Painting Attribution and Workshop Relationship Multi-Hop Reasoning QA Dataset
- Records
- 4790
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
This dataset presents questions and reference answers about painting attribution, relationships between artists and workshops, and related catalog records, requiring the integration of multiple textual clues. Each example includes supporting evidence, an attribution analysis, and ordered reasoning steps to help models assess differences across sources and address disputed attribution cases. It supports multi-hop question answering, reasoning fine-tuning, and evaluation in painting heritage research.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| answer | string | A concise answer that directly states the supported attribution or relationship. |
| evidence | array | Evidence linked to its sources that supports the answer and attribution assessment. |
| raw_case | object | The original question and source materials provided as inputs for attribution reasoning. |
| reasoning_steps | array | Ordered multi-step reasoning that connects source evidence to the final answer. |
| attribution_analysis | object | A synthesized assessment of the painting attribution and any differences among records. |
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?
- Examples address painting attribution, artist-workshop relationships, and related catalog records. Each includes the original question and materials, a concise answer, attribution analysis, source-linked evidence, and multi-step reasoning.
- Which capabilities can the dataset support?
- It supports multi-hop question answering, integration of textual evidence, painting attribution assessment, analysis of differences among source records, and generation of traceable reasoning steps. It can also be used to evaluate these capabilities.
- How can I access the data, and are its size and format fixed?
- The data is organized as structured QA examples with fields for source materials, answers, attribution analysis, evidence, and reasoning steps. Please refer to the current product page or delivery documentation for the available size, file format, and access method.
- What are the licensing terms and intended uses?
- Potential uses include painting heritage research, art history question-answering systems, and model training or evaluation. Usage rights, redistribution restrictions, and conditions applying to source materials are governed by the product license and the relevant source terms.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Painting Attribution and Workshop Relationship Multi-Hop Reasoning QA Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/26c95b0b30bf88d5ebb8ccacbc380693?dataset_scene_id=21},
urldate={2026-10-26},
keywords={painting attribution dataset,art attribution question answering,workshop relationship reasoning,painting heritage data,art history multi-hop QA,catalog record analysis,evidence-based reasoning dataset,reasoning SFT dataset},
version={1.0}
}Using this in research? Please cite us.