textHuggingFaceH4/MATH-500mathreasoningbenchmarkllm-evalmathematicsprm800kopenaitext-generation
MATH-500 (HuggingFaceH4)
About this data
500-problem subset of the MATH benchmark used by OpenAI in 'Let's Verify Step by Step' — the canonical math reasoning eval for LLMs and reasoning models.
Schema
| Name | Type | Description |
|---|---|---|
| problem | VARCHAR | LaTeX-formatted mathematics problem statement |
| solution | VARCHAR | Full worked solution with final answer enclosed in \boxed{} |
| answer | VARCHAR | Extracted final numerical or symbolic answer |
| subject | VARCHAR | Mathematical topic category (Algebra, Geometry, Number Theory, Counting & Probability, Intermediate Algebra, Prealgebra, Precalculus) |
| level | BIGINT | Difficulty rating from 1 (easiest) to 5 (hardest) |
| unique_id | VARCHAR | Stable identifier referencing original MATH test split path |
Sample Data
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Seller: DataBazaar
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Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "MATH-500 (HuggingFaceH4)" })
// Found: 9c009b4d-3ecb-4b9f-9f06-6f61b3a36a9a
get_download_url({ dataset_id: "9c009b4d-3ecb-4b9f-9f06-6f61b3a36a9a" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/9c009b4d-3ecb-4b9f-9f06-6f61b3a36a9a/download-url