metadata

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

Select a hierarchy from the dropdown menu
Navigate through clusters by clicking on them
Expand paper details to view abstracts, problem statements, solutions, and results
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