Question Bank Clarification-Based Multi-Turn QA Evaluation Dataset
- Records
- 5000
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
This dataset combines question page content from digital question banks, including prompts, options, answers, and explanations, with multi-turn follow-up questions and responses about question meaning, terminology, option differences, and answer rationale. Structured clarification focuses, resolved interpretations, and reference conclusions support evaluation of semantic understanding, context retention, and response consistency in web-based question bank settings. It can help assess and improve educational QA systems and teaching assistants.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| question_page | object | Original page information directly available on the question webpage, including the prompt, options, answer, and explanation. |
| clarification_focus | string | The main clarification category inferred from the question page and multi-turn dialogue. |
| reference_resolution | object | The final reference answer and its rationale compiled from the question page and clarification dialogue. |
| clarification_summary | string | A combined summary of the user's questions, the assistant's responses, and the final clarification. |
| clarification_dialogue | array | User follow-up questions and corresponding responses about question meaning, terminology, option differences, or answer rationale. |
| resolved_interpretation | object | A structured clarification of the question conditions, terminology, options, and solution rationale derived from the dialogue. |
| context_consistency_assessment | object | An assessment of whether the responses consistently follow the question page, user follow-ups, and meanings established earlier in the dialogue. |
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 question page content such as prompts, options, answers, and explanations, along with multi-turn follow-up questions and responses about question meaning, terminology, option differences, and answer rationale. Structured fields also capture clarification focus, summaries, reference conclusions, and context consistency assessments.
- Which capabilities can this dataset evaluate?
- It can evaluate multi-turn question answering, semantic understanding of questions, terminology and option disambiguation, answer rationale verification, and whether responses consistently follow the question page and earlier dialogue context.
- How can I obtain the dataset?
- Please follow the download, request, or delivery options listed on the product page. Before acquisition, check the available data format, field documentation, and delivery scope.
- What are the licensing and usage terms?
- The license and permitted uses are determined by the product page or the provider's formal agreement. Confirm the usage rights for question page content and related materials before training, evaluation, or commercial deployment.
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Cite this Work
@dataset{Mobiusi2026,
title={Question Bank Clarification-Based Multi-Turn QA Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/b4bbe71d62a1cecb039a6afc59795441?dataset_scene_id=7},
urldate={2026-10-15},
keywords={question bank QA dataset,multi-turn QA evaluation,educational semantic understanding,question clarification dialogue,context consistency evaluation,web question answering,answer rationale verification,educational AI},
version={1.0}
}Using this in research? Please cite us.