Lacquerware Evidence Conflicts and Unanswerable Questions Training Set
- Records
- 6534
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
4563This collection contains closed-domain question-answering examples in which lacquerware literature or catalog records disagree, omit relevant information, or do not support an answer. Each example includes a question, source evidence, an answerability status, evidence analysis, and an exemplar response. Designed for domain-specific supervised fine-tuning and evaluation, it trains models to recognize conflicting sources, state evidence limits, and avoid unsupported claims.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| question | string | The question to be answered using only the supplied lacquerware sources. |
| evidence_bundle | string | A JSON-encoded collection of source excerpts or catalog records, including source identifiers and relevant metadata. |
| supported_answer | string | The answer justified by the sources, or an explicit statement that the sources do not establish an answer. |
| evidence_analysis | string | A concise analysis of relevant support, disagreements among sources, and limitations in the supplied evidence. |
| exemplar_response | string | A polished model response that describes the evidence boundary and avoids unsupported assertions. |
| answerability_status | string | Indicates whether the supplied evidence supports an answer, contains conflicting claims, or is insufficient to answer. |
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?
- The question-answer text includes user questions, source evidence bundles, answerability statuses, evidence analyses, supported answers, and exemplar responses. Cases cover conflicting sources, insufficient evidence, and questions that cannot be answered from the supplied materials.
- Which capabilities can the dataset support?
- It is designed for domain-specific supervised fine-tuning in closed-domain lacquerware heritage question answering. It can also support evaluations of source comparison, conflict detection, answerability judgments, and abstention when evidence is insufficient.
- How is source evidence represented?
- Evidence bundles are provided as JSON-encoded text and may include excerpts from literature or catalog records, source identifiers, and relevant metadata. The available contents should be confirmed against the individual records and product listing.
- How can the data be obtained, and what are the licensing terms?
- Please consult the product listing or the provider's license for access instructions, permitted uses, and commercial-use terms. Use of source materials should comply with applicable copyright, citation, and data-use requirements.
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Cite this Work
@dataset{Mobiusi2026,
title={Lacquerware Evidence Conflicts and Unanswerable Questions Training Set},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/e861cab718a7f597f622a84b9247c3f4?dataset_scene_id=21},
urldate={2026-10-22},
keywords={lacquerware dataset,lacquerware question answering,heritage knowledge grounding,evidence conflict detection,unanswerable questions,closed-domain QA training,domain-specific fine-tuning,source-based answering},
version={1.0}
}Using this in research? Please cite us.