metadata
license: apache-2.0
Overview
Training dataset for Polaris Preview models. The dataset is filtered from DeepScaleR-Preview-Dataset and AReal-boba-Data
Format
Each row in the jsonl file contains:
- problem: The input problem.
- answer: The answer to the problem
- difficulty: The pass rate of the problem estimated by
Deepseek-R1-distill-Qwen-7B
Citation
@misc{Polaris2025,
title = {POLARIS: A Post-Training Recipe for Scaling Reinforcement Learning on Advanced Reasoning Models},
url = {https://hkunlp.github.io/blog/2025/Polaris},
author = {An, Chenxin and Xie, Zhihui and Li, Xiaonan and Li, Lei and Zhang, Jun and Gong, Shansan and Zhong, Ming and Xu, Jingjing and Qiu, Xipeng and Wang, Mingxuan and Kong, Lingpeng}
year = {2025}
}