datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DeepDialogue-orpheus
DeepDialogue-orpheus
DeepDialogue-orpheus is a large-scale multimodal dataset containing 40,150 high-quality multi-turn dialogues spanning 41 domains and incorporating 20 distinct emotions with coherent emotional progressions. This repository contains the Orpheus variant of the dataset, where speech is generated using Orpheus, a state-of-the-art TTS model that infers emotional expressions implicitly from text.
🚨 Important Notice
This dataset is large (~180GB) due to… See the full description on the dataset page: https://huggingface.co/datasets/SALT-Research/DeepDialogue-orpheus.Bambara-Speech-Translation-Data
AfVoices-Translated (Bambara-English)
This is a Bambara speech translation dataset, which is built on the African Next Voices (AfVoices) Bambara ASR corpus. It provides English translations for the human-corrected subset of the original collection, creating a parallel corpus for Bambara-English machine translation and speech-to-text tasks.
Methodology
We machine-translated the human-validated transcriptions from AfVoices using the Oolel-translator repository.
Inference… See the full description on the dataset page: https://huggingface.co/datasets/soynade-research/Bambara-Speech-Translation-Data.reazonspeech
Dataset Card for ReazonSpeech
Dataset Summary
This dataset contains a diverse set of natural Japanese speech, collected
from terrestrial television streams. It contains more than 35000 hours of
audio.
Paper: ReazonSpeech: A Free and Massive Corpus for Japanese ASR
Disclaimer
TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET
SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4.
Dataset Format
Audio files are available in FLAC… See the full description on the dataset page: https://huggingface.co/datasets/reazon-research/reazonspeech.DeepDialogue-xtts
DeepDialogue-xtts
DeepDialogue-xtts is a large-scale multimodal dataset containing 40,150 high-quality multi-turn dialogues spanning 41 domains and incorporating 20 distinct emotions with coherent emotional progressions.
This repository contains the XTTS-v2 variant of the dataset, where speech is generated using XTTS-v2 with explicit emotional conditioning.
🚨 Important
This dataset is large (~180GB) due to the inclusion of high-quality audio files. When cloning the… See the full description on the dataset page: https://huggingface.co/datasets/SALT-Research/DeepDialogue-xtts.Wolof-ASR-DataA curated Wolof ASR dataset from various sources:
Split
Fleurs
Alfa
CV
Kallama
UB
Total
Train
8.72
16.13
34.97
33.60
4.52
97.94
Test
1.75
2.84
6.21
5.91
1.12
17.83
This dataset was used to finetune Wolof-HuBERT-Base for ASR.
ai-researcher-roadmap-media
AI Researcher Roadmap Media
Optional video and subtitle assets for the
AI Researcher Roadmap
application.
Repository layout
manifest.json: file sizes and SHA-256 checksums used by the application.
videos/<stem>.mp4: lecture video.
subs/<stem>.<language>.vtt: subtitle tracks.
subs/<stem>.asr.<language>.vtt: ASR-generated subtitle tracks.
The application downloads only the selected lecture and its subtitle tracks.
Files are cached locally and can be played offline… See the full description on the dataset page: https://huggingface.co/datasets/kadirnar/ai-researcher-roadmap-media.ukr-dialects-audio-dataset
Ukrainian Dialects Audio Dataset
Merged Ukrainian dialect speech dataset combining 5 speaker datasets, with train/validation/test splits.
Dataset Description
This dataset contains audio recordings of Ukrainian dialect speech, merged from the following source datasets:
NaUKMA-Audio-Dataset
Ivanna-Stefiuk-Audio-Dataset
Larysa-Irodenko-Audio-Dataset
Hutsulendia-Audio-Dataset
Dido-Yvanchyk-Audio-Dataset-v2
Dataset Structure
train: 27,675 samples
validation: 3… See the full description on the dataset page: https://huggingface.co/datasets/KSE-RESEARCH-Group/ukr-dialects-audio-dataset.apple-speechanalyzer-vs-whisper-cpp-mac
Apple SpeechAnalyzer vs whisper.cpp on Mac
Four complete speech-recognition benchmark runs over the same deterministic
40-speaker LibriSpeech test-clean snapshot:
Engine
Model path
WER
CER
Repeated median post-speech latency
Repeated p95
Apple SpeechAnalyzer
progressiveTranscription on macOS 26.5
1.98%
1.02%
125–132 ms
194–201 ms
whisper.cpp server
1.8.4 · ggml-small.en
4.28%
1.79%
122–125 ms
152–161 ms
Every run completed 40/40 clips with no failures. Accuracy… See the full description on the dataset page: https://huggingface.co/datasets/researchaudio/apple-speechanalyzer-vs-whisper-cpp-mac.thaha-research-data2-v2
Nepali Speech Dataset (YouTube-sourced)
441 labeled speech segments, split by channel (not by individual video) so the same speaker/recording can't appear in more than one split.
Splits
train: 441 segments
validation: 0 segments
test: 0 segments
Transcript columns — read this before training
Each segment carries three transcript variants. They are NOT interchangeable:
text_original — the YouTube caption text (if any) that overlapped this… See the full description on the dataset page: https://huggingface.co/datasets/lilgoose777/thaha-research-data2-v2.thaha-research-data1
Nepali Speech Dataset (YouTube-sourced)
59 labeled speech segments, split by channel (not by individual video) so the same speaker/recording can't appear in more than one split.
Splits
train: 59 segments
validation: 0 segments
test: 0 segments
Transcript columns — read this before training
Each segment carries three transcript variants. They are NOT interchangeable:
text_original — the YouTube caption text (if any) that overlapped this segment's… See the full description on the dataset page: https://huggingface.co/datasets/lilgoose777/thaha-research-data1.thaha-research-data2
Nepali Speech Dataset (YouTube-sourced)
63 labeled speech segments, split by channel (not by individual video) so the same speaker/recording can't appear in more than one split.
Splits
train: 63 segments
validation: 0 segments
test: 0 segments
Transcript columns — read this before training
Each segment carries three transcript variants. They are NOT interchangeable:
text_original — the YouTube caption text (if any) that overlapped this segment's… See the full description on the dataset page: https://huggingface.co/datasets/lilgoose777/thaha-research-data2.thaha-research-data2-v2-v2
Nepali Speech Dataset (YouTube-sourced)
76 labeled speech segments, split by channel (not by individual video) so the same speaker/recording can't appear in more than one split.
Splits
train: 76 segments
validation: 0 segments
test: 0 segments
Transcript columns — read this before training
Each segment carries three transcript variants. They are NOT interchangeable:
text_original — the YouTube caption text (if any) that overlapped this segment's… See the full description on the dataset page: https://huggingface.co/datasets/lilgoose777/thaha-research-data2-v2-v2.nepal-oral-speech-research
Nepal Oral Speech (Research)
Gated research speech corpus for approved researchers and partner techs (AkAiNp).
Clips with backbone license research only
Includes self and guardian modes when research license was chosen
Rich metadata for dialect / origin / consent versions
Not a substitute for the private API vault (private clips never land here by default)
Public users should use nepal-oral-packs-open and nepal-oral-demo instead.
Access
Request access on the… See the full description on the dataset page: https://huggingface.co/datasets/AkAiNp/nepal-oral-speech-research.