datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tedlium-data
Dataset Card for "tedlium-data"
More Information needed
vctk
Dataset Card for "vctk"
More Information needed
librispeech-data
Dataset Card for "librispeech-data"
More Information needed
ganjoor-recitations
Ganjoor Persian Poetry Recitations (Full)
Every published audio recitation on Ganjoor / AVA
paired with its transcription — 30,133 clips, 1,276 hours of audio.
Audio is stored full-length and unchunked, and every clip carries a single
clean transcription in text, so it's ready for ASR / TTS training as-is.
Columns
column
description
audio
full-length mp3 (native sample rate), embedded and playable
text
full transcription of the clip… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/ganjoor-recitations.gtzan
Dataset Card for "gtzan"
More Information needed
earnings22_robust_splitfrom datasets import load_dataset, DatasetDict
ds = load_dataset("anton-l/earnings22_robust", split="test")
print(ds)
print("\n", "Split to ==>", "\n")
# split train 90%/ dev 5% / test 5%
# split twice and combine
train_devtest = ds.train_test_split(shuffle=True, seed=1, test_size=0.1)
dev_test = train_devtest['test'].train_test_split(shuffle=True, seed=1, test_size=0.5)
ds_train_dev_test = DatasetDict({'train': train_devtest['train'], 'validation': dev_test['train'], 'test':… See the full description on the dataset page: https://huggingface.co/datasets/sanchit-gandhi/earnings22_robust_split.earnings22_splitWe partition the earnings22 dataset at https://huggingface.co/datasets/anton-l/earnings22_baseline_5_gram by source_id:
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be released shortly.
ganjoor-recitations-chunked
🗂️ ganjoor-recitations-chunked
English + فارسی · Part of Shenava 1.0 · Project hub · SLT paper submission
🌟 At a glance | معرفی سریع
English
فارسی
🎯 Purpose
Ganjoor recitation chunked ASR dataset.
قطعههای تلاوت و خوانش گنجور برای آموزش و ارزیابی گفتار ادبی، شعر و خوانش رسمی فارسی.
🧩 Role
Persian speech dataset
مجموعهدادهٔ گفتار فارسی
📦 Snapshot
64 files; approximately 118.09 GB
64 فایل؛ حدود 118.09 GB
🧱 Packaging
61 Parquet files and 0… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/ganjoor-recitations-chunked.librispeech_asr_dummy
Dataset Card for librispeech_asr_dummy
Dataset Summary
This is a truncated version of the LibriSpeech dataset. It contains 20 samples from each of the splits. To view the full dataset, visit: https://huggingface.co/datasets/librispeech_asr
LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been… See the full description on the dataset page: https://huggingface.co/datasets/sanchit-gandhi/librispeech_asr_dummy.audioldm-readme-samplesearnings22_split_resampledWe partition the earnings22 dataset at https://huggingface.co/datasets/anton-l/earnings22_baseline_5_gram by source_id:
Validation: 4420696 4448760 4461799 4469836 4473238 4482110
Test: 4432298 4450488 4470290 4479741 4483338 4485244
Train: remainder
Official script for processing these splits will be released shortly.
ganjoor-chunked-asr-datasetrev16_csvlibritts_r_testganapati-atharvashirsha-chantingganjoor-datasetedacc
Draft conversion of EdAcc
Final dataset will be moved to the edinburghcstr organisation.
ganjoor
Ganjoor Persian Speech Dataset
Dataset Description
This dataset contains Persian speech recordings from Ganjoor.ir, segmented based on Persian poetry verses. The audio files have been processed and segmented into manageable chunks suitable for speech-to-text (STT) training and evaluation.
Dataset Summary
Language: Persian (Farsi)
Domain: Persian poetry (classical and contemporary)
Task: Automatic Speech Recognition (ASR)
Format: MP3 audio files with… See the full description on the dataset page: https://huggingface.co/datasets/Alirezav99/ganjoor.expresso-concatenated-half-normalgenshin_impact_ganyu_audio_sample
common_voice_16_1_hi_pseudo_labelled
Common Voice 16.1 Hindi Pseudo-Labelled
This is the Common Voice 16.1 Hindi split pseudo-labelled using the Whisper large-v3 model, according to the instructions detailed
in the Distil-Whisper repository. To reproduce this pseudo-labelling run, follow the instructions detailed here.
ganjoor-chunk-smoke
Ganjoor Recitations — Clean-Cut Chunks
Training-ready ~15-20 s segments derived from
Reza2kn/ganjoor-recitations
(full-length Persian poetry recitations from ganjoor.net). Two columns only: audio (16 kHz mono)
and text — same schema as the source, just many more rows of shorter clips + matching labels.
How it was chunked (never mid-word)
Per recitation (tools/ganjoor_chunk_job.py):
Forced-align gold text to audio with torchaudio MMS_FA (uroman -> per-word times +… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/ganjoor-chunk-smoke.common_voice_13_0_hi_pseudo_labelled
Dataset Card for "common_voice_13_0_hi_pseudo_labelled"
More Information needed
ganapati-atharvashirsha-chanting-wadkarlibrispeech_asr_dummy_pseudo_labelledconcatenated-datasetwhisper-jax-test-files
Dataset Card for "whisper-jax-test-files"
More Information needed
mongolian-commonvoice-stt-translated-fulllibrispeech_asr_dummy_noise-noise
Dataset Card for "librispeech_asr_dummy_noise-noise"
More Information needed
voxpopuli_dummy