Big-Math: 250,000 Verified Problems for Reinforcement Learning

Big-Math contains over 250,000 rigorously filtered and verified mathematical problems released by SynthLabsAI in early 2025. Designed for reinforcement learning (RL) in language models, the collection focuses on high-quality reasoning tasks and open-ended questions. It is distributed in Parquet format under the Apache 2.0 license.

Use Cases

• Training reward models for RLHF using the verified mathematical solutions
• Fine-tuning LLMs for multi-step reasoning using the open-ended question format
• Benchmarking mathematical accuracy across 250,000+ distinct problem instances

Strengths

• Contains 250,000+ verified mathematical problems
• Permissive Apache 2.0 license for commercial and research use
• Includes Arxiv 2502.17387 documentation for methodology

Limitations

• Limited to English language content
• Potential for synthetic data bias common in large-scale math reasoning sets
• Lack of granular metadata on problem difficulty levels

Provenance

Source

SynthLabsAI

Collection Method

Filtered and verified curation as detailed in Arxiv 2502.17387

Freshness

Last updated March 2025.

Geography

Global (English language)