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Distillation has emerged as a practical and effective approach to enhance the reasoning capabilities of open-source language models.
Chemistry-qa
Microsoft · 2021
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Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks, 2022
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, et al · 2022
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Let’s verify step by step, 2023
Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe · 2023
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Logic-701: A benchmark dataset for logical reasoning in english and russian
hivaze · 2023
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Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023
Teknium · 2023
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Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, and Bowen Zhou · 2023
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Wing Lian, Bleys Goodson, Eugene Pentland, Austin Cook, Chanvichet Vong, and "Teknium" · 2023
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Fine flan: Seqio to parquet so you don’t have to
Bleys Goodson · 2023
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American invitational mathematics examination - aime
MAA · 2024
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Livecodebench: Holistic and contamination free evaluation of large language models for code
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, and Ion Stoica · 2024
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Numinamath
Jia LI, Edward Beeching, Lewis Tunstall, Ben Lipkin, Roman Soletskyi, Shengyi Costa Huang, Kashif Rasul, Longhui Yu, Albert Jiang, Ziju Shen, Zihan Qin, Bin Dong, Li Zhou, Yann Fleureau, Guillaume Lample, and Stanislas Polu · 2024
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Free process rewards without process labels
Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, and Hao Peng · 2024
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Tülu 3: Pushing frontiers in open language model post-training
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, et al · 2024
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Infinity instruct
Beijing Academy of Artificial Intelligence (BAAI) · 2024
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Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu · 2024
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Am-thinking-v1: Advancing the frontier of reasoning at 32b scale, 2025
Yunjie Ji, Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, and Xiangang Li · 2025
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Aime-preview: A rigorous and immediate evaluation framework for advanced mathematical reasoning
Yixin Ye, Yang Xiao, Tiantian Mi, and Pengfei Liu · 2025
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Hugging Face · 2025
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Michael Luo, Sijun Tan, Roy Huang, Ameen Patel, Alpay Ariyak, Qingyang Wu, Xiaoxiang Shi, Rachel Xin, Colin Cai, Maurice Weber, Ce Zhang, Li Erran Li, Raluca Ada Popa, and Ion Stoica · 2025
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An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, et al · 2024
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Qwen Team · 2024
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Deepdistill: Enhancing llm reasoning capabilities via large-scale difficulty-graded data training, 2025
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Qwen Team · 2025
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Kodcode: A diverse, challenging, and verifiable synthetic dataset for coding
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1.4 million open-source distilled reasoning dataset to empower large language model training
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