IneqMath: Inequality Proofs for Large Language Model Evaluation

Inequality proving tests advanced reasoning skills like discovering tight bounds and applying theorems, making it a distinct frontier for large language models. The dataset, created by AI4Math, was last updated on December 15, 2025. Its specific size and structure are not detailed in the provided metadata.

Use Cases

• Benchmarking LLM performance on inequality proofs based on the described reasoning tasks.
• Training models to discover tight bounds in mathematical inequalities as mentioned in the description.
• Evaluating strategic theorem application in problem-solving, a key skill highlighted for this domain.
• Studying LLM reasoning capabilities beyond general math problem-solving as framed by the dataset's purpose.

Strengths

• Focuses on a distinct and demanding reasoning task for LLMs as described.
• Created by the organization AI4Math, suggesting a domain-specific source.
• Last update timestamp (2025-12-15 00:30:24) is provided.

Limitations

• Row count, file formats, and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The license is unspecified, which may restrict usage.

Provenance

Source

AI4Math via Hugging Face

Freshness

Last updated 2025-12-15 00:30:24