Painting Heritage Provenance Chain Multi-Hop QA Dataset

#multi-hop question answering #provenance chain tracing #documentary evidence retrieval #art provenance research #cultural heritage documentation #artwork ownership history verification

3350
0.2GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset focuses on paintings' historical owners, collecting institutions, transfer events, and related documentary records. It contains questions that require linking multiple provenance nodes and dates, along with answers, provenance chains, reasoning steps, and evidence links. The text-based data supports training and evaluating provenance tracing and evidence-based reasoning in painting heritage research, without requiring image input.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer_text	string	Concise answer derived from the source materials and directly addressing the question.
question_text	string	Question to answer by tracing the painting's provenance across multiple source nodes and points in time.
evidence_links	array	Specific documentary evidence supporting the answer and inferences made along the provenance chain.
reasoning_steps	array	Ordered explanation showing how the answer follows from linking provenance nodes, dates, and source evidence.
provenance_chain	array	Ordered sequence of owners, collections, or transfer events used to establish the answer.
source_materials	object	Original source packet containing painting details, provenance records, ownership or transfer events, and documentary references. Preserve the source wording and references when available.

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?: Each record is organized around a painting's provenance and includes source materials, a question, an answer, an ordered provenance chain, reasoning steps, and evidence links. This structure helps users trace conclusions back to supporting records.

Which model capabilities can this dataset support?: It supports training and evaluation for multi-hop question answering, ownership and transfer tracing, linking information across time, and reasoning from documentary evidence in painting heritage contexts. It is also suitable for reasoning-focused supervised fine-tuning.

Does answering the questions require painting images?: No. The dataset uses text-based questions, answers, and source materials. Its focus is on connecting owners, collecting institutions, transfer events, dates, and documentary records rather than processing image input.

How can I access the dataset, and what are the licensing terms?: Check the dataset product page for available access methods, file specifications, and licensing terms. Before use, verify that the license covers your research or commercial use and review the applicable rights for documentary materials and provenance records.

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Cite this Work

@dataset{Mobiusi2026,
  title={Painting Heritage Provenance Chain Multi-Hop QA Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/d4ce3aed5240d27b94a87aa09a097a07},
  urldate={2026-10-21},
  keywords={painting heritage dataset,artwork provenance chain,painting provenance tracing,multi-hop QA data,art history reasoning,collection ownership records,documentary evidence reasoning,reasoning SFT dataset},
  version={1.0}
}

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