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| title: Science Hierarchography | |
| emoji: 📚 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: streamlit | |
| sdk_version: "1.41.1" | |
| app_file: app.py | |
| pinned: false | |
| # Paper Clusters Explorer | |
| This Streamlit application visualizes research paper hierarchies, allowing exploration of clustered academic papers at different levels. Users can navigate through a hierarchical structure of paper clusters, view detailed paper information, and explore relationships between papers. | |
| ## Features | |
| - Browse hierarchical clusters of research papers | |
| - View detailed paper information including abstracts, citations, and metadata | |
| - Navigate through multiple clustering levels | |
| - Inspect citation statistics for papers and clusters | |
| - Interactive UI with expandable sections for paper details | |
| ## Usage | |
| 1. Select a hierarchy from the dropdown menu | |
| 2. Navigate through clusters by clicking on them | |
| 3. Expand paper details to view abstracts, problem statements, solutions, and results | |
| 4. Use the breadcrumb navigation to move up the hierarchy | |
| ## Data Structure | |
| This app expects hierarchy data in JSON format stored in the `hierarchies/` directory. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |