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Expert STEM Data Built for Frontier Standards

Structured datasets for chemistry, physics, biology, and math. Start with sample data to validate fit before scaling to a full pack.

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Advancing reasoning in science and math

Turing’s STEM data packs are engineered to test and improve model performance across the hardest domains—chemistry, physics, biology, and advanced mathematics. Built with PhD-level expertise and reproducible QA methods, these datasets provide the foundation for scientific reasoning and computational precision.

Structured datasets for chemistry, physics, biology, and math

Each data pack is available as a sample dataset. Samples are designed to validate scope and quality before engagement on full volumes.

GPQA-Style Chemistry Reasoning QA Pack

High-difficulty QA pairs in chemistry, spectroscopy, and quantum structure—designed to test LLM reasoning beyond surface patterning.

STEM Reasoning

Complex multi-step reasoning prompts across multiple physics, chemistry, and biology subdomains with rubric-based evaluation.

PCM STEM

Biology, chemistry, and physics questions at JEE level with vetted accuracy; some include diagrams for multimodal evaluation.

STEM VQA

Graduate- to PhD-level verifiable QA tasks curated to break top LLMs in scientific reasoning.

STEM VQA with Step-by-Step Response

Graduate-level VQA samples in science with detailed reasoning traces to stress-test model performance.

Chem and Physics Code

Computational physics and chemistry problems requiring advanced numerical methods, designed to challenge top models.

Exclusive Benchmark Dataset with IP Transfer

Google-proof math benchmark with original problems and verifiable answers, full IP transfer.

Euler-Style Code-Driven Math Problems

Algorithmically challenging math tasks requiring custom algorithms or simulation; unsolvable by symbolic methods.

Exclusive Benchmark Dataset with IP Transfer

Original high-difficulty math benchmark with verifiable answers and IP transfer rights.

Fast RLHF for Text and Text+Image

High-throughput RLHF tasks with rubrics and preference scores for training truthful, coherent LLMs.

Proof QA Dataset with Informal + Formal (Lean) Solutions

Iterative proof generation and repair in Lean 4, including informal solutions and type-checked proofs.

SFT Reasoning

Human-curated math reasoning tasks inspired by o1-style methods, diverse and rubric-aligned.

VQAs

Non-searchable math QA datasets for RL training and benchmarking.

R&D-driven standards

Criteria and taxonomies aligned with research use.

Transparent, auditable pipelines

Trace every data point end-to-end.

Elite, domain-specific talent

PhDs, Olympiad-level specialists, and vetted SMEs.

Human-in-the-loop + AI feedback loops

Combined review to catch edge cases and ensure reproducibility.

Accelerate scientific reasoning in your LLM

Talk to our experts and explore how Turing can accelerate your chemistry, physics, biology, and math research.

Featured resources

Turing AGI Icons with Sam Altman

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AGI Icons: Charting the future with Sam Altman

Evaluating VLMs On Real Business And STEM Tasks

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Evaluating VLMs On Real Business And STEM Tasks

Why Vision-Language Models Still Struggle With Real Business And STEM Workflows

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Why Vision-Language Models Still Struggle With Real Business And STEM Workflows

Ready to expand your model capabilities with expert data packs?

Get data built for post-training improvement, from SWE-Bench-style issue sets to multimodal UI gyms.