datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
YO-CPT-ru
YO-CPT-ru
YouTube-Oriented dataset for Continual Pre-Training (Russian). A large, heavily
quality-filtered corpus of Russian speech mined from YouTube (via YODAS2)
and processed into clean, single-speaker, TTS-grade utterances. Every utterance ships with an
ensemble-verified transcription, a punctuated/denormalized and stress-marked text variant, word-level
forced alignment, within- and cross-video speaker identities, an audio-quality (MOS) score, and a
speaker persona built… See the full description on the dataset page: https://huggingface.co/datasets/NCSpeech/YO-CPT-ru.Omnimodal-Agent-SFT-2K
OmniGAIA: Omni-Modal General AI Assistant Benchmark
📄 Paper
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💻 Code & Demo
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🤗 Dataset & Model
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📈 Leaderboard
This dataset contains omni-modal agent supervised fine-tuning (SFT) trajectories in the LlamaFactory SFT data format. You can directly follow LlamaFactory's instructions to fine-tune your omni-modal LLMs.OmniGAIA is a benchmark for Omni-Modal General AI Assistants that jointly reason over vision, audio, and language with external tools. It is… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/Omnimodal-Agent-SFT-2K.musixdialogs-ru-emotional-conversations
Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus
Dialogs is a 20.6-hour studio-quality corpus of expressive, conversational
Russian speech, designed for dialog-oriented and emotional text-to-speech.
Unlike existing Russian corpora — mostly single-speaker read speech or large but
low-quality web-mined audio — Dialogs was recorded by professional theatre actors
performing scripted dialogs face-to-face, capturing natural turn-taking,
timing, and expressive… See the full description on the dataset page: https://huggingface.co/datasets/langswap/dialogs-ru-emotional-conversations.gdpval_preference_rubricsbiggest-ru-bookA bigger version of its5Q/bigger-ru-book, the smaller set being a subset of this one. Almost 1000 hours of high-quality audio.
ILRDF_Dict_Rukai
FormosanBank publication status
This audio is associated with XML published in the public FormosanBank corpus and uses the same license recorded in that XML: CC BY-NC 4.0. View the published XML. Publication approval is recorded on the corresponding FormosanBank Basecamp card.
FormosanBank/ILRDF_Dict_Rukai
This is a noncanonical compatibility mirror. Use FormosanBank/ILRDF_Dicts for the complete canonical dataset and stable download contract.
This mirror… See the full description on the dataset page: https://huggingface.co/datasets/FormosanBank/ILRDF_Dict_Rukai.russia_voicesRussian voices for train AI.
♀ Male and ♂ Female
Male voices - 497 pcs.
Female voices - 244 pcs.
Prepared for training fish-speech
The author is not responsible for the votes.
Use at your own risk.
license: apache-2.0
task_categories:
- zero-shot-classification
language:
- ru
size_categories:
- 1B<n<10B
OmniGAIA
OmniGAIA: Omni-Modal General AI Assistant Benchmark
📄 Paper
•
💻 Code & Demo
•
🤗 Dataset & Model
•
📈 Leaderboard
OmniGAIA is a benchmark for Omni-Modal General AI Assistants that jointly reason over vision, audio, and language with external tools. It is designed to evaluate long-horizon, multi-hop, open-form problem solving in realistic settings rather than short perception-only QA.
Benchmark Construction
The OmniGAIA construction… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/OmniGAIA.russian_librispeech
Russian LibriSpeech (RuLS)
Identifier: SLR96 from openslr.org
Summary: This dataset is based on LibriVox audiobooks
Category: Speech
License: The dataset is Public Domain in the USA.
About this resource:
Russian LibriSpeech (RuLS) dataset is based on LibriVox's public domain audio books (see BOOKS.TXT for the list of included books) and contains about 98 hours of audio data.
sova_rudevices
Dataset Card for sova_rudevices
Dataset Summary
SOVA Dataset is free public STT/ASR dataset. It consists of several parts, one of them is SOVA RuDevices. This part is an acoustic corpus of approximately 100 hours of 16kHz Russian live speech with manual annotating, prepared by SOVA.ai team.
Authors do not divide the dataset into train, validation and test subsets. Therefore, I was compelled to prepare this splitting. The training subset includes more than 82 hours, the… See the full description on the dataset page: https://huggingface.co/datasets/bond005/sova_rudevices.runeterra-chill-assetssova_rudevices_audiobooks
Dataset instance structure
{'audio': {'path': '/path/to/wav.wav',
'array': array([wav numpy array]), dtype=float32),
'sampling_rate': 16000},
'transcription': 'транскрипция'}
Dataset audio info
16000 Hz
wav
mono
Russian speech from audiobooks
Citation
@misc{sova2021rudevices,
author = {Zubarev, Egor and Moskalets, Timofey and SOVA.ai},
title = {SOVA RuDevices Dataset: free public STT/ASR dataset with manually annotated live speech},
publisher =… See the full description on the dataset page: https://huggingface.co/datasets/dangrebenkin/sova_rudevices_audiobooks.rulibrispeech
Dataset Card for "rulibrispeech"
More Information needed
audio_data_russian_backup
Dataset Audio Russian Backup
This is a backup dataset with Russian audio data, split into train_0 to train_49 for tasks like text-to-speech, speech recognition, and speaker identification.
