datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ua-codeforces-cots-open-r1
Dataset Summary
ua-codeforces-cots-open-r1 is a Ukrainian-focused derivative of open-r1/codeforces-cots that:
includes 1550 Python solutions from original dataset generated by DeepSeek-R1;
adds Ukrainian translations of Codeforces task statements, I/O formats, notes, and editorials;
provides Ukrainian translation of original ("high") reasoning obtained with DeepSeek-V3;
adds “low” reasoning in Ukrainian by DeepSeek-R1 based on original reasoning and task statements;
ships… See the full description on the dataset page: https://huggingface.co/datasets/anon-researcher-ua/ua-codeforces-cots-open-r1.codeforces_contests
Dataset Summary
This dataset is an extension of the one found here adding the problem data for each submission, including things like the statement, title, difficulty, etc...
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/codeforces_contests.