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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: becf9fa9-16dc-4716-8117-5d95e24b4e3b)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory
                  return HubDatasetModuleFactory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in get_module
                  standalone_yaml_path = cached_path(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 167, in cached_path
                  resolved_path = huggingface_hub.HfFileSystem(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: becf9fa9-16dc-4716-8117-5d95e24b4e3b)')

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ArteFact Markdown Dataset

A comprehensive collection of scholarly art historical texts and associated images, organized by individual artworks and their corresponding scholarly documentation.

�� Dataset Overview

This dataset contains 7,200 individual art works, each with their associated scholarly markdown documentation and visual materials. The dataset serves as the primary source material for the ArteFact AI research platform, which bridges visual art and textual scholarship.

🏗️ Data Structure 

artefact-markdown/
├── works/
│   ├── W1009740230/
│   │   ├── content.md          # Scholarly text for this work
│   │   └── images/            # Associated visual materials
│   │       ├── image-001.jpg
│   │       ├── image-002.jpg
│   │       └── ...
│   ├── W2158127127/
│   └── ... (7,200 total work directories)

Dataset Statistics

  • Total Works: 7,200
  • Total Files: 239,996
  • Total Size: ~19.1 GB

File Distribution by Work Size

Files per Work Number of Works Percentage
1 file 1,380 19.2%
2-10 files 2,666 37.0%
11-100 files 2,800 38.9%
100+ files 354 4.9%
1,000+ files 7 0.1%
10,000+ files 3 0.04%

Content Types

Scholarly Documentation

  • Art historical analysis and descriptions
  • Biographical information about artists and creators
  • Historical context and provenance details
  • Technical specifications and material information
  • Critical interpretations and scholarly commentary

Visual Materials

  • High-resolution artwork images
  • Detail shots and close-ups
  • Comparative images and contextual materials
  • Documentation photos and archival materials

🔍 Work Identification

Each work is identified by a unique W prefix followed by a numerical identifier (e.g., W1009740230). These identifiers correspond to the works referenced in the companion artefact-json dataset.

🚀 Usage

This dataset is designed to work in conjunction with:

  • samwaugh/artefact-embeddings - Vector embeddings of the textual content
  • samwaugh/artefact-json - Structured metadata and sentence-level annotations

Example Use Cases

  • Art historical research and analysis
  • AI training for art understanding models
  • Scholarly text mining and analysis
  • Cross-modal learning between text and images
  • Digital humanities research projects

📖 Citation

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

@dataset{artefact_markdown_2024,
  title={ArteFact Markdown Dataset},
  author={Waugh, Samuel},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/samwaugh/artefact-markdown}
}

🔗 Related Resources

📄 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.

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

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