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Home/Text/University Entrance Exam Syllabus and Tested-Content Question Answering Dataset

University Entrance Exam Syllabus and Tested-Content Question Answering Dataset

#question answering #syllabus information retrieval #evidence-grounded reasoning #university entrance exam preparation #syllabus comprehension #exam rule and tested-content inquiry

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset combines web text from university entrance exam syllabi and subject guides, including knowledge scopes, question formats, and competency requirements, with evidence-based question-answer records. It captures exam and subject context, knowledge scope, question intent, evidence alignment, and assessment boundaries to help models find answer sources and verify their relevance. It supports training and evaluation for exam information QA, study assistance, educational search, and document question answering.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer_basis	string	Explains how the reference answer follows from the exam syllabus, subject guide, or question format rules, and identifies the applicable assessment boundaries.
exam_context	object	Exam, subject, and syllabus section information inferred from the webpage text and question-answer content.
raw_qa_record	object	The original candidate question, reference answer, evidence text, and source information.
knowledge_scope	array	A list of knowledge points, topic scopes, or tested content extracted from syllabus evidence.
question_intent	string	The primary intent of the candidate's question, such as asking about exam scope, question format rules, competency requirements, or preparation boundaries.
evidence_alignment	object	The relationship between the answer and supporting syllabus evidence, for retrieval and verification.
source_webpage_text	string	Original text collected from exam syllabus or subject guide webpages, preserving the source wording for retrieval.
boundary_constraints	array	Explicit tested scopes, limitations, excluded content, or prerequisites extracted from the evidence.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It includes source web text from exam syllabi and subject guides, along with candidate questions, reference answers, exam context, knowledge scope, question intent, evidence alignment, and assessment boundaries.

How does the dataset help models answer questions about exam scope?: Reference answers are linked to evidence from syllabi or subject guides, with knowledge scopes and boundary constraints captured. This helps models retrieve supporting information, provide grounded answers, and avoid claims beyond the stated assessment scope.

Which training or evaluation tasks does it support?: It can support document question answering, evidence retrieval, answer-grounding verification, and exam preparation information search. It can also help evaluate whether a model distinguishes subjects, tested content, and question format rules.

How can I obtain the dataset and check its license?: Consult the dataset product page or provider for available delivery options, specifications, and license terms. Before use, confirm that your intended application is permitted and review any restrictions or licensing requirements for the source materials.

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Cite this Work

@dataset{Mobiusi2026,
  title={University Entrance Exam Syllabus and Tested-Content Question Answering Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/d1f8cb52b6802699244933c7f20403f4?cate=3},
  urldate={2026-10-16},
  keywords={university entrance exam dataset,exam syllabus QA,tested content data,education document QA,evidence retrieval dataset,subject scope questions,exam preparation corpus,exam rules dataset},
  version={1.0}
}

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