The core scenes covering university science topics, high-quality subject banks, examination data, dissertation data, science and technology AI, HLE final human examination, etc. provide high-quality training data support for AI scientific research and education.
The topic brings together six high-quality data sets covering university science libraries in mathematics, physics, chemistry and biology, the reality of standardized examinations, academic thesis language and the front-line benchmark test set of HLE (human final examination). The data sets are carefully cleaned and labelled and are applicable to the scenes of large post-model training (SFT/RLHF), scientific reasoning assessment, academic assisted writing, etc., and provide a solid data base for the scientific literacy of AI.
HLE human final examination benchmark shows LLM reasoning upper limit
The HLE benchmark test covers 3,000+ interdisciplinary difficulties, with the strongest model score of less than 10 per cent at present, exposing LLM to fundamental bottlenecks in deep reasoning.
Core bottlenecks in training once quality synthetic data is available
Head-workers such as OpenAI and Anthropic have classified high quality synthetic data as the most scarce resource, with a particularly high level of synthetic data in the scientific field.
Science AI (Sciai) is classified as an annual breakthrough technology by Nature.
Nature rated ScienceAI as a breakthrough technology in 2025, and expected to reach $50 billion in the size of the ScienceAI market by 2030.
Standardized questions covering core disciplines such as advanced mathematics, linear algebra, university physics, organic chemistry, molecular biology, etc.
A selected collection, reviewed by field experts, containing detailed analysis and knowledge points.
Standardized test reality and simulation data for research, GRE, GMAT, SAT etc.
Full-text and abstract texts of academic papers covering subjects such as computer science, mathematics, physics, etc.
Specialized language in the field of science and technology, including patent literature, technical reports, scientific project data.
The 30000+ interdisciplinary and difficult topics covering mathematics, physics, chemistry, biology etc. are used to assess the limits of the LLM scientific reasoning.
Contact us to get a complete catalogue of data sets and test access.
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