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--- |
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title: "Flickr Commons 1K Collection - Dynamic Data Lifeboat" |
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emoji: 🚢 |
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colorFrom: blue |
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colorTo: purple |
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sdk: docker |
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datasets: |
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- davanstrien/flickr-lifeboat-commons-1k-2025-raw |
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tags: |
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- flickr-commons |
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- data-lifeboat |
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pinned: false |
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--- |
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# Flickr Commons 1K Collection - Dynamic Data Lifeboat |
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This is a **Dynamic Data Lifeboat Space** that downloads and serves a Data Lifeboat collection at runtime. |
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## About This Collection |
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**Purpose:** The Flickr Foundation produced this special collection for release in January 2025. It showcases some of the most popular photography across the groundbreaking Flickr Commons program. We hope you enjoy it! |
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## How It Works |
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This Space dynamically downloads the raw Data Lifeboat from: |
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**[📦 davanstrien/flickr-lifeboat-commons-1k-2025-raw](https://huggingface.co/datasets/davanstrien/flickr-lifeboat-commons-1k-2025-raw)** |
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When the Space starts, it: |
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1. 📥 Downloads the complete Data Lifeboat archive |
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2. 🚀 Extracts and serves it using Python HTTP server |
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3. 🌐 Provides the same interactive experience as the original |
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## Advantages of Dynamic Hosting |
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- ✅ **No size limits** - Downloads happen at runtime within HuggingFace's infrastructure |
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- ✅ **Always fresh** - Pulls the latest version of the Data Lifeboat |
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- ✅ **Minimal upload** - Only configuration files need to be uploaded to the Space |
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- ✅ **Preserves integrity** - Raw Data Lifeboat served exactly as archived |
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## About Data Lifeboats |
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Data Lifeboats are **self-contained digital preservation archives** from the [Flickr Foundation](https://www.flickr.org/) that preserve complete cultural collections with: |
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- 📷 Original high-quality photos and thumbnails |
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- 📝 Complete metadata (titles, descriptions, tags, dates, locations) |
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- 🌐 Interactive web viewer with no external dependencies |
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- 📊 Structured data ready for research and analysis |
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--- |
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⚡ **Dynamic hosting** - This Data Lifeboat is downloaded fresh each time the Space starts. |
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*Technical implementation: Docker Space with runtime dataset download via `huggingface_hub`* |
