datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
darija-asr-corpus
Darija ASR Corpus (dataset-core)
Arabizi (Latin-script) transcriptions of Moroccan Darija speech, produced for a
Whisper fine-tuning pipeline (paper not yet published -- citation forthcoming).
This repo contains four source subsets: DODa, DVoice, Wiki, and
YouTube. Each subset carries its own upstream license/terms -- see below --
because they are drawn from four different original projects.
Subsets
Config
Rows
Audio bundled?
Upstream license
Upstream source… See the full description on the dataset page: https://huggingface.co/datasets/abnajlae/darija-asr-corpus.asr-reference-set-eval-temp
Temporary ASR evaluation audio
Temporary public audio files used for hosted ASR evaluation.
SLT-Task2-Post-ASR-Speaker-Tagging
Dataset Name: Dataset for ASR Speaker-Tagging Corrections (Speaker Diarization)
Description
This dataset is pairs of erroneous ASR output and speaker tagging, which are generated from a ASR system and speaker diarization system.
Each source erroneous transcription is paired with human-annotated transcription, which has correct transcription and speaker tagging.
SEGment-wise Long-form Speech Transcription annotation (SegLST), the file format used in the CHiME challenges… See the full description on the dataset page: https://huggingface.co/datasets/GenSEC-LLM/SLT-Task2-Post-ASR-Speaker-Tagging.ark-asr-open-asr-leaderboard-results
ARK-ASR Open ASR Leaderboard Results
This dataset contains JSONL prediction manifests for AutoArk-AI/ARK-ASR-0.6B on hf-audio/open-asr-leaderboard public English short-form splits.
These files are intended for Open ASR Leaderboard maintainer verification.
Scoring summary from normalizer.eval_utils.score_results:
Split
WER
RTFx
ami/test
10.02
352.12
earnings22/test
9.77
331.88
gigaspeech/test
8.00
217.72
librispeech/test.clean
1.53
412.12
librispeech/test.other… See the full description on the dataset page: https://huggingface.co/datasets/Edge0/ark-asr-open-asr-leaderboard-results.quran-asr-husary
Quran ASR — Husary Muallim Dataset
Description
This dataset contains Quran recitation audio files by Sheikh Mahmoud Khalil Al-Husary at 16 kHz sampling rate, with Arabic transcriptions including diacritics.
Dataset Structure
Audio files: Stored in audio/ folder (e.g., audio/001_001.wav)
Data file: manifest.json (NeMo format)
Columns:
audio_filepath: Path to audio file
text: Arabic transcription with diacritics
duration: Audio duration in seconds
speaker:… See the full description on the dataset page: https://huggingface.co/datasets/NightPrince/quran-asr-husary.asrs-aviation-reports
Dataset Card for ASRS Aviation Incident Reports
Dataset Summary
This dataset collects 47,723 aviation incident reports published in the Aviation Safety Reporting System (ASRS) database maintained by NASA.
Supported Tasks and Leaderboards
'summarization': Dataset can be used to train a model for abstractive and extractive summarization. The model performance is measured by how high the output summary's ROUGE score for a given narrative account of an aviation… See the full description on the dataset page: https://huggingface.co/datasets/elihoole/asrs-aviation-reports.ark-asr-3b-open-asr-leaderboard-results
ARK-ASR-3B Open ASR Leaderboard Results
Raw JSONL manifests for AutoArk-AI/ARK-ASR-3B on the public English
short-form hf-audio/open-asr-leaderboard splits.
These manifests were generated on a local 8x RTX 4090 machine and scored with
the shared Open ASR Leaderboard scorer:
PYTHONPATH=. python - <<'PY'
from normalizer.eval_utils import score_results
score_results(
'ark_asr/results.AutoArk-AI-ARK-ASR-3B_20260622_official',
'AutoArk-AI/ARK-ASR-3B',
)
PY
Important:… See the full description on the dataset page: https://huggingface.co/datasets/Edge0/ark-asr-3b-open-asr-leaderboard-results.orig-plus-asr-tamil-clean
orig-plus-asr-tamil-clean
Combined ASR dataset built from:
albagon/til26-asr-split (orig rows)
whyismydininghallonfire/asr-tamil-clean (asr_tamil_clean rows)
Audio paths are namespaced under each split to avoid filename collisions:
audio/orig/...
audio/asr_tamil_clean/...
Each row keeps key, audio, transcript, and language, with an added source_dataset field.
Counts:
train: 3595 orig + 891 asr_tamil_clean = 4486
validation: 899 orig + 224 asr_tamil_clean = 1123
hebrew-asr-vn
Hebrew ASR three-source training dataset
Derived from ivrit.ai crowd-transcribe-v5, crowd-recital and knesset-committees.
Original data and transcripts are credited to ivrit.ai and its contributors.
Pinned revisions and preparation rules are in metadata/sources.json and
metadata/preparation-config.json. VoxKnesset is excluded by user decision.
