File size: 4,108 Bytes
8d3ef36 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 |
---
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
```markdown
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Hierarchical topic relationships and categorization data for organizing and filtering art historical content.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:
```bibtex
@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](https://huggingface.co/spaces/samwaugh/artefact)
- **Embeddings Dataset**: [samwaugh/artefact-embeddings](https://huggingface.co/datasets/samwaugh/artefact-embeddings)
- **Markdown Dataset**: [samwaugh/artefact-markdown](https://huggingface.co/datasets/samwaugh/artefact-markdown)
## 📄 License
This dataset is released under the MIT License. See the [LICENSE](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.
---
*Part of the ArteFact AI Research Platform - Bridging Visual Art and Textual Scholarship*
|