space for this dataset here
Method
Data dumps from the Knesset contain A/V recordings, alongside proprietary protocols with timestamps.
We extract the audio stream, and clean up timestamp mistakes (such as backward jumps, or out-of-order timestamp artifacts).
The… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/knesset-plenums.marathi-phonology-matrices
मराठी व्याकरण आणि ध्वनी मॅट्रिक्स
Marathi Phonology Matrices
गणितीय ध्वनी संश्लेषणासाठी (Mathematical Speech Synthesis) तयार केलेला सर्वसमावेशक मराठी फोनोलॉजी डेटासेट.
🎯 उद्देश्य
हा डेटासेट मराठी भाषेच्या:
फोनोलॉजिकल विश्लेषण
मॉर्फोलॉजी (लिंग, वचन, काळ)
संधि व श्व नियम
युक्तक्षर (Clusters)
Duration & Pitch नियम
Loanword adaptation
या सर्वांसाठी संरचित डेटा पुरवतो. TTS, ASR, G2P आणि Computational Linguistics संशोधनासाठी उपयुक्त.
📊… See the full description on the dataset page: https://huggingface.co/datasets/kalpesh77/marathi-phonology-matrices.Shinekhen-BuryatAudio collected by Yamakoshi (Tokyo University of Foreign Studies), originally uploaded here (CC BY-SA 4.0).
start_time and end_time are from the original audio clips; the audio uploaded here are already converted into per-sentence audio clips.
Used in [paper] [GitHub]
korean-asr
korean-asr — Korean ASR pseudo-labels for YODAS2
This repository contains transcripts and segment metadata only. It does not contain audio.
Every row points into espnet/yodas2 by
(shard, video_id, start, end), so you fetch the audio from the upstream dataset and cut it
yourself. See Reconstructing the audio.
split
utterances
hours
train
1,034,181
6,974.3
heldout
46,542
314.6
dev (subset of heldout)
3,000
20.4
Total labelled: 1,080,723 utterances / 7,288.9… See the full description on the dataset page: https://huggingface.co/datasets/nhatminh/korean-asr.Swedia-ASR-Dataset
Swedia ASR Dataset
This repository contains a small Swedish ASR evaluation dataset based on speech
transcriptions from Swedia 2000. It was assembled to compare automatic
speech-recognition output against manually corrected reference transcriptions
for Swedish dialectal speech.
The dataset is useful for quick experiments with Swedish ASR systems, especially
when you want to inspect recognition quality on spontaneous speech from
different regions, speakers, ages, and genders.… See the full description on the dataset page: https://huggingface.co/datasets/kvest/Swedia-ASR-Dataset.arknights_voices_kr
KR Voice-Text Dataset for Arknights Waifus
This is the KR 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.
9996 records, 23.1 hours in total. Average duration is approximately 8.34s.
id
char_id
voice_actor_name
voice_title
voice_text
time
sample_rate
file_size
filename
mimetype
file_url
char_4046_ebnhlz_CN_001… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/arknights_voices_kr.stt-bench
koedesk STT Bench — raw transcriptions (v1, Track A)
28,400 raw transcriptions: 13 hosted speech-to-text engine variants × 12 languages × 200 FLEURS utterances, produced by a preregistered benchmark run on 2026-07-05. Every engine output is published unmodified, including full raw API responses.
Conflict of interest, stated first: this benchmark is built and funded by koedesk, a voice-typing product that uses ElevenLabs Scribe v2. We do not pretend to be neutral. Instead… See the full description on the dataset page: https://huggingface.co/datasets/koedesk/stt-bench.KazMix-3
KazMix-3
Kazakh three-speaker overlapping-speech dataset for target-speaker ASR (TS-ASR), released with the Persona-ASR project. Given a short enrollment utterance of a target speaker and a 3-speaker mixture, the task is to transcribe only the target speaker, or reject the utterance when the target is absent.
This repository ships the mixture manifests and generation scripts, not the audio. Mixtures are derived from the Kazakh Speech Dataset (KSD, OpenSLR 140); download KSD and… See the full description on the dataset page: https://huggingface.co/datasets/issai/KazMix-3.ktt-math-tutor-data
KTT Math Tutor — Data
Data artefacts for the AIMS KTT Hackathon Tier-3 submission
S2.T3.1 AI Math Tutor for Early Learners. Source code:
https://github.com/DrUkachi/ktt-math-tutor.
