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.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.
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.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.