Professional Certification Exam Evidence-Grounded Question Answering Dataset

#evidence-grounded question answering #document retrieval #citation verification #professional certification exam preparation #open-book examination support #evidence-based learning
  • 5000
  • 0.4GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-11-05

AI Analysis & Value Prop

Designed for professional certification exam settings, this dataset pairs exam questions and reference answers with source materials such as textbooks, exam syllabi, regulations, and technical standards, including supporting locations and quotations. It also provides answerability labels and evidence-based explanations for training and evaluating retrieval-augmented generation systems on knowledge retrieval, open-book question answering, and source attribution. Typical uses include exam preparation, intelligent question bank development, and regulation or standards-focused QA.

Dataset Insights

Sample Examples

{}

Technical Specifications

FieldTypeDescription
file_namestringFile name
answerstringA concise answer to the question, supported by the provided source material.
questionstringThe professional certification exam question to be answered.
citationsarrayOne or more source locations and quotations that directly support the answer.
reasoningstringA brief explanation connecting the cited evidence to the answer, without adding unsupported claims.
answerabilitybooleanWhether the provided source material contains sufficient evidence to answer the question.
source_materialobjectThe reference material used to ground the answer, such as a textbook, exam syllabus, regulation, or technical standard.

Compliance Statement

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

Frequently Asked Questions

What does the dataset contain?
Each record is organized around a professional certification exam question and includes source material, a reference answer, supporting citations, an answerability label, and an evidence-based explanation. Sources may include textbooks, exam syllabi, regulations, or technical standards.
How can the evidence and citations be used?
Use the source material for retrieval and the questions and answers for QA training or evaluation. Citations and explanations help verify that responses are grounded in the provided evidence. The answerability field can also support testing whether a system recognizes insufficient evidence.
Which tasks is the dataset suitable for?
It supports retrieval-augmented generation, open-book question answering, evidence retrieval, citation generation, and answerability classification. It can also help evaluate intelligent exam question banks and knowledge QA systems.
How can I access the data, and what are the licensing terms?
Access methods, available versions, and licensing terms depend on the product listing or the provider's published terms. Users should verify copyright and usage restrictions for source materials and ensure their applications comply with applicable requirements.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Professional Certification Exam Evidence-Grounded Question Answering Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/d74d03be346a46d320c730857e5bccc2},
  urldate={2026-10-19},
  keywords={professional exam dataset,certification exam QA,evidence-grounded question answering,RAG question answering dataset,open-book QA training,professional exam preparation,answer citation data,educational knowledge retrieval},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches