Traditional Craft Techniques and Materials Fact Verification Dataset
#fact verification #claim-evidence matching #evidence-based classification #traditional craftsmanship research #intangible cultural heritage preservation #craft materials and techniques verification
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
This dataset organizes verification examples about traditional craft techniques, material use, and craft characteristics through structured claims and traceable domain knowledge records. It provides verdicts, rationales, confidence scores, and alignments between claim elements and supporting knowledge, including supported, refuted, and insufficient-evidence outcomes. The data focuses on metadata rather than full-text or image evidence, making it suitable for training and evaluating craft knowledge verification and grounding capabilities.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| claim | object | The original traditional craft factual claim and its structured elements, provided as input. |
| knowledge_record | object | A structured craft knowledge record with traceable source metadata, provided as input; it does not contain full-text or image evidence. |
| evidence_alignment | array | Lists the structured correspondences between claim elements and the domain knowledge record used for verification. |
| verification_result | string | The fact verification label derived from the claim and the structured domain knowledge record. |
| verification_rationale | string | Explains how the knowledge record supports or refutes the claim, or why the available basis is insufficient. |
| verification_confidence | number | An estimate of the reliability of the verification result, ranging from 0 to 1. |
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 covers traditional craft techniques, materials, and craft characteristics. Each record can include a claim, a structured domain knowledge record, a verification result and rationale, a confidence score from 0 to 1, and alignments between claim elements and the knowledge record.
- What types of verification results are included?
- Results distinguish claims supported by the knowledge record, claims refuted by it, and cases where the available basis is insufficient. Rationales explain how the structured knowledge relates to each claim; consult the dataset's annotation guidelines for the exact label definitions.
- Does the dataset include source documents or image evidence?
- The dataset focuses on metadata about techniques, materials, and their relationships, with traceable source metadata. It does not include full-text or image evidence, so verification should be understood as based on the structured knowledge records provided.
- Which training and evaluation scenarios does it support?
- It can support training or evaluating models on traditional craft fact verification, domain knowledge grounding, rationale generation, and confidence estimation. It may also be useful in craft knowledge management and intangible heritage digitization. Check the product page or provider terms for availability and licensing details.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Traditional Craft Techniques and Materials Fact Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/b1bb8735e2b54ac563a333f0684c8dfb?dataset_scene_id=21},
urldate={2026-10-20},
keywords={traditional crafts dataset,craft technique fact verification,handicraft materials knowledge,traditional craft knowledge graph,intangible heritage data,fact verification training data,knowledge grounding,craft claim verification},
version={1.0}
}Using this in research? Please cite us.
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