datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ai-medical-chatbot
AI Medical Chatbot Dataset
This is an experimental Dataset designed to run a Medical Chatbot
It contains at least 250k dialogues between a Patient and a Doctor.
Playground ChatBot
ruslanmv/AI-Medical-Chatbot
For furter information visit the project here:
https://github.com/ruslanmv/ai-medical-chatbot
sports-trends-dataset
⚽🏀🎾🏏 Sports-Trends Dataset
A leakage-safe, multi-sport match data lake — raw fixtures → engineered features → training splits.
The data backbone of Ruslan Magana Sports Intelligence — refreshed automatically every day.
TL;DR — A continuously-updated, medallion-architecture data lake for football,
basketball, tennis and cricket: immutable raw ingests, cleaned/standardized layers, an
engineered feature store, and ready-to-train chronological splits in… See the full description on the dataset page: https://huggingface.co/datasets/ruslanmv/sports-trends-dataset.multi_SWE_Bench_Rust
multi_SWE_Bench_Rust
数据集描述...
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.the-stack-rust-clean
Dataset 1: TheStack - Rust - Cleaned
Description: This dataset is drawn from TheStack Corpus, an open-source code dataset with over 3TB of GitHub data covering 48 programming languages. We selected a small portion of this dataset to optimize smaller language models for Rust, a popular statically typed language.
Target Language: Rust
Dataset Size:
Training: 900,000 files
Validation: 50,000 files
Test: 50,000 files
Preprocessing:
Selected Rust as the target language due to its… See the full description on the dataset page: https://huggingface.co/datasets/ammarnasr/the-stack-rust-clean.RusLawOD
The Russian Legislative Corpus, 1991–2026
Russian primary and secondary legislation corpus covering laws of Russian Federation, decrees by the President of RF, regulations by the government published as of July, 2026. The corpus collects all 308,056 texts (198,777,737 tokens) of non-secret federal regulations and acts, along with their metadata. The corpus has two versions: the original text with minimal preprocessing and a version prepared for linguistic analysis with… See the full description on the dataset page: https://huggingface.co/datasets/irlspbru/RusLawOD.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.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.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
rust-the-stack-v2SPEEED_s3_words_russian_0k-300krussian_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-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-600krublimp
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.multiswe_rustbenchrussian_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
}
Multi-SWE-smith-Rust-GLM-4.6-trajectoriesrussian_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.rustbenchStrandset-Rust-v1
Strandset-Rust-v1
Overview
Strandset-Rust-v1 is a large, high-quality synthetic dataset built to advance code modeling for the Rust programming language.Generated and validated through Fortytwo’s Swarm Inference, it contains 191,008 verified examples across 15 task categories, spanning code generation, bug detection, refactoring, optimization, documentation, and testing.
Rust’s unique ownership and borrowing system makes it one of the most challenging languages for… See the full description on the dataset page: https://huggingface.co/datasets/Fortytwo-Network/Strandset-Rust-v1.donut_synthdog_rus
Dataset Card for "donut_rus"
More Information needed
Rustins_Super_Mega_Awesome_VEDU_Model
Rustin's Super Mega Awesome VEDU Model
A reproducible, heavily-documented pipeline that maps Ventenata dubia ("VEDU", an invasive
winter-annual grass) across Montana from satellite + environmental data.
Science reference: docs/VEDU_48_predictors_detailed.md
Data decisions & gotchas: docs/CONTRADICTIONS.md
Parity with the Earth Engine build: docs/GEE_PARITY.md
Continue-the-build guide: docs/HANDOFF.md
Label inventory: docs/DATA_SOURCES.md
What it produces
57… See the full description on the dataset page: https://huggingface.co/datasets/UniversityOfMontanaSAL/Rustins_Super_Mega_Awesome_VEDU_Model.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])
rustbenchrussian-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.common_corpus_pre1939_RusssianДемонстрация низкого качества OCR/HTR, поражающего обучающие датасеты на русском 19 века и ранее.
Использовать для тестирования спеллчекеров и корректоров.
TODO:
common_corpus_pre1939_Russian -как результат коррекции, вместо нынешнего некачественного
common_corpus_pre1939_Russsian
Лицензия кау у исходного PleIAs/common_corpus
Мотивация:
https://huggingface.co/datasets/PleIAs/common_corpus/discussions/2#67adb8aba035b45ce76b33dd
Feb 13, 2025
A language column was added in Common Corpus 2.0, so… See the full description on the dataset page: https://huggingface.co/datasets/foss22/common_corpus_pre1939_Russsian.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_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.