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| File Name | Description |
|---|---|
CriticLean_12K | All of our critic lean data. |
CriticLean_4K | Seed Data. A subset of the CriticLean_12K, specifically used as our Reinforcement Learning (RL) dataset. |
CriticLean_Mix_48K | An expanded mixed dataset including: - CriticLean_12K- 18k math data sampled from OpenR1-Math-220k - 18k code data sampled from OpenThoughts-114k-Code_decontaminated |
CriticLean_Mix_16K | A mixed dataset including: - CriticLean_4K- 6k math data sampled from OpenR1-Math-220k - 6k code data sampled from OpenThoughts-114k-Code_decontaminated |
| Base Model | SFT Applied? | SFT Data | RL Applied? | RL Data | CriticLeanGPT Model Name |
|---|---|---|---|---|---|
| Qwen2.5-Instruct | Yes | CriticLean_4K | No | * | Qwen2.5-Instruct-SFT(Critic Only) |
| Qwen2.5-Instruct | Yes | CriticLean_Mix_16K | No | * | Qwen2.5-Instruct-SFT(16K) |
| Qwen2.5-Instruct | Yes | CriticLean_Mix_48K | No | * | Qwen2.5-Instruct-SFT |
| Qwen2.5-Instruct | Yes | CriticLean_Mix_48K | Yes | CriticLean_4K | Qwen2.5-Instruct-SFT-RL |
| Qwen2.5-Instruct | No | * | Yes | CriticLean_4K | Qwen2.5-Instruct-RL |
| Qwen3 | No | * | Yes | CriticLean_4K | Qwen3-RL |
CriticLean_Mix_* files are optimized for SFT, with varying sizes and domain focuses:CriticLean_Mix_16K for a balanced mix of critic data, math, and code (16k total samples)CriticLean_Mix_48K for a larger dataset with expanded math and code content (48k total samples)CriticLean_4K or CriticLean_12K for pure critic lean data without additional math/codeCriticLean_4K is specifically designated as the RL dataset, used to fine-tune models after SFT (or directly on base models) through reinforcement learning from human feedback (RLHF) or similar techniques.@misc{peng2025criticleancriticguidedreinforcementlearning,
title={CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization},
author={Zhongyuan Peng and Yifan Yao and Kaijing Ma and Shuyue Guo and Yizhe Li and Yichi Zhang and Chenchen Zhang and Yifan Zhang and Zhouliang Yu and Luming Li and Minghao Liu and Yihang Xia and Jiawei Shen and Yuchen Wu and Yixin Cao and Zhaoxiang Zhang and Wenhao Huang and Jiaheng Liu and Ge Zhang},
year={2025},
eprint={2507.06181},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2507.06181},
}