LLiserginov/russian-instructions-10k
russian-instructions-10k Russian instruction-following dataset for fine-tuning LLMs. Translated from Alpaca Cleaned with coding/math boost. Size 9,975 examples Language Russian Format instruction_ru → output_ru (Alpaca-style) Translation Gemma 4 26B via llama.cpp API Filtering All coding + math examples included, remaining sampled from cleaned Alpaca License Same as Alpaca (CC BY-NC 4.0 / subject to OpenAI ToS) Structure Each entry has… See the full description on the dataset page: https://huggingface.co/datasets/LLiserginov/russian-instructions-10k.
russian-instructions-10k
Russian instruction-following dataset for fine-tuning LLMs. Translated from Alpaca Cleaned with coding/math boost.
Structure
Each entry has two fields:
instruction_ru— Russian instruction (if original had aninput, it's appended as\nInput: ...)output_ru— Russian response
Intended Use
Recommended format is ChatML via apply_chat_template:
messages = [
{"role": "user", "content": instruction_ru},
{"role": "assistant", "content": output_ru},
]
text = tokenizer.apply_chat_template(messages, tokenize=False)Sample
{
"instruction_ru": "Вам дан список вопросов, классифицируйте каждый из них по одной из следующих пяти категорий: медицина, история, наука, бизнес, искусство.\nInput: Какой стране первой удалось совершить посадку космического аппарата на Луну?",
"output_ru": "Категория этого вопроса: история."
}