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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- scrape |
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--- |
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# Scrape Content Dataset v1 |
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A human-curated benchmark dataset for evaluating web scraping engines on content quality. |
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## Overview |
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This dataset contains 1,000 web pages with human-annotated ground truth for evaluating how well web scraping engines capture core content while avoiding noise (navigation, ads, footers, etc.). The dataset was created in 2025-10-21 and may become outdated over time. |
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## Dataset Structure |
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CSV format with columns: |
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- `id`: Sequential identifier |
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- `url`: Full URL of the web page |
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- `truth_text`: ~100-word core snippet (main content) |
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- `lie_text`: ~10-word non-core snippet (navigation/footer/ads) |
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- `error`: Optional error message if page retrieval failed |
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## Limitations |
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**Created**: 2025-10-21 |
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This dataset contains real-world web pages that may become outdated over time. Known issues include: |
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- URLs may become unavailable |
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- Content may be updated or removed |
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- Some pages may require JavaScript to load properly |
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For reproducible research, consider using this as a snapshot benchmark for the time period. |
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## Contributing |
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We welcome contributions to improve this dataset: |
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- **Bug Reports**: Report issues with specific entries |
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- **Updated Annotations**: Improve ground truth for existing pages |
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- **New Content**: Suggest additional web pages for evaluation |
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- **Dataset Maintenance**: Help keep URLs and content current |
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## License |
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MIT License - This dataset is provided for research and benchmarking purposes. Please respect website terms of service and use appropriate rate limiting. |
