update README.

Author: RogersPyke

docs/README.md

@@ -8,141 +8,72 @@ Live Demo: https://flagopen.github.io/RoboCOIN-DataManager/
 
 ## What is RoboCOIN DataManager?
 
-RoboCOIN DataManager is a user-friendly web application designed to help you easily browse, explore, and download datasets from the RoboCOIN project. Whether you're a researcher, developer, or robotics enthusiast, this tool provides an intuitive interface to discover and obtain the robotic manipulation data you need for your projects.
-
-### Key Features
-- **Browse RoboCOIN Datasets**: Explore hundreds of robotic manipulation episodes with video previews
-- **Advanced Filtering**: Find specific datasets by scene, robot type, actions, and objects
-- **Video Previews**: Watch short video clips of robotic tasks directly in your browser
-- **Batch Download**: Select multiple datasets and generate download commands for bulk acquisition
-- **Multi-Source Support**: Download from both ModelScope and HuggingFace repositories
-
-> ⚠️ **Important**: Before downloading datasets through this web interface, please install the [RoboCOIN project](https://github.com/FlagOpen/RoboCOIN) to get the best download experience with pre-built batch download scripts:
-> ```bash
-> pip install robocoin
-> ```
-
-## How the Web App Works
-
-This web application loads RoboCOIN dataset information directly in your browser and provides an interactive interface to explore and select datasets. Here's how it works:
-
-### Data Loading Process
-1. **Dataset Discovery**: The app loads metadata for all available RoboCOIN datasets
-2. **Video Previews**: Short video clips are loaded for previewing robotic tasks
-3. **Interactive Filtering**: You can filter datasets by various criteria like robot types, scenes, and actions
-4. **Download Generation**: Selected datasets are used to generate Python download commands
-
-### Browser Requirements
-- **Modern Browsers**: Chrome 61+, Firefox 60+, Safari 11+, Edge 61+, or Opera 48+
-- **JavaScript**: Must be enabled (the app uses modern ES6 modules)
-- **Internet Connection**: Required for loading dataset information and video previews
-
-## Main Features
-
-### 1. Dataset Exploration
-- **Visual Previews**: Watch short video clips of robotic manipulation tasks
-- **Detailed Information**: View comprehensive metadata for each dataset including robot types, scenes, actions, and objects
-- **Responsive Design**: Works seamlessly on desktop, tablet, and mobile devices
-
-### 2. Smart Filtering System
-- **Multiple Filter Categories**: Filter datasets by scene, robot model, end-effector, action type, and manipulated objects
-- **Real-time Search**: Search datasets by name with instant filtering
-- **Filter Combinations**: Combine multiple filters to find exactly the datasets you need
-- **Quick Reset**: Easily clear all filters with one click
-
-### 3. Dataset Selection and Management
-- **Visual Selection**: Click on dataset cards to select/deselect them
-- **Batch Operations**: Select all visible datasets or clear all selections at once
-- **Selection Counter**: Always see how many datasets you've selected
-- **Shopping Cart**: Your selected datasets appear in a dedicated panel on the right
-
-### 4. Download Management
-- **Multi-Source Downloads**: Choose between downloading from ModelScope or HuggingFace
-- **Python Commands**: Get ready-to-use Python commands for downloading your selected datasets
-- **Clipboard Integration**: Copy download commands with one click
-- **Selection Backup**: Export your dataset selections as JSON files for later use
-
-### 5. User-Friendly Interface
-- **Loading Progress**: See progress bars while datasets are loading
-- **Error Handling**: Clear error messages if something goes wrong
-- **Toast Notifications**: Helpful feedback for your actions
-- **Keyboard Shortcuts**: Use Ctrl+F to quickly search through filter options
-
-## Getting Started
-
-### Accessing the Web App
-1. Visit the live demo: https://flagopen.github.io/RoboCOIN-DataManager/
-2. Wait for the datasets to load (you'll see a progress bar)
-3. Start exploring the RoboCOIN datasets!
-
-### Browser Compatibility
-- **Recommended**: Chrome 61+, Firefox 60+, Safari 11+, Edge 61+
-- **JavaScript**: Must be enabled in your browser
-- **Internet**: Required for loading dataset information
-
-## How to Use the Web App
-
-### Step 1: Explore Datasets
-1. **Browse Videos**: Scroll through the dataset cards to see video previews of robotic tasks
-2. **Hover for Info**: Hover over any video card to see basic information without clicking
-3. **Click for Details**: Click on a video card to open a detailed modal with complete dataset information
-
-### Step 2: Filter Your Search
-1. Click the **"Filter datasets"** button in the top control bar
-2. Use the sidebar to choose filter categories:
-   - **Scene**: Filter by environment (kitchen, living room, etc.)
-   - **Robot**: Filter by robot model (Franka, UR5, etc.)
-   - **End-effector**: Filter by gripper type
-   - **Action**: Filter by task type (pick, place, etc.)
-   - **Object**: Filter by manipulated objects
-3. Click filter options to activate them (you can select multiple)
-4. Use the search box (Ctrl+F) to quickly find specific filter options
-5. Click **"Done"** or press Escape to apply filters
-
-### Step 3: Search by Name
-- Use the search box in the top control bar to search datasets by name
