Decorative Arts Museum Catalog Record Question Answering Dataset

#question answering #catalog record understanding #evidence-based reasoning #decorative arts research #museum collection catalog analysis #cultural heritage documentation

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset centers on collection catalog records from decorative arts museums and turns information such as object names, types, dates, creators, and collection details into closed-domain question-answering examples. Answers must rely strictly on the supplied record and identify supporting evidence; examples can also teach models to recognize when a record does not contain enough information. The data is suited to museum collection search, specialist question answering, and domain-model fine-tuning and evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer	string	A concise answer supported by the catalog record; state when the requested information is not recorded.
question	string	A question about the object that must be answered using only the supplied catalog record.
answerability	string	Whether the supplied catalog record contains enough information to answer the question.
catalog_record	object	The source catalog information used to answer the question.
supporting_evidence	string	The relevant catalog wording or a faithful reference to the record fields that support the answer.

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 example includes a collection catalog record, a question about an object, an answer based on the record, supporting catalog evidence, and an answerability label. Questions cover catalog details such as object names, types, dates, creators, and collection information.

How does the dataset support answer quality training?: Answers must be grounded in the supplied catalog record and supported by relevant wording or fields. When the record does not provide the requested information, the response should state that it is missing. This supports training and evaluation of factual accuracy, evidence grounding, and answerability judgment.

Which use cases is the dataset suited to?: It can support museum collection catalog question answering, collection information retrieval, art history and decorative arts knowledge services, as well as supervised fine-tuning and closed-domain QA evaluation for specialist models.

How can I obtain the data, and what are the licensing terms?: Obtain the data through the dataset listing or the delivery channel provided by the platform, and review the listed file specifications, license scope, and citation requirements before use. No specific license is stated here, so consult the applicable license documents before commercial use, redistribution, or public release.

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Cite this Work

@dataset{Mobiusi2026,
  title={Decorative Arts Museum Catalog Record Question Answering Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/adaa58cb4fd9e61a3f6523b2d4beab63},
  urldate={2026-10-17},
  keywords={decorative arts dataset,museum collection QA,catalog record data,closed-domain QA dataset,art knowledge base,museum AI training,evidence-grounded answers,cultural heritage QA},
  version={1.0}
}

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