---
title: Embedding Atlas Explorer
emoji: 🗺️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: true
---

# Embedding Atlas Explorer

This Space allows you to visualize any text-based dataset from the Hugging Face Hub using [Apple's Embedding Atlas](https://github.com/apple/embedding-atlas).

## How it works:
1.  **Load Data**: Enter the name of a dataset from the Hub, specify the text column, and choose a sample size.
2.  **Generate Embeddings**: The backend uses a Sentence Transformer model to convert the text into numerical vectors (embeddings).
3.  **Reduce Dimensions**: UMAP is used to project the high-dimensional embeddings down to a 2D map for visualization.
4.  **Explore**: The interactive Atlas UI is displayed, allowing you to pan, zoom, select points, and explore the structure of your text data.