README.md

metadata

license: mit

ArteFact JSON Dataset

A structured metadata collection containing comprehensive information about artworks, creators, topics, and sentence-level annotations from the ArteFact art historical corpus.

Dataset Overview

This dataset provides the foundational metadata and structured information that powers the ArteFact AI research platform. It contains 5 essential JSON files that enable cross-referencing between visual artworks, scholarly texts, and semantic embeddings.

🏗️ Data Structure

artefact-json/
├── creators.json      # Artist and creator information
├── sentences.json     # Sentence-level annotations and metadata
├── topic_names.json   # Human-readable topic labels
├── topics.json        # Topic categorization and relationships
└── works.json         # Artwork metadata and descriptions

Dataset Statistics

• Total Files: 5 JSON files
• Total Size: ~1.2 GB
• Data Coverage: 7,200+ artworks and associated metadata

File Details

File	Size	Description	Records
creators.json	850 KB	Artist and creator information	Creator profiles
sentences.json	1.18 GB	Sentence-level annotations	Sentence metadata
topic_names.json	549 B	Human-readable topic labels	Topic mappings
topics.json	1.85 MB	Topic categorization	Topic relationships
works.json	8.5 MB	Artwork metadata	Work descriptions

Data Schema

creators.json

Contains biographical and professional information about artists, architects, and other creators referenced in the corpus.

sentences.json

The largest file containing sentence-level metadata, annotations, and cross-references between textual content and visual artworks.

topic_names.json

Human-readable labels for topic categories, enabling semantic search and filtering across the corpus.

topics.json

Hierarchical topic relationships and categorization data for organizing and filtering art historical content.

works.json

Comprehensive metadata about individual artworks, including titles, dates, materials, dimensions, and provenance information.

🚀 Usage

This dataset is designed to work in conjunction with:

• samwaugh/artefact-embeddings - Vector embeddings for semantic search
• samwaugh/artefact-markdown - Source scholarly texts and images

Example Use Cases

• Metadata-driven search and filtering
• Cross-referencing between artworks and scholarly texts
• Topic modeling and categorization analysis
• Creator relationship mapping and analysis
• Art historical research and data mining
• AI training for art understanding models

Data Relationships

The JSON files are interconnected through shared identifiers:

• Work IDs (e.g., W1009740230) link works to their metadata
• Creator IDs connect artists to their works and biographical data
• Topic IDs enable categorization and semantic organization
• Sentence IDs provide granular access to textual content

📖 Citation

If you use this dataset in your research, please cite:

@dataset{artefact_json_2024,
  title={ArteFact JSON Dataset},
  author={Waugh, Samuel},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/samwaugh/artefact-json}
}

🔗 Related Resources

• ArteFact Platform: samwaugh/artefact
• Embeddings Dataset: samwaugh/artefact-embeddings
• Markdown Dataset: samwaugh/artefact-markdown

📄 License

This dataset is released under the MIT License. See the LICENSE file for details.

Contributing

This dataset is part of the larger ArteFact project. For questions, issues, or contributions, please refer to the main ArteFact repository.

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Part of the ArteFact AI Research Platform - Bridging Visual Art and Textual Scholarship