Source/split
Clips
Hours
crowd-recital/test
1,557
1.071
crowd-recital/train
45,372
33.258
crowd-recital/validation
1,033… See the full description on the dataset page: https://huggingface.co/datasets/benderrodriguez/hebrew-asr-vn.quran-asr-mega-corpusASR_NeurIPSuzbek-asr-curated-701h
Uzbek ASR Curated Dataset (701 hours)
A curated multi-source Uzbek speech dataset for automatic speech recognition (ASR) training and evaluation.
Dataset Description
Language
Uzbek (Latin script with okina ʻ)
Total utterances
337,920
Total duration
~701 hours
Audio format
16 kHz mono WAV (PCM_16)
Manifest format
NeMo JSONL
Splits
train (94%) / val (3%) / test (3%)
Splits
Split
Utterances
Hours
Train
317,655… See the full description on the dataset page: https://huggingface.co/datasets/uzinfocom-edu-ai/uzbek-asr-curated-701h.agentic-asr
Agentic ASR
Public consolidated audio and ASR result dataset for the OSWorld and
WildClawBench benchmark families.
Layout
osworld/: synthetic raw/colloquial speech, human recordings, DNS-noise
pairs, task images, ASR results, and reports.
wildclawbench/: 60 formal colloquialized prompts, synthetic speech,
20 synthetic ASR condition tables, and ten-participant human recordings.
task0_template derivatives are excluded.
metadata/conditions.jsonl: model, variant… See the full description on the dataset page: https://huggingface.co/datasets/tterumiimurett1/agentic-asr.book_snippets_asrTech-Sentences-For-ASR-Training
TechVoice Dataset
Work in Progress – This dataset is actively being expanded with new recordings.
Dataset Statistics
Metric
Current
Target
Progress
Duration
38m 43s
5h 0m 0s
██░░░░░░░░░░░░░░░░░░ 12.9%
Words
10,412
50,000
████░░░░░░░░░░░░░░░░ 20.8%
Total Recordings: 205 samples
Total Characters: 74,312
A specialized speech dataset for fine-tuning Automatic Speech Recognition (ASR) models on technical and developer vocabulary. Contains human-recorded… See the full description on the dataset page: https://huggingface.co/datasets/danielrosehill/Tech-Sentences-For-ASR-Training.asr-benchmark-outputs
SaarAI ASR Benchmark Outputs
Raw per-utterance model outputs (transcription manifests) produced by the gsma-asr-bench runners on SaarAI/asr-leaderboard-datasets.
files: 570
utterances: 4615160
languages: 7
models: 50
Layout
data/<language_name>/<split>__<dataset_config>__<model_slug>.jsonl
index.jsonl # one record per file (language, split, model, rows, sha256, ...)
index.csv
Directories categorise by language name; the file name begins with the split name… See the full description on the dataset page: https://huggingface.co/datasets/SaarAI/asr-benchmark-outputs.asr-eval-results-r3ared_ace_asr_error_detection_and_correction
RED-ACE
Dataset Summary
This dataset can be used to train and evaluate ASR Error Detection or Correction models. It was introduced in the RED-ACE paper (Gekhman et al, 2022).
The dataset contains ASR outputs on the LibriSpeech corpus (Panayotov et al., 2015) with annotated transcription errors.
Dataset Details
The LibriSpeech corpus was decoded using Google Cloud Speech-to-Text API, with the default and video models.
The word-level confidence was enabled… See the full description on the dataset page: https://huggingface.co/datasets/google/red_ace_asr_error_detection_and_correction.gendl-hw1-asr-spell-ollama
Исправление ошибок распознавания речи — GenDL HW1
Сгенерированный мой датаест
Поля
Поле
Содержимое
input
Исходный текст, в котором могут быть ошибки распознавания.
output
Целевой исправленный текст.
Файлы
asr_spell_train.jsonl — основной датасет: одна JSON-запись на строку.
asr_spell_train.csv — копия тех же данных в CSV.
Загрузка
from datasets import load_dataset
dataset = load_dataset(… See the full description on the dataset page: https://huggingface.co/datasets/ImFastAsBlitz/gendl-hw1-asr-spell-ollama.Meddies-ASR-Bench
Meddies ASR Bench
This public dataset repository contains the validated 10 full audio chunks
used for the MOSS + Gemini 3.8 Flash smoke benchmark.
Contents
data/full_10_chunks/audio/: ten full MP3 input chunks.
data/full_10_chunks/moss/: the ten source MOSS-Diarize-Transcribe JSON
records.
data/full_10_chunks/manifest.json: chunk paths, offsets, durations, and
embedded MOSS text.
results/: the downloaded Gemini 3.8 hosted run artifacts, including the
ten native… See the full description on the dataset page: https://huggingface.co/datasets/Meddies/Meddies-ASR-Bench.asr-ser-quechua-collao-embeddings
ASR-SER embeddings for Quechua Collao
This repository contains embeddings only. It does not contain raw audio.
