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README.md

@@ -50,6 +50,40 @@ Each sample contains:
 - **answer_1/answer_2**: Alternative answer formats
 - **images**: URLs to corresponding plot and numeric grid images
 
+## Image Generation
+
+The `images` field in each sample contains URLs to visual representations of the time series data. To generate these images and populate the `images` field:
+
+1. **Clone the data conversion repository:**
+   ```bash
+   git clone https://github.com/RainingNovember/LLaTiSA.git
+   cd LLaTiSA/data_convert
+   ```
+
+2. **Install required dependencies:**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. **Run the image generation script:**
+   ```bash
+   python generate_images.py --input_path /path/to/dataset.json --output_dir ./images
+   ```
+
+4. **Upload generated images to a hosting service** (e.g., GitHub, Imgur, or cloud storage) and collect the URLs.
+
+5. **Update the JSON files** by replacing the empty `images` array with the actual image URLs:
+   ```json
+   {
+     "images": [
+       "https://example.com/plot_image.png",
+       "https://example.com/grid_image.png"
+     ]
+   }
+   ```
+
+The `data_convert` folder contains scripts for generating both time series plots and high-density numeric grid visualizations that correspond to the `2img_prompt` instructions.
+
 ## File Organization
 
 ```