ResearchMath-Reasoning-194K

# ResearchMath-Reasoning-194K ResearchMath-Reasoning-194K is a collection of **193,938 long-form reasoning traces and solutions for research-level mathematical problems**, released alongside [ResearchMath-14k](https://huggingface.co/datasets/amphora/ResearchMath-14k) as part of the same paper. While ResearchMath-14k provides the curated problem statements, this dataset provides model-generated solution attempts: each record contains a self-contained problem statement, a long chain-of-thought reasoning trace, and a final response. Paper: [ResearchMath-14K: Scaling Research-Level Mathematics via Agents](https://arxiv.org/abs/2605.28003) ## Load ```python from datasets import load_dataset ds = load_dataset("amphora/ResearchMath-Reasoning-194K", split="train") print(ds[0]) ``` ## Composition The dataset unifies two solution-generation runs over ResearchMath problems into a single format: | Teacher model (`model`) | Rows | |---|---:| | `openai/gpt-oss-120b` | 93,426 | | `Qwen/Qwen3-30B-A3B` | 100,512 | | **Total** | **193,938** | The `Qwen/Qwen3-30B-A3B` rows were sampled with up to 8 completions per source problem (temperature 0.6, top_p 0.95, top_k 20, max 32,768 generated tokens). Prompt wrappers were stripped so that `problem` holds the bare problem statement in both subsets. ## Schema | Column | Type | Description | |---|---|---| | `problem` | string | Self-contained research-level math problem statement | | `reasoning` | string | Long-form chain-of-thought reasoning trace | | `response` | string | Final answer / solution write-up | | `model` | string | Teacher model that generated the reasoning and response | ## Intended Use ResearchMath-Reasoning-194K is intended for supervised fine-tuning and distillation of long-form mathematical reasoning, as well as for studying model behavior on research-level problems. The paper reports that filtered open-problem attempts provide useful supervision even when complete ground-truth solutions are unavailable. ## Citation If you use this dataset, please cite the paper: ``` @article{son2026researchmath, title={ResearchMath-14K: Scaling Research-Level Mathematics via Agents}, author={Son, Guijin and Yi, Seungyeop and Gwak, Minju and Ko, Hyunwoo and Jang, Wongi and Yu, Youngjae}, journal={arXiv preprint arXiv:2605.28003}, year={2026} } ```