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HLE++: Model-Breaking STEM Datasets For Frontier Reasoning
Graduate-to-PhD headroom sets engineered to preserve measurable pass@k separation after HLE (Humanity’s Last Exam) saturation.
5,000 off-the-shelf prompts validated on Opus 4.5 Extended and GPT-5.2 Thinking. Available in 24–48 hours.
Engineered Headroom Beyond HLE
HLE++ preserves separation by engineering calibrated difficulty bands beyond baseline HLE.
Each Problem Is
Graduate-to-PhD multi-step STEM reasoning
Deterministic, single-answer format
Structurally reviewed with SME consensus validation
100% original and search-resistant
Calibrated pass@8 = 0 headroom sets for SFT and low positive pass bands for RL
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CASE STUDY
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Benchmarking frontier models with 5,000+ HLE++ STEM problems
Turing partnered with a frontier AI lab to deploy a large-scale calibrated STEM dataset, designed to test deep scientific and mathematical reasoning under strict structural constraints.
5,000+ graduate-to PhD-level
problems curated for frontier model benchmarking
5000+
100
100% Acceptance Rate
with all problems meeting the client's quality, correctness, and SOTA model-breaking standards
100%
100
40+ STEM subdomains
covered, including quantum mechanics, organic and physical chemistry, genetics & genomics, algebra, and more
40+
100
Why Turing
These datasets are calibrated for measurable difficulty, including low pass@k performance on strong systems.
Calibrated difficulty bands
- Headroom subsets (~0 pass@8)
- Controlled low-pass RL bands
- Dense high-difficulty tail beyond public benchmarks
- Frontier-model performance calibration
Consensus-driven validation
- Independent SME review
- Multi-reviewer adjudication
- Tasks failing agreement thresholds are revised or removed
Evaluation-safe by construction
- 100% original, Google-proof problem design
- Runtime verification for scientific coding tasks
- Structured JSON format for direct integration into evaluation pipelines
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