01
Expert STEM Data Production
Original mathematics, physics, and scientific-code tasks with verified solutions, tests, and structured metadata.
Expert STEM data for AI systems that need to reason
We design, author, and verify high-difficulty mathematics, physics, and scientific-code datasets for training and evaluation.
Problem
f(x) = x³ − 3x
Compute ∫₀ᵖⁱ f(x) sin(x) dx.
Python test
1 import sympy as sp
2 x = sp.symbols('x', real=True)
3 f = x**3 - 3*x
4 expr = f * sp.sin(x)
5 result = sp.integrate(expr, (x, 0, sp.pi))
6 sp.simplify(result)
7 # Expected: 2Verification
Symbolic result equals expected.
2 == 2High-precision numeric check passed.
|evalf(result) − 2| < 1e−30Independent method agrees.
integration by parts → 2Built for the hardest STEM reasoning.
From capability definition to expert-authored tasks, executable verification, and release documentation.
02
Benchmark & Evaluation Design
Evaluation sets, scoring rubrics, difficulty calibration, and model-failure taxonomies built around a defined capability.
03
Dataset Quality & Verification
Correctness review, execution checks, deduplication, provenance, documentation, and release-readiness assessment.
Founder-led in Mathematics and Physics. Specialist capacity expands only when the right expert and review process are confirmed.
Quality is a system, not a final check.
Every release is shaped by explicit capability goals, expert authorship, executable verification, structured review, and documented limitations.
01
Define
Capability, discipline, difficulty, schema, and acceptance criteria.
02
Author
Original problems, solutions, code, tests, and metadata.
03
Verify
Fresh execution, numerical checks, and consistency validation.
04
Review
Technical review, duplicate checks, and adjudication.
05
Document
Provenance, environment, dataset card, and known limits.
Public proof, released responsibly.
Our public STEM scientific-code sample covers 30 tasks across Mathematics, Physics, Chemistry, Materials Science, and Biology — six tasks per domain. Browse it on Hugging Face.
View the public sampleSample status — public
Expert-led by design
AxiomSet Labs begins with founder-led delivery in Mathematics, Physics, and related scientific code. Every engagement is scoped around the expertise and review depth the work actually requires.
Specialist capacity
Our reported network spans Materials Science, Chemistry, Biology, IT and cloud, coding, and technical image or video annotation. Capacity is represented publicly only after the relevant expert, availability, and review responsibility are confirmed.
- Initial focus —
- Mathematics · Physics · Scientific code
- Expansion —
- discipline-specific, reviewer-confirmed
Need difficult STEM data built around a real model capability?
Start with a focused pilot: clear specifications, expert-authored tasks, verified solutions, and a documented path to scale.
Prefer email?[email protected]
Review the pilot structure