datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
russian-road-signs
Датасет размеченных знаков
Датасет размеченных дорожных знаков для задач компьютерного зрения и детекции объектов.
Загрузка
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Dognellaf/russian-road-signs",
repo_type="dataset",
local_dir="./russian-road-signs"
)
Описание
Датасет содержит размеченные вручную кадры из видеозаписей с российскими дорожными знаками. Разметка в формате YOLO.
Изображений: 43 851 (JPEG)… See the full description on the dataset page: https://huggingface.co/datasets/Dognellaf/russian-road-signs.wikiomnia
Dataset Card for "Wikiomnia"
Dataset Summary
We present the WikiOmnia dataset, a new publicly available set of QA-pairs and corresponding Russian Wikipedia article summary sections, composed with a fully automated generative pipeline. The dataset includes every available article from Wikipedia for the Russian language. The WikiOmnia pipeline is available open-source and is also tested for creating SQuAD-formatted QA on other domains, like news texts, fiction, and social… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/wikiomnia.coat
Dataset Card for CoAT🧥
Dataset Description
CoAT🧥 (Corpus of Artificial Texts) is a large-scale corpus for Russian, which consists of 246k human-written texts from publicly available resources and artificial texts generated by 13 neural models, varying in the number of parameters, architecture choices, pre-training objectives, and downstream applications.
Each model is fine-tuned for one or more of six natural language generation tasks, ranging from paraphrase generation… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/coat.Kazakh-Russian-Child-Directed-Speech-Corpus
Kazakh-Russian Child-Directed Language Corpus
Dataset Description
The corpus combines narrative texts and child-adult dialogue transcripts in Kazakh and Russian. It was created to support research on low-resource NLP, language acquisition, language modeling, and morphologically aware tokenization.
The corpus includes narrative materials such as fairy tales, children’s literature, cartoons/subtitles, translated stories, and educational texts.
This dataset is a work… See the full description on the dataset page: https://huggingface.co/datasets/esimijoq/Kazakh-Russian-Child-Directed-Speech-Corpus.ru-big-russian-dataset
Big Russian Dataset
Made by ZeroAgency.ru - telegram channel.
Dataset size
Train: 1 710 601 samples (filtered from 2_149_360)
Test: 18 520 samples (not filtered)
English
The Big Russian Dataset is a combination of various primarily Russian‑language datasets. With some sort of reasoning!
The dataset was deduplicated, cleaned, scored using gpt-4.1 and filtered.
Русский
Big Russian Dataset - большой русский датасет. Комбинация из… See the full description on the dataset page: https://huggingface.co/datasets/ZeroAgency/ru-big-russian-dataset.russian_dialoguesДатасет русских диалогов собранных с Telegram чатов.
Диалоги имеют разметку по релевантности.
Также были сгенерированы негативные примеры с помощью перемешивания похожих ответов.
Количество диалогов - 2 миллиона
Формат датасета:
{
'question': 'Привет',
'answer': 'Привет, как дела?'
'relevance': 1
}
Программа парсинга: https://github.com/Den4ikAI/telegram_chat_parser
Citation:
@MISC{russian_instructions,
author = {Denis Petrov},
title = {Russian dialogues… See the full description on the dataset page: https://huggingface.co/datasets/Den4ikAI/russian_dialogues.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
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.
russian_super_glueRecent advances in the field of universal language models and transformers require the development of a methodology for
their broad diagnostics and testing for general intellectual skills - detection of natural language inference,
commonsense reasoning, ability to perform simple logical operations regardless of text subject or lexicon. For the first
time, a benchmark of nine tasks, collected and organized analogically to the SuperGLUE methodology, was developed from
scratch for the Russian language. We provide baselines, human level evaluation, an open-source framework for evaluating
models and an overall leaderboard of transformer models for the Russian language.rublimp
RuBLiMP
Dataset Description
RuBLiMP, or Russian Benchmark of Linguistic Minimal Pairs, is the first diverse and large-scale benchmark of minimal pairs in Russian.
RuBLiMP includes 45k minimal pairs of sentences that differ in grammaticality and isolate morphological, syntactic, or semantic phenomena. In contrast to existing benchmarks of linguistic minimal pairs, RuBLiMP is created by applying linguistic perturbations to automatically annotated sentences from open text… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/rublimp.russian-old-orthography-ocr
Basic Description
Dataset contains source images and human-readable extracted texts. All texts were published in Russia in the 19th century and written using pre-reform orthography.
The dataset is designed to train and evaluate optical character recognition systems for texts published in Russian before the orthographic reform (1917).
Data structure
For each text there is a file with its image and the text corresponding to this image. The names of these files are the same… See the full description on the dataset page: https://huggingface.co/datasets/nevmenandr/russian-old-orthography-ocr.SPEEED_s3_words_russian_300k-600krussian_dialogues_2
Den4ikAI/russian_dialogues_2
Датасет русских диалогов для обучения диалоговых моделей.
Количество диалогов - 1.6 миллиона
Формат датасета:
{
'sample': ['Привет', 'Привет', 'Как дела?']
}
Citation:
@MISC{russian_instructions,
author = {Denis Petrov},
title = {Russian context dialogues dataset for conversational agents},
url = {https://huggingface.co/datasets/Den4ikAI/russian_dialogues_2},
year = 2023
}
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.SPEEED_s3_words_russian_0k-300kwhisper-small-russiantapeThe Winograd schema challenge composes tasks with syntactic ambiguity,
which can be resolved with logic and reasoning (Levesque et al., 2012).
