textPRIME-RL/Eurus-2-RL-Datareinforcement-learningmathcodereasoningrlvrllm-trainingverifiable-rewardsprimeparquetmit
Eurus-2-RL-Data: Math & Coding RL Training Dataset with Outcome Verifiers
About this data
High-quality RL training dataset combining math problems (NuminaMath-CoT) and coding problems (APPS, CodeContests, TACO, Codeforces) with outcome verifiers — LaTeX answers for math and test cases for code. ~450K examples, parquet, MIT-licensed.
Schema
| Name | Type | Description |
|---|---|---|
| data_source | VARCHAR | Origin subset of the problem (e.g., numina_synthetic_math, APPS, CodeContests, TACO, Codeforces). |
| prompt | STRUCT("content" VARCHAR, "role" VARCHAR)[] | Array of message objects with 'content' (problem statement text) and 'role' (system/user/assistant) for multi-turn reasoning. |
| ability | VARCHAR | Capability category of the problem (e.g., math, code, reasoning). |
| reward_model | STRUCT(ground_truth VARCHAR, style VARCHAR) | Verifier configuration containing ground_truth (expected answer in LaTeX or reference solution) and style (verification method: rule, test, etc.). |
| extra_info | STRUCT("index" BIGINT, split VARCHAR) | Metadata struct with index (sequential problem identifier) and split (dataset partition: train/valid/test/dummy). |
Sample Data
Preview a sample of the data before downloading.
Free
Open dataset
Quality: No ratings
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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: "Eurus-2-RL-Data: Math & Coding" })
// Found: e16aabeb-44f4-46e9-8a77-0e46fe63a2da
get_download_url({ dataset_id: "e16aabeb-44f4-46e9-8a77-0e46fe63a2da" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/e16aabeb-44f4-46e9-8a77-0e46fe63a2da/download-url