University Entrance Exam Syllabus and Tested-Content Question Answering Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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?dataset_scene_id=7},
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}
}Using this in research? Please cite us.