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Dataset Finder

Dataset Finder

Sk Ekram

|
2 installs
| (1) | Free
Search datasets from Hugging Face, Kaggle, GitHub, UCI & more inside VS Code. Find the perfect ML dataset without leaving your editor.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

🔍 Dataset Finder

Find the perfect ML dataset without leaving VS Code.


😤 The Problem

Every ML/data science developer knows this pain:

  • Open browser → go to Kaggle → search → not what you need
  • Go to Hugging Face → search again → still not right
  • Try UCI → Google Dataset Search → Papers With Code...
  • You've wasted 20 minutes and haven't written a single line of code

✅ The Solution

Dataset Finder brings every major dataset platform into one beautiful panel inside VS Code. One search. All platforms. Instant results.


✨ Features

Feature Description
🔎 Multi-platform search Search 7+ platforms simultaneously
🤗 Hugging Face Live API — real results with download counts
🐙 GitHub Live API — dataset repos sorted by stars
📄 Papers With Code Live API — research datasets linked to papers
🔴 OpenML Live API — structured ML datasets
📊 Kaggle Browser redirect — thousands of community datasets
🌐 Google Dataset Search Browser redirect — datasets from across the web
🏛 UCI ML Repository Browser redirect — classic ML datasets
⚡ One-click open Opens dataset page in browser instantly
📋 Copy link Copy dataset URL to clipboard
🎛 Source filters Toggle which platforms to search
🚀 Quick searches Popular topics ready to click
🤖 Auto-opens Opens automatically on first install

🚀 Getting Started

Install

Search Dataset Finder in VS Code Extensions (Ctrl+Shift+X) or install directly from VS Code Marketplace

The extension opens automatically after first install!


Open Dataset Finder

3 ways to open:

① Activity Bar Icon

Click the 🔍 icon on the left sidebar → click Open Dataset Finder button

② Keyboard Shortcut

Ctrl + Shift + D    (Windows / Linux)
Cmd  + Shift + D    (Mac)

③ Command Palette

Ctrl + Shift + P  →  Dataset Finder: Search Datasets

How to Search

  1. Type your topic in the search bar
brain tumor
sentiment analysis
mnist
covid 19
stock prices
  1. Toggle source filters at the top to choose platforms

  2. Press Enter or click Search

  3. Browse results — each card shows:

    • Dataset name and source platform
    • Description
    • Tags
    • Download count / stars / paper count
    • Open & Download button → opens in browser
    • Copy Link button → copies URL

🌐 Supported Platforms

Platform Type Auth Needed Cost
🤗 Hugging Face Live API No Free
🐙 GitHub Live API No Free
📄 Papers With Code Live API No Free
🔴 OpenML Live API No Free
📊 Kaggle Redirect Free account Free
🔍 Google Dataset Search Redirect No Free
🏛 UCI ML Repository Redirect No Free

💡 Tips for Better Results

  • ✅ Use specific keywords → brain tumor MRI classification instead of just medical
  • ✅ Deselect platforms you don't need for faster results
  • ✅ Results are sorted by popularity — most downloaded appear first
  • ✅ Use Copy Link to save dataset URLs for later
  • ✅ Try the quick search chips on the welcome screen

⌨️ Keyboard Shortcuts

Shortcut Action
Ctrl+Shift+D Open Dataset Finder
Enter Search

🛠 Requirements

  • VS Code 1.80.0 or higher
  • Active internet connection for live search

📝 Changelog

v1.0.4 — Latest

  • ✅ Cleaned up README
  • ✅ Removed broken image links

v1.0.3

  • ✅ Added Data Science and Machine Learning categories
  • ✅ Better Marketplace description and keywords
  • ✅ Improved welcome panel with platform list
  • ✅ Gallery banner added

v1.0.2

  • ✅ Extension auto-opens on first install
  • ✅ Added activity bar icon
  • ✅ Added Open Dataset Finder button in sidebar

v1.0.1

  • ✅ Activity bar panel added
  • ✅ Welcome screen improved

v1.0.0 — Initial Release

  • 🎉 Live search from Hugging Face, GitHub, Papers With Code, OpenML
  • 🎉 Source filter chips
  • 🎉 Quick search shortcuts
  • 🎉 One-click open and copy link

📄 License

MIT License — free to use, modify and distribute.


Made with ❤️ for the ML and data science community
Install on VS Code Marketplace

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