Features
text: Audio transcription (string).
speaker_name: Speaker identifier (string).
audio: Audio file.
Usage
Load the dataset like this:
from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian_backup", split="train_0") # Or any train_X… See the full description on the dataset page: https://huggingface.co/datasets/kijjjj/audio_data_russian_backup.archi_rutul_asr
Data Sources
Archi
@misc{kibrik2007Archi,
title = {Archi text corpus (1.0)},
author = {Kibrik, Aleksandr E. and Kodzasov, Sandro V. and Olovyannikova, Irina P. and Samedov, Dzhalil S. and Daniel, Michael and Khoroshkina, Anna and Arkhipov, Alexandre},
year = {2007},
url = { https://doi.org/10.5281/zenodo.8247597}
}
Kina Rutul
@misc{alekseevaetal2024,
title = {Dictionary of Kina Rutul},
author = {Alekseeva, Anastasia and Beklemishev, Nikita and Daniel… See the full description on the dataset page: https://huggingface.co/datasets/mahesh27/archi_rutul_asr.f5_tts_ru_accent
Original datasets:
https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0
https://huggingface.co/datasets/bond005/sberdevices_golos_10h_crowd
https://huggingface.co/datasets/bond005/sberdevices_golos_100h_farfield
https://huggingface.co/datasets/bond005/sova_rudevices
https://huggingface.co/datasets/Aniemore/resd_annotated
so-vits-svc-4.0-ru-The_Witcher_3_Wild_HuntЭто тренировочные данные моделей голосов персонажей из "Ведьмак 3: Дикая охота" для so-vits-svc-4.1.1
RU-AI-noise
RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection
This is the noise agumented data for paper: RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection
The original dataset is avaliable at zenodo:
https://zenodo.org/records/11406538
The official repo is avaliable at:
https://github.com/ZhihaoZhang97/RU-AI
Reference
We are appreciated the open-source community for the datasets and the models.
Microsoft COCO: Common Objects in… See the full description on the dataset page: https://huggingface.co/datasets/zzha6204/RU-AI-noise.Rural_Women_ASR_v2
Rural Women ASR Dataset (Hindi & Bhojpuri)
The Rural Women ASR Dataset is part of the Recognizing Every Voice initiative, which focuses on building inclusive Automatic Speech Recognition (ASR) systems for rural women in India.
It includes Hindi and Bhojpuri speech data collected from rural women speakers, covering diverse age groups, regions, and socio-economic backgrounds.
🧩 Dataset Summary
Feature
Description
language
Language of the utterance (Hindi… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/Rural_Women_ASR_v2.audio_data_russian
Dataset Audio Russian
This is a dataset with Russian audio data, split into train for tasks like text-to-speech, speech recognition, and speaker identification.
Features
text: Audio transcription (string).
speaker_name: Speaker identifier (string).
audio: Audio file.
Usage
Load the dataset like this:
from datasets import load_dataset
dataset = load_dataset("kijjjj/audio_data_russian", split="train")
print(dataset[0])
ru-asr-audioRuASDRuASD: Russian Anti-Spoofing Dataset
RuASD is a public Russian-language speech anti-spoofing dataset designed for developing and benchmarking audio deepfake detection systems. It combines spoofed utterances generated by 37 Russian-capable speech synthesis systems with bona fide recordings curated from multiple heterogeneous Russian speech corpora. In addition to clean audio, the dataset supports robustness-oriented evaluation through reproducible perturbations such as reverberation… See the full description on the dataset page: https://huggingface.co/datasets/lab260/RuASD.russian_audio_datamulti_ds_asiaRural_Women_Bhojpuri
Rural Bhojpuri ASR Dataset
Dataset Description
This dataset is curated to foster the development of inclusive Automatic Speech Recognition (ASR) systems, with a special focus on the underrepresented voices of rural Bhojpuri women. It contains audio clips in both Bhojpuri and Hindi, collected from real-world and synthetic sources, designed to train and evaluate ASR models that can accurately recognize diverse speech patterns.
This work is part of the research presented in… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/Rural_Women_Bhojpuri.ruv_tv_unknown_speakersDataset copied from http://hdl.handle.net/20.500.12537/191 by Reykjavik University.
Information can be found at that link.
RUV TV unknown speakers
About the RUV TV unknown speakers corpus
The RUV TV unknown speakers corpus is 281 hours of TV data from six RÚV TV
shows. The data continas 221,759 utterrances from various unlabelled speakers.
The text is normalized. The data is aligned and segmented, ready for ASR
training. Audio conditions vary between recordings. This data set is… See the full description on the dataset page: https://huggingface.co/datasets/tiro-is/ruv_tv_unknown_speakers.russian-single-speaker-speech-datasetru-asr-datasetSlideASR-Bench