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README.md
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#
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# Step 1: Clone the repository using the project's Git URL.
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git clone <YOUR_GIT_URL>
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# Step 2: Navigate to the project directory.
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cd <YOUR_PROJECT_NAME>
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# Step 3: Install the necessary dependencies.
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npm i
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# Step 4: Start the development server with auto-reloading and an instant preview.
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npm run dev
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```
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**Edit a file directly in GitHub**
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- Navigate to the desired file(s).
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- Click the "Edit" button (pencil icon) at the top right of the file view.
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- Make your changes and commit the changes.
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**Use GitHub Codespaces**
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- Navigate to the main page of your repository.
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- Click on the "Code" button (green button) near the top right.
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- Select the "Codespaces" tab.
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- Click on "New codespace" to launch a new Codespace environment.
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- Edit files directly within the Codespace and commit and push your changes once you're done.
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## What technologies are used for this project?
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This project is built with:
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- Vite
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- TypeScript
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- React
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- shadcn-ui
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- Tailwind CSS
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## How can I deploy this project?
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Simply open [Lovable](https://lovable.dev/projects/8aa9e4c0-6eb6-4e82-be77-bf73d2334003) and click on Share -> Publish.
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## Can I connect a custom domain to my Lovable project?
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Yes, you can!
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To connect a domain, navigate to Project > Settings > Domains and click Connect Domain.
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Read more here: [Setting up a custom domain](https://docs.lovable.dev/tips-tricks/custom-domain#step-by-step-guide)
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---
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title: PetSet 🐾
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emoji: 🧠
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colorFrom: pink
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colorTo: red
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sdk: streamlit
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sdk_version: "1.27.2"
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app_file: app.py
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pinned: false
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---
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# 🐾 PetSet – Your Dataset Pet
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PetSet transforms robotic dataset curation into a game. Upload a LeRobot JSON file and visualize your dataset as a virtual pet with attributes like Health, Energy, and Attention.
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Perform real-time cleaning, quality checks, and even integrate Phospho tools to repair and validate your dataset.
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> Gamified interface + real technical power = joyful data handling 🧠⚡❤️
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## 🚀 How to use
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1. Upload a `.json` LeRobotDataset file
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2. Watch your pet respond to data quality
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3. Click buttons to **heal**, **feed**, or **check** your dataset
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4. Download the cleaned dataset
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Built with `streamlit`, `pandas`, `numpy` and optionally integrated with `phospho`.
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## 🤖 Compatible with
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- Datasets from `gym-hil` or `smolvla`
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- `.json` outputs from LeRobot workflows
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## 🛠 Features
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- Upload / visualize dataset
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- Success/failure analysis
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- Remove corrupted episodes
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- Clean + download updated version
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- Visual pet with evolving stats
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Created for the Hugging Face **LeRobot Hackathon – Track 5**
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