-- Search works with your active filters for precise results
-- Click the × button to clear your search
-
-### Step 4: Select Datasets
-1. **Individual Selection**: Click on video cards to select/deselect them (selected cards show a border and checkmark)
-2. **Batch Selection**: Click **"Select all datasets"** to select everything currently visible
-3. **Clear Selection**: Click **"Deselect all datasets"** to clear all selections
-4. Watch the selection counter in the top bar to see how many you've chosen
-
-### Step 5: Generate Download Commands
-1. Your selected datasets appear in the **"Batch Downloader"** panel on the right
-2. Choose your preferred download source: **HuggingFace** or **ModelScope**
-3. Click **"Copy & Checkout"** to copy the Python download command
-4. Paste and run the command in your terminal to download the datasets
-5. **Optional**: Add `--target-dir /your/custom/path` to the command for custom download location
-
-### Step 6: Save Your Selections
-- **Export Selections**: Click **"Export JSON"** to save your current selections as a file
-- **Import Selections**: Click **"Import JSON"** to load previously saved selections
-- Useful for sharing selections or continuing work later
-
-### Tips for Best Experience
-- **Video Loading**: Videos load automatically when you hover over them
-- **Performance**: The app uses virtual scrolling to handle large numbers of datasets efficiently
-- **Mobile Friendly**: Works on tablets and phones with touch controls
-- **Error Recovery**: If something goes wrong, try refreshing the page
-
-## Need Help or Found an Issue?
-
-### Report Problems
-If you encounter any issues while using the web app, please let us know:
-- **GitHub Issues**: Visit the [RoboCOIN repository](https://github.com/FlagOpen/RoboCOIN) and create an issue
-- **Describe the Problem**: Include what you were doing, what browser you're using, and any error messages
-- **Screenshots**: If possible, include screenshots of the issue
-
-### Contact Information
-For questions about the RoboCOIN project or datasets:
-- **Email**: pykerogers@outlook.com
-- **Project Repository**: [github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
-
-### About RoboCOIN
-This web app is part of the RoboCOIN project. To learn more about the datasets and how to use them in your research:
-1. Visit the main RoboCOIN repository
-2. Install the Python package: `pip install robocoin`
-3. Follow the documentation for dataset usage and citation information
+RoboCOIN DataManager is a web app that helps you find and download robotic manipulation datasets from the RoboCOIN project. Instead of digging through complex commands, you can browse videos, filter by tags, pick what you need, and get ready-to-use download commands.
+
+## How to download in one step?
+
+Just click the download icon in the bottom-right corner of any video panel to directly copy the download command!
+
+## How to batch download the data I want?
+
+### Step 1: Open the website
+Visit: https://flagopen.github.io/RoboCOIN-DataManager/
+
+Wait for datasets to load (you'll see a progress bar).
+
+### Step 2: Find the data you want
+- **Browse videos**: Scroll through the video cards to see what robotic tasks are available
+- **Use filters**: Click "Filter datasets" to narrow down by:
+  - What room/scene (kitchen, living room, etc.)
+  - What robot (Unitree, Agilex, etc.)
+  - What action (pick up, place, etc.)
+  - What objects (cups, boxes, etc.)
+- **Search by name**: Use the search box to find specific datasets
+
+### Step 3: Pick your datasets
+- Click on video cards to select them, you can select multiple!
+- Use "Select all" and "Deselect all" for quick full selection/deselection!
+- The counter at the top shows how many datasets you've currently selected
+
+### Step 4: Get download commands
+- Look at the "Batch Downloader" panel on the right - all your selected datasets are here!
+- Choose your preferred source: HuggingFace or ModelScope
+- Click "Copy & Checkout" to copy the Python command
+
+### Step 5: Download the data
+1. **First, install RoboCOIN** (one time setup):
+   ```bash
+   pip install robocoin
+   ```
+   Pull the corresponding project first: https://github.com/FlagOpen/RoboCOIN
+
+2. **Paste and run the command**:
+   If needed, you can customize your own download target directory:
+   ```bash
+   ...--target-dir YOUR_TARGET_DOWNLOAD_DIR
+   ```
+
+3. **Wait for download** - RoboCOIN's download tool will handle everything automatically
+
+That's it! Your data will be downloaded to your computer.
+
+## More Features
+
+### Save your selections
+- Click "Export JSON" to save your current picks as a file
+- Click "Import JSON" to load saved selections later
+- Useful for sharing or continuing work later
+
+## Need Help?
+
+### Having trouble downloading?
+1. Make sure you installed RoboCOIN: `pip install robocoin`
+2. Check your internet connection to GitHub
+
+### Found a bug or have questions?
+- **Report issues**: [RoboCOIN GitHub](https://github.com/FlagOpen/RoboCOIN) or create an issue directly in this project
+- **Email**: Feel free to contact pykerogers@outlook.com
+
+### Learn more about RoboCOIN
+- **Main project**: [github.com/FlagOpen/RoboCOIN](https://github.com/FlagOpen/RoboCOIN)
+- **Documentation**: Check the main repo for dataset details and research usage