datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mls_eng_10k
Dataset Summary
This is a 10K hours subset of English version of the Multilingual LibriSpeech (MLS) dataset.
The data archives were restructured from the original ones from OpenSLR to make it easier to stream.
MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of
8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls_eng_10k.parler-tts_mls_eng_10k_snac_token_old
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/parler-tts_mls_eng_10k_snac_token_old.bangla-10k
Bangla-10K: A Challenging, Metadata-Rich Corpus of Read and Conversational Bengali Speech from India and Bangladesh
Bangla-10K is a 10,816-hour Bengali speech corpus with
624,951 recordings from India and Bangladesh: a 10,070.8-hour core corpus
(567,323 recordings) and a separately collected 745.1-hour evaluation set
(57,628 recordings). It combines scripted single-speaker read speech with
natural multi-speaker conversations for Bengali automatic speech recognition
(ASR).
The… See the full description on the dataset page: https://huggingface.co/datasets/psdn-ai/bangla-10k.mls-eng-10k-tags_tagged_10k_generated
Dataset Card for Annotations of 10K hours of English MLS
This dataset consists in annotations of a 10K hours subset of English version of the Multilingual LibriSpeech (MLS) dataset.
MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of
8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls-eng-10k-tags_tagged_10k_generated.Irodori-Ja-Spk4-10k
SynDataLab/Irodori-Ja-Spk4-10k
10,000 single-speaker conversational Japanese utterances synthesized with Irodori-TTS-500M-v2. Part of a 4-speaker family — see also Spk1, Spk2, Spk3, Spk4 repos.
Speaker (Spk4): 30s female, news-anchor mature — 30代女性、ニュースキャスター風の落ち着いた声.
How this speaker was made
The voice identity for Spk4 was created in two stages:
Stage 1 — voice anchor design. Using Irodori-TTS-500M-v2-VoiceDesign, several candidate audio samples were synthesized… See the full description on the dataset page: https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk4-10k.Irodori-Ja-Spk3-10k
SynDataLab/Irodori-Ja-Spk3-10k
10,000 single-speaker conversational Japanese utterances synthesized with Irodori-TTS-500M-v2. Part of a 4-speaker family — see also Spk1, Spk2, Spk3, Spk4 repos.
Speaker (Spk3): 40s male, low calm mature — 40代男性、低めで穏やかな落ち着いた声.
How this speaker was made
The voice identity for Spk3 was created in two stages:
Stage 1 — voice anchor design. Using Irodori-TTS-500M-v2-VoiceDesign, several candidate audio samples were synthesized from the… See the full description on the dataset page: https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk3-10k.Hypa-Speech-10k
A multilingual instruction-tuning dataset covering translation,transcription, and language detection.
Dataset Card for Hypa-Speech-10k
Dataset Summary
Hypa-Speech-10k is a curated, multilingual speech dataset consisting of 10,000 audio-text pairs spanning 18 languages, including several low-resource African languages that are under-represented in mainstream speech datasets.
The source text and base audio for this dataset were drawn from the Mozilla Common… See the full description on the dataset page: https://huggingface.co/datasets/hypaai/Hypa-Speech-10k.Ficbook-Audio-Instruct-10K
Ficbook Audio Instruct 10K
Synthetic audio instruction dataset for training Russian audio-language models.
Contains ~10K samples of fiction text voiced with OpenAI TTS and paired with diverse instruction tasks.
Dataset Description
This dataset was created for training and evaluating audio-language models on Russian fiction content.
Each sample contains:
Audio: Fiction text voiced using OpenAI's gpt-4o-mini-tts model
Text: Original text from ficbook stories
Question:… See the full description on the dataset page: https://huggingface.co/datasets/Vikhrmodels/Ficbook-Audio-Instruct-10K.Irodori-Ja-Spk1-10k
SynDataLab/Irodori-Ja-Spk1-10k
10,000 single-speaker conversational Japanese utterances synthesized with Irodori-TTS-500M-v2. Part of a 4-speaker family — see also Spk1, Spk2, Spk3, Spk4 repos.
Speaker (Spk1): 30s male, calm conversational — 30代男性、落ち着いた自然な会話調.
How this speaker was made
The voice identity for Spk1 was created in two stages:
Stage 1 — voice anchor design. Using Irodori-TTS-500M-v2-VoiceDesign, several candidate audio samples were synthesized from… See the full description on the dataset page: https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk1-10k.mls-eng-10k-tags_tagged_10k_generated
Dataset Card for Annotations of 10K hours of English MLS
This dataset consists in annotations of a 10K hours subset of English version of the Multilingual LibriSpeech (MLS) dataset.
MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of
8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours… See the full description on the dataset page: https://huggingface.co/datasets/pharaouk/mls-eng-10k-tags_tagged_10k_generated.Hypa-Speech-10k
A multilingual instruction-tuning dataset covering translation,transcription, and language detection.
Dataset Card for Hypa-Speech-10k
Dataset Summary
Hypa-Speech-10k is a curated, multilingual speech dataset consisting of 10,000 audio-text pairs spanning 18 languages, including several low-resource African languages that are under-represented in mainstream speech datasets.
The source text and base audio for this dataset were drawn from the Mozilla Common… See the full description on the dataset page: https://huggingface.co/datasets/Kppwdfgu1/Hypa-Speech-10k.Irodori-Ja-Spk2-10k
SynDataLab/Irodori-Ja-Spk2-10k
10,000 single-speaker conversational Japanese utterances synthesized with Irodori-TTS-500M-v2. Part of a 4-speaker family — see also Spk1, Spk2, Spk3, Spk4 repos.
Speaker (Spk2): 30s female, narrator-style natural — 30代女性、ナレーター風の自然な声.
How this speaker was made
The voice identity for Spk2 was created in two stages:
Stage 1 — voice anchor design. Using Irodori-TTS-500M-v2-VoiceDesign, several candidate audio samples were synthesized… See the full description on the dataset page: https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk2-10k.