The texts for the Winograd schema problem are obtained using a semi-automatic
pipeline. First, lists of 11 typical grammatical structures with syntactic
homonymy (mainly case) are compiled. For example, two noun phrases with a
complex subordinate: 'A trinket from Pompeii that has survived the centuries'.
Requests corresponding to these constructions are submitted in search of the
Russian National Corpus, or rather its sub-corpus with removed homonymy. In the
resulting 2+k examples, homonymy is removed automatically with manual validation
afterward. Each original sentence is split into multiple examples in the binary
classification format, indicating whether the homonymy is resolved correctly or
not.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])
russianPoetryrussian_instructions_2June 10:
Почищены криво переведенные примеры кода
Добавлено >50000 человеческих примеров QA и инструкций
Обновленная версия русского датасета инструкций и QA.
Улучшения:
1. Увеличен размер с 40 мегабайт до 130 (60к сэмплов - 200к)
2. Улучшено качество перевода.
Структура датасета:
{
"sample":[
"Как я могу улучшить свою связь между телом и разумом?",
"Начните с разработки регулярной практики осознанности. 2. Обязательно практикуйте баланс на нескольких уровнях: физическом… See the full description on the dataset page: https://huggingface.co/datasets/Den4ikAI/russian_instructions_2.Russian_Documents_Dataset_PDF
Russian Documents Dataset (PDF)
This dataset contains a curated collection of Russian-language documents in PDF format. The corpus includes books, academic papers, government publications, articles, and educational materials written in Russian. It is designed to support AI research in OCR, document understanding, and multilingual text recognition.
Contact
For queries or collaborations related to this dataset, contact:
anoushka@kgen.io
abhishek.vadapalli@kgen.io… See the full description on the dataset page: https://huggingface.co/datasets/HumynLabs/Russian_Documents_Dataset_PDF.russian_dialogues_2_parquet
russian_dialogues_2 (Parquet mirror)
A Parquet mirror of Den4ikAI/russian_dialogues_2,
converted from dataset.jsonl.gz into Parquet shards (~12MB each) for native streaming and sharding.
russian-names
Russian Names with Popularity Scores
Description
This dataset contains over 12,000 multinational given names in Russia, including their popularity ranks and scores. The data is based on statistics published by the Unified State Register of Civil Status Records (EGR ZAGS) as of July 2025.
Usage
The dataset can be loaded using the Hugging Face datasets library.
from datasets import load_dataset
dataset = load_dataset("rustemgareev/russian-names", split='train')… See the full description on the dataset page: https://huggingface.co/datasets/rustemgareev/russian-names.russian_audio_datarussian-supreme-court-plenum-acts
Plenum Resolutions of the Supreme Court of Russia (1961–2026)
Every act published in the «Постановления Пленума» section of the Russian Supreme Court's
website: 1,504 records — 1,503 plenum resolutions plus 1 meeting
agenda — with full texts, metadata and the court's original attachments. Coverage
1961–2026; completeness verified against the court's own index at collection time
(the section reported exactly 1,504 documents).
Постановления Пленума ВС РФ — руководящие разъяснения… See the full description on the dataset page: https://huggingface.co/datasets/Alexey5676/russian-supreme-court-plenum-acts.russian-it-community-corpus
📦 Russian IT Community Corpus (RICC)
Russian IT Community Corpus (RICC) is an open, de-identified conversational dataset collected from 11 engineering community nodes spanning a 9-year timeline (2017–2026). It captures authentic discussions on backend systems, cloud infrastructure, AI/ML deployment, database internals, and software architecture.
The corpus is structured into ready-to-use splits for Instruction Fine-Tuning (SFT), Direct Preference Optimization (DPO)… See the full description on the dataset page: https://huggingface.co/datasets/wwewtech/russian-it-community-corpus.russian-handwriting-ocr
Russian Handwritten Text Recognition Dataset
Датасет для распознавания русских рукописных текстов (сочинений).
Описание
Этот датасет содержит изображения рукописных русских текстов с их расшифровкой.
Предназначен для дообучения vision-language моделей (например, Qwen3 VL) на задачу OCR русского рукописного текста.
Статистика
Всего образцов: 13050
Train: 11745
Validation: 1305
Уникальных текстов: 575
Средняя длина текста: 3790 символов
Типы изображений… See the full description on the dataset page: https://huggingface.co/datasets/rustensai/russian-handwriting-ocr.audio_data_russian_annotated_backuprussian_instructionsНовая версия: https://huggingface.co/datasets/Den4ikAI/russian_instructions_2
Русский датасет инструкций и QA.
Структура датасета:
{
"dialogue":[
"Как я могу улучшить свою связь между телом и разумом?",
"Начните с разработки регулярной практики осознанности. 2. Обязательно практикуйте баланс на нескольких уровнях: физическом, эмоциональном, умственном и духовном. 3. Свяжитесь с природой, когда это возможно - идите на прогулки или бегайте на улице, или просто сидите в парке и… See the full description on the dataset page: https://huggingface.co/datasets/Den4ikAI/russian_instructions.Russian-PD
🇷🇺 Russian Public Domain 🇷🇺
Russian-Public Domain or Russian-PD is a large collection aiming to aggregate all Russian monographies and periodicals in the public domain.
Dataset summary
The collection contains 8525 titles making up 995,163,165 words recovered from the Internet Archive. Each parquet file has the full text of 2,000 books selected at random.
Curation method
The composition of the dataset adheres to the criteria for public domain works in the… See the full description on the dataset page: https://huggingface.co/datasets/PleIAs/Russian-PD.