These embeddings were extracted for ASR-to-SER transfer experiments on the Quechua Collao emotional speech corpus. The release is intended for reproducible feature-extraction experiments and downstream analysis.
Dataset contents
One PyTorch tensor per utterance stored as an embedding file under embeddings/
A sanitized metadata table describing utterance… See the full description on the dataset page: https://huggingface.co/datasets/QuechuaBase/asr-ser-quechua-collao-embeddings.urdu-asr-error-correction-data
Urdu ASR Generative Error Correction Dataset
This dataset contains paired training and testing data for post-ASR error correction in Urdu.
Dataset Details
Language: Urdu (ur)
Task: ASR Error Correction
License: CC BY-NC 4.0
Dataset Structure
The dataset consists of parallel text pairs containing raw ASR transcripts generated by Whisper-large-v3-turbo alongside their corresponding target corrections (pseudo-gold).
train.jsonl / train.csv:… See the full description on the dataset page: https://huggingface.co/datasets/sajjadiba/urdu-asr-error-correction-data.parakeet-hindi-asr
Parakeet Hindi-English Bilingual ASR
Fine-tuning NVIDIA Parakeet TDT 0.6B for bilingual Hindi-English automatic speech recognition.
Quick Start
# Download
pip install huggingface_hub
huggingface-cli download ketav/parakeet-hindi-asr --repo-type dataset --local-dir ./parakeet-hindi-asr
# Install dependencies
pip install nemo_toolkit[asr] bitsandbytes sentencepiece
# Train (after updating paths in config)
cd parakeet-hindi-asr/scripts
python ft_0.6B_hi_v3.py… See the full description on the dataset page: https://huggingface.co/datasets/ketav/parakeet-hindi-asr.azb-asr-corpusrussian-asr-correctionsKambaBench-ASR
KambaBench-ASR
Status: v0.0 — scaffold. No evaluation audio or gold transcriptions have been finalized yet.
An open, leakage-controlled, reproducible evaluation benchmark for Kamba (Kikamba, kam) automatic speech recognition (ASR).
KambaBench-ASR is designed to provide a common evaluation standard for Kamba speech-recognition systems. The benchmark is intended to be model-agnostic: any Kamba ASR system, whether based on Whisper, MMS, Omnilingual ASR, Parakeet, or another… See the full description on the dataset page: https://huggingface.co/datasets/lawmaluki/KambaBench-ASR.ko-finance-asr-corrections
ko-finance-asr-corrections
Frequency-annotated Korean ASR confusion pairs from finance/stock YouTube.
210 pairs
mined from 2,391 videos of auto-captions
across 47 channels
totalling 1,080.1 hours
Each pair carries how often the term was mangled and how often it was said correctly, plus
verification provenance.
한국어 금융·주식 유튜브 자동자막에서 실측한 ASR 오인식→교정 쌍입니다. 모든 쌍에 오표기·정답
표기 빈도(→ 용어별 오인식률)와 검증 메타데이터(2-LLM 합의 감사, 승격 티어)가 붙어 있습니다.
What makes it different
No public… See the full description on the dataset page: https://huggingface.co/datasets/woongstar/ko-finance-asr-corrections.uzbek-asr-train-manifests
Uzbek ASR Training Manifests
The exact training, validation and test splits behind
rustam1221/uzbek-asr-gigaam:
974 hours of Uzbek speech drawn from seven public corpora, filtered, text-normalized,
and split by speaker.
No audio is copied. Each row is a pointer — a parquet file plus a row
index in the upstream dataset — and the training dataloader decodes the audio
when the batch is built. That keeps the whole corpus definition at 200 MB
instead of roughly a terabyte of… See the full description on the dataset page: https://huggingface.co/datasets/rustam1221/uzbek-asr-train-manifests.darija-asr-benchmark-6speaker
Darija ASR 6-Speaker Benchmark
A fixed, paired 20-utterance benchmark read identically by 6 held-out speakers (3
female: F1, F2, F3; 3 male: M1, M2, M3 -- none present in any training corpus),
used to evaluate cross-speaker generalization for a Moroccan Darija (Arabizi)
Whisper fine-tuning pipeline (paper not yet published -- citation forthcoming).
Consent and anonymization
Written informed consent was obtained from all six speakers for the recording and… See the full description on the dataset page: https://huggingface.co/datasets/zadterishi/darija-asr-benchmark-6speaker.darija-asr-benchmark-6speaker
Darija ASR 6-Speaker Benchmark
A fixed, paired 20-utterance benchmark read identically by 6 held-out speakers (3
female: F1, F2, F3; 3 male: M1, M2, M3 -- none present in any training corpus),
used to evaluate cross-speaker generalization for a Moroccan Darija (Arabizi)
Whisper fine-tuning pipeline (paper not yet published -- citation forthcoming).
Consent and anonymization
Written informed consent was obtained from all six speakers for the recording and… See the full description on the dataset page: https://huggingface.co/datasets/abnajlae/darija-asr-benchmark-6speaker.