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DATASETSUpdated August 22, 2026

Dataset Schema & Parquet Specification

Detailed Apache Parquet field definitions, reasoning token tags, and multi-teacher provenance metadata.

Parquet Columns11 Primary Fields
CompressionSnappy
Row Count482,910 Traces
Total Size4.82 GB (Compressed)

Overview

Solace 1.0 is distributed as Apache Parquet files partitioned by task domain. Each sample includes the raw problem statement, the multi-turn verified scratchpad, final grounded solution, and comprehensive provenance metadata attributing teacher models and validation metrics.


Parquet Schema Reference

{
  "id": "solace_v1_math_0049182",
  "domain": "mathematics",
  "subdomain": "olympiad_number_theory",
  "teacher_models": ["gpt-5.6-sol", "deepseek-v4-pro", "glm-5.2"],
  "consensus_score": 0.942,
  "verification_passed": true,
  "compiler_feedback": null,
  "prompt": "Find all positive integers n such that 2^n + 12^n + 2026^n is a perfect square.",
  "thought_chain": "1. Analyze modulo arithmetic...\n2. Test base cases n=1, 2, 3...\n3. For n > 2, examine mod 7 and mod 13...",
  "solution": "The only positive integer solution is n = 1.",
  "token_count": 1420
}

Field Descriptions

Field Name Type Description
id String Unique cryptographic identifier based on prompt hash.
domain String High-level domain: mathematics, code_synthesis, agentic_tool_use, strategic_reasoning.
subdomain String Granular specialization (e.g. dynamic_programming, kernel_optimization, proof_verification).
teacher_models List[String] List of teacher architectures that reached consensus on this solution path.
consensus_score Float Semantic reasoning graph overlap score (ranges from $0.0$ to $1.0$).
verification_passed Boolean Flag indicating successful pass through compiler sandboxes and proof engines.
compiler_feedback Nullable[String] Output logs from unit tests, linter assertions, or Lean 4 proof logs if applicable.
prompt String Unmodified task instruction or user problem statement.
thought_chain String Full step-by-step thinking process without truncation or artificial summaries.
solution String Final grounded answer and code artifacts.
token_count Integer Total token count across prompt, thought chain, and solution.