OpenR1-Math-220k

  Dataset description

OpenR1-Math-220k is a large-scale dataset for mathematical reasoning. It consists of 220k math problems with two to four reasoning traces generated by DeepSeek R1 for problems from NuminaMath 1.5. The traces were verified using Math Verify for most samples and Llama-3.3-70B-Instruct as a judge for 12% of the samples, and each problem contains at least one reasoning trace with a correct answer. The dataset consists of two splits:… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/OpenR1-Math-220k.

This is a filtered and metadata enriched version of open-thoughts/OpenThoughts-114k. While the original dataset is a valuable resource containing DeepSeek-R1 outputs, it has very little metadata (only 2 fields: system and conversations). It does not contain, for instance, the original solution label, which means that we can not verify the model answers.

  What we did

filtered the dataset for math content (math questions were prefixed by "Return your final response within… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/OpenThoughts-114k-math.

OpenR1-Math-Raw

  Dataset description

OpenR1-Math-Raw is a large-scale dataset for mathematical reasoning. It consists of 516k math problems sourced from AI-MO/NuminaMath-1.5 with 1 to 8 reasoning traces generated by DeepSeek R1. The traces were verified using Math Verify and LLM-as-Judge based verifier (Llama-3.3-70B-Instruct) The dataset contains:

516,499 problems 1,209,403 R1-generated solutions, with 2.3 solutions per problem on average re-parsed answers… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/OpenR1-Math-Raw.

Dataset Card for Big-Math-RL-Verified-Processed

This is a processed version of SynthLabsAI/Big-Math-RL-Verified where we have applied the following filters:

Removed samples where llama8b_solve_rate is None Removed samples that could not be parsed by math-verify (empty lists)

We have also created 5 additional subsets to indicate difficulty level, similar to the MATH dataset. To do so, we computed quintiles on the llama8b_solve_rate values and then filtered the dataset into the… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/Big-Math-RL-Verified-Processed.

Dataset summary

Mixture-of-Thoughts is a curated dataset of 350k verified reasoning traces distilled from DeepSeek-R1. The dataset spans tasks in mathematics, coding, and science, and is designed to teach language models to reason step-by-step. It was used in the Open R1 project to train OpenR1-Distill-7B, an SFT model that replicates the reasoning capabilities of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B from the same base model. To load the dataset, run: from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/Mixture-of-Thoughts.

HINT-lab/multimodal-open-r1-8k-verified dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for CodeForces

  Dataset description

CodeForces is one of the most popular websites among competitive programmers, hosting regular contests where participants must solve challenging algorithmic optimization problems. The challenging nature of these problems makes them an interesting dataset to improve and test models’ code reasoning capabilities. This dataset includes more than 10k unique problems covering the very first contests all the way to 2025.… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/codeforces.

open-r1/verifiable-coding-problems-python_decontaminated-tested-shuffled dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for DAPO-Math-17k-Processed

This is a processed version of BytedTsinghua-SIA/DAPO-Math-17k where we have:

Deduplicated the prompts Reformatted the prompts and ground truth answers to be compatible with TRL's GRPO trainer

We have also derived pure English and Chinese subsets. The full dataset processing logic can be found in create_dataset.py. If you find this dataset useful in your work, please cite the original source with: @misc{yu2025dapoopensourcellmreinforcement… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed.

Dataset Card for CodeForces-CoTs

  Dataset description

CodeForces-CoTs is a large-scale dataset for training reasoning models on competitive programming tasks. It consists of 10k CodeForces problems with up to five reasoning traces generated by DeepSeek R1. We did not filter the traces for correctness, but found that around 84% of the Python ones pass the public tests. The dataset consists of several subsets:

solutions: we prompt R1 to solve the problem and produce code.… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/codeforces-cots.

open-r1/ioi-2024-model-solutions dataset hosted on Hugging Face and contributed by the HF Datasets community

LLMcompe-Team-Watanabe/open-r1-math dataset hosted on Hugging Face and contributed by the HF Datasets community

multimodal-open-r1-simple-filtered

Original dataset structure preserved, filtered by token length and image quality

  Dataset Description

This dataset was processed using the data-preproc package for vision-language model training.

  Processing Configuration

Base Model: allenai/Molmo-7B-O-0924 Tokenizer: allenai/Molmo-7B-O-0924 Sequence Length: 8192 Processing Type: Vision Language (VL)

  Dataset Features

input_ids: Tokenized input sequences… See the full description on the dataset page: https://huggingface.co/datasets/penfever/multimodal-open-r1-simple-filtered.

IOI

The International Olympiad in Informatics (IOI) is one of five international science olympiads (if you are familiar with AIME, IOI is the programming equivalent of IMO, for which the very best students who take part in AIME are invited) and tests a very select group of high school students (4 per country) in complex algorithmic problems. The problems are extremely challenging, and the full test sets are available and released under a permissive (CC-BY) license. This means that… See the full description on the dataset page: https://huggingface.co/datasets/open-r1/ioi-test-cases.

North2ICESea/multimodal-open-r1-8k-verified_and_geometry3k dataset hosted on Hugging Face and contributed by the HF Datasets community

ykarout/open-r1-sampled dataset hosted on Hugging Face and contributed by the HF Datasets community

meoconxinhxan/open-r1-math-220k-chatml-v2 dataset hosted on Hugging Face and contributed by the HF Datasets community

drproduck/open-r1-integral-answer dataset hosted on Hugging Face and contributed by the HF Datasets community

Ta1k1/Open-R1-Math_DESC dataset hosted on Hugging Face and contributed by the HF Datasets community

FUfu99/DeepSeek-R1-Zero-best_of_n-VLLM-Skywork-o1-Open-PRM-Qwen-2.5-7B-completions dataset hosted on Hugging Face and contributed by the HF Datasets community