datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
expresso
Expresso — audio + text
A faithful re-publication of the official Expresso
dataset (Nguyen et al., Interspeech 2023) as a loadable HuggingFace audio dataset, sourced
directly from FAIR's official tar.
⚠️ License: CC-BY-NC-4.0 — non-commercial use only.
Configs
read — 11.6k mono read-speech utterances with human transcripts.
conversational — ~15.9k mono per-utterance turns derived from the stereo conversational dialogues, transcribed with Whisper Large V3 Turbo.… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/expresso.ViMedCSS-Cop
🩺 ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset (LREC 2026)
📖 Overview
ViMedCSS is a Vietnamese medical speech dataset for code-switching ASR, where each utterance contains at least one non-Vietnamese (mainly English) medical term embedded in Vietnamese speech.
📊 Dataset Statistics
Split Statistics (from ViMedCSS-Metadata)
Split
# Rows
Duration (hours)
Avg duration (s)
Total CS terms
train
11,832
24.30
7.39
12,314… See the full description on the dataset page: https://huggingface.co/datasets/shannonnonshan/ViMedCSS-Cop.shan_language_asr_voices
⭐ A Voice for the Shan People: The SHAN Herald Agency Audio Archive
This is an extensive 306-hour audio dataset of the Shan (Tai-Yai) language, meticulously curated from the public broadcasts of the Shan Herald Agency for News (SHAN). For over two decades, SHAN has been a vital, independent voice for the people of Shan State, Myanmar, chronicling their stories of culture, politics, and the enduring struggle for federal democracy.
This archive stands as one of the largest publicly… See the full description on the dataset page: https://huggingface.co/datasets/freococo/shan_language_asr_voices.ljspeech-mimi-codes
LJSpeech — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens for the
LJSpeech corpus — 13,100 English utterances
from a single female speaker reading public-domain audiobook passages (~24 hours).
This dataset contains codes only, not audio. For waveforms, go to the original LJSpeech
release; these codes are designed to be loaded alongside it for training Mimi-based speech
models without paying the ~1 hour of GPU extraction cost.
Schema
One row per utterance:… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/ljspeech-mimi-codes.librispeech-mimi-codes
LibriSpeech — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens for the
LibriSpeech corpus — multi-speaker English audiobook readings
from the LibriVox project.
This dataset contains codes only, not audio. For waveforms, use any of the LibriSpeech
mirrors (e.g. openslr/librispeech_asr);
these codes let you skip the ~hours of GPU extraction needed to train Mimi-based speech models.
Schema
One row per utterance:
Column
Type
Notes
id
string… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/librispeech-mimi-codes.mls-mimi-codes
Multilingual LibriSpeech (MLS) — Mimi Codes
Pre-extracted Kyutai Mimi neural-codec tokens
for Multilingual LibriSpeech —
LibriVox audiobooks in 7 non-English languages.
English is intentionally excluded. For English Mimi codes, use:
shangeth/librispeech-mimi-codes — LibriSpeech (~280k rows, 7 splits)
shangeth/libritts-r-mimi-codes — LibriTTS-R (~360k rows, 7 splits, 24 kHz native)
shangeth/vctk-mimi-codes — VCTK (~44k rows, 110 speakers w/ accents)
shangeth/jenny-mimi-codes — Jenny… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/mls-mimi-codes.expresso-mimi-codes
Expresso — Mimi Codes (k = 32)
Pre-extracted Kyutai Mimi tokens (all 32 codebooks) for both the read and conversational subsets of Expresso. Source audio + transcripts live in shangeth/expresso; this dataset publishes the discrete-token version for training Mimi-based speech models without re-extracting.
⚠️ License: CC-BY-NC-4.0 — non-commercial use only.
Why Expresso for Wren?
Expresso is the most directly relevant dataset for speech disentanglement research — the… See the full description on the dataset page: https://huggingface.co/datasets/shangeth/expresso-mimi-codes.rfa_shan_language_voices
RFA Shan Language Voices
This dataset contains 20.58 hours of audio in the Shan (Tai-Yai) language, sourced from news broadcasts by Radio Free Asia (RFA) Burmese. This is one of the largest publicly accessible audio resources for the Shan language, designed to support research in low-resource automatic speech recognition (ASR), voice activity detection, and other speech-related tasks.
The audio has been automatically segmented into 5,047 manageable chunks and prepared in the… See the full description on the dataset page: https://huggingface.co/datasets/freococo/rfa_shan_language_voices.FYP_Fine_Tuning
Dataset Card for Dataset Name
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Dataset Details
Dataset Description
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Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/shane062/FYP_Fine_Tuning.