The coverage of 50,000+ high-quality subjects covers 20+ disciplines in medicine, engineering, law, economy, computer, etc. The range of topics is varied, including selection, judgement, abbreviation, case analysis, calculation, etc., with standard answers and detailed analysis, and is designed for large model education training, smart grouping and self-adaptation learning.
20+
Field of study
100%
Include answer resolution
Level 3
Difficulty Layer System
50%+
Professional qualification
A comprehensive understanding of the composition and core features of the database sets provides the AI educational training, smart grouping and learning assessment system with a high-quality data base.
Single and multi-choice questions, covering the assessment of knowledge memory and understanding, with standard answers and options.
The diagnosis and filling questions, examining the basic concepts and core knowledge points, are suitable for the basic stage of learning assessment.
Brief answers and talking points, combined with a comprehensive analytical capacity with detailed points and references.
Case analysis and computational questions, examining practical application capabilities, including complete de-programming steps and extrapolation processes.
The repository of data is carefully screened and matched to ensure that the disciplines, issues, difficulties and coverage are comprehensive and meet the needs of a diverse AI training and education landscape.
Selection
35%
Adjudication
15%
Brief answer
25%
Case
15%
Calculator
10%
Medical practitioners
Clinical/oral/media, etc.
Computer Level
Level II/III/IV
Judicial examinations
Objective/subjective issues of the Law Examination
Study library
Integrated/Professional/Retest
This data set is legally authorized for the following three core scenarios. All data have been quality verified and standardized.
(c) Provide large-scale, high-quality training materials for the LLM-based model in the field of education, covering multidisciplinary, multi-problematic, multi-problem levels, and help the model to gain expertise in question-and-answer and problem-solving reasoning.
Multidimensional labels based on knowledge points, difficulty, problem-setting, etc., achieve smart grouping, automatic reading, individualized path recommendations, and serve online educational platforms and vocational training scenarios.
Supporting research directions such as the theory of project response (IRT), knowledge tracking, quality analysis of test questions by providing data support for real subject collections in fields such as education, cognitive sciences, and test measurements.
Data are legally sourced, tenure is clear and the requirements of the intellectual property and education industry are strictly adhered to.
| Dataset Name | Data sets for the science examination library |
| Nature of License | Non-Exclusive License |
| License Term | May 6, 2026 — May 1, 2027 |
| Data Holder | Union of Cooperative Educational Institutions |
| Operator | Changsha Langhui Information Technology Co., Ltd. |
| Scope of License | Acquisition, De-identified Annotation, Structuring, Storage and Use |
Intellectual property compliance
All the subjects are clear, legally authorized and strictly comply with the relevant provisions of the Copyright Act
Legal Compliance Assurance
Strict compliance with the Data Security Act, the Personal Information Protection Act and the educational industry data norms
Sublicensing Prohibited
The data must not be sublicensed, resold, disclosed or shared with any unauthorized third party
Clear Ownership
The licensor guarantees that the data sources are lawful, ownership is clear and free of defects in title, and that legal usage rights have been obtained