OpenSeek: 1M-10M Synthetic Reasoning Examples for Math and Code

BAAI released this collection of 1 to 10 million synthetic reasoning examples in February 2025 to facilitate the activation of reasoning abilities in Large Language Models. The data spans math, code, and general knowledge domains, utilizing a pipeline designed to extract complex reasoning processes from raw corpora.

Use Cases

• Fine-tuning LLMs on mathematical reasoning chains to improve problem-solving accuracy
• Training code-centric models using the synthetic programming logic examples
• Reinforcement learning (RL) training using the general knowledge reasoning paths to activate latent reasoning capabilities

Strengths

• 1M to 10M record scale
• Multi-domain coverage including math and code
• CC BY-SA 4.0 licensed for open research

Limitations

• Synthetic data may contain logical hallucinations or errors
• Lack of human-verified ground truth for reasoning steps
• Potential for source model bias in the synthesis pipeline

Provenance

Source

BAAI (Beijing Academy of Artificial Intelligence)

Collection Method

Synthetic generation via a specialized pipeline designed to extract reasoning from raw corpora

Freshness

Last updated March 2025.