Contents
T3.1_Math_Tutor/
Core curriculum + seeds.
curriculum.json — 80 items × 5 sub-skills (counting, number
sense, addition, subtraction, word problem) with EN / FR / KIN
stems, difficulty 1–10, age bands 5–6 / 6–7 / 7–8 / 8–9, visual
asset keys, expected integer answer.… See the full description on the dataset page: https://huggingface.co/datasets/DrUkachi/ktt-math-tutor-data.egyptian-arabic-stt-data
Egyptian Arabic STT Dataset
Synthetic Egyptian Arabic speech dataset generated by the
Synthetic Egyptian Speech Data Pipeline.
Samples are human-reviewed and quality-validated using Whisper ASR (WER/CER).
Dataset Statistics
Metric
Value
Total samples
50
Total duration
85.2s (0.02h)
Dialect validated
50 / 50
Average WER
0.4136
Average CER
0.1642
Topics
food_ordering
Fields
Field
Type
Description
id
string
Deterministic… See the full description on the dataset page: https://huggingface.co/datasets/Khaledtelbahnasy/egyptian-arabic-stt-data.dwesui-grupa-2-kulinarna
G2-Polish-Culinary-ASR-Evaluation-Corpus
Korpus do ewaluacji systemow ASR jezyka polskiego (domena kulinarna) stworzony
w ramach warsztatow Ewaluacja Systemow Rozpoznawania Mowy (UAM WMI, edycja 2026,
zespol 2). Publikowany podzbior to mowa naturalna z wideo kulinarnych YouTube
(licencja CC-BY) - sluzy do badania odpornosci ASR na szum kuchenny oraz dopasowania
domenowego do specjalistycznego slownictwa (zapozyczenia, miary, liczby).
Pelny eksperyment ewaluacyjny zespolu… See the full description on the dataset page: https://huggingface.co/datasets/s479246/dwesui-grupa-2-kulinarna.2026-dwesui-g02-kulinarna
DWESUI 2026 - Grupa 2 - kulinarna (PIEROGA)
Robocza/archiwalna kopia zbioru ewaluacyjnego ASR zbudowanego przez studentow kursu
Warsztaty z ewaluacji systemow rozpoznawania mowy (UAM WMI), edycja 2026, tryb dzienny.
Zespol (atrybucja): Grupa 2 (DWESUI 2026)
Zrodlo oryginalne: https://huggingface.co/datasets/s479246/dwesui-grupa-2-kulinarna
Domena: kulinarna
Licencja zrodla: nagrania YouTube CC-BY/CC-BY-SA + TTS
Status: kopia publiczna w organizacji kursowej (zespół opublikował… See the full description on the dataset page: https://huggingface.co/datasets/uam-wmi-asr-eval-labs/2026-dwesui-g02-kulinarna.gdrive-sbpn-tagged-chunks-20260812
gdrive-sbpn-tagged-chunks-20260812
This is the tag-containing subset of
Kppwdfgu1/gdrive-sbpn-tagged-demucs-chunks-20260812.
It contains the complete final audio chunk for every final row that retained
at least one non-music audio tag. Audio has not been cropped down to the tag
interval; the surrounding speech remains available for review.
The audio and metadata are copied from the final diarization-corrected,
Demucs-voted dataset. tag_events_json supplies the tag's absolute… See the full description on the dataset page: https://huggingface.co/datasets/Kppwdfgu1/gdrive-sbpn-tagged-chunks-20260812.Urdu-ONYX-WAV-kanade-V2
Urdu-ONYX-WAV-kanade-Annotated-V2
Version 2.0 - Artifact-Free Edition 🎉
Overview
This is an improved version of the Urdu-ONYX-WAV dataset, tokenized with the Kanade neural codec and optimized for artifact-free audio decoding. This dataset contains 143,627 samples of high-quality Urdu speech with comprehensive linguistic and acoustic annotations, totaling ~244 hours (~10 days) of continuous audio.
Key Features
🎯 Large-Scale: 143K+ samples, 244+ hours of… See the full description on the dataset page: https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV-kanade-V2.