Multi-Step Math & Logic CoT Data
Formal mathematical proofs, Olympiad-level logic derivations, and code execution trace steps annotated with detailed chain-of-thought rationale.
Quality & Precision Benchmarks
BENCHMARK ALIGNMENT
GSM8K / MATH / HumanEval
PROOF RIGOR
100% SymPy & PhD Verified
STEP COUNT
5 to 25 Steps / Problem
LANGUAGE
English + Latex / Code
Dataset Taxonomy & Output Structure
math_domain (Algebra / Calculus / Geometry / Number Theory)
formal_latex_statement (LaTeX Equation Array)
step_by_step_cot_proof (CoT Trace)
verification_method (SymPy / Lean4 / Human Expert)
Specific Type Tasks & Applications
- • Symbolic Mathematics AI Reasoning
- • Theorem Proving & Lean 4 Formal Proofs
- • Complex Financial Risk Scenario Modeling
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Skipped intermediate derivation steps causing reasoning gaps | PASS: Exhaustive step-by-step chain-of-thought (CoT) proofs without missing steps |
| FAIL: Unformatted raw text equations causing LaTeX parsing errors | PASS: Standardized LaTeX equations verified via automated SymPy computer algebra |
Files & CoT Reasoning Example (Python)
import json
# Load Blue Projects Process Supervision Data Type: Multi-Step Math & Logic CoT Data
with open("multi-step-math-logic-cot_cot_sample.json", "r") as f:
data = json.load(f)
print("Loaded Keys:", list(data.keys()))
Why Blue Projects for Multi-Step Math & Logic CoT Data?
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