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README.md

@@ -65,24 +65,60 @@ The `images` field in each sample contains URLs to visual representations of the
    pip install -r requirements.txt
    ```
 
-3. **Run the image generation script:**
+3. **Run the appropriate conversion script based on dataset level:**
+   
+   **For Level 1 datasets:**
    ```bash
-   python generate_images.py --input_path /path/to/dataset.json --output_dir ./images
+   python data_convert_l1.py \
+     --input /path/to/level1_train.json \
+     --output /path/to/level1_train_with_images.json \
+     --plot_dir ./images/plots \
+     --num_dir ./images/numeric \
+     --plot_prefix "https://your-hosting.com/images/plots" \
+     --num_prefix "https://your-hosting.com/images/numeric" \
+     --sample_ratio 1.0
+   ```
+   
+   **For Level 2 datasets:**
+   ```bash
+   python data_convert_l2.py \
+     --input /path/to/level2_train.json \
+     --output /path/to/level2_train_with_images.json \
+     --plot_dir ./images/plots \
+     --num_dir ./images/numeric \
+     --plot_prefix "https://your-hosting.com/images/plots" \
+     --num_prefix "https://your-hosting.com/images/numeric" \
+     --sample_ratio 1.0
+   ```
+   
+   **For Level 3 datasets:**
+   ```bash
+   python data_convert_l3.py \
+     --input /path/to/level3_train.json \
+     --output /path/to/level3_train_with_images.json \
+     --plot_dir ./images/plots \
+     --num_dir ./images/numeric \
+     --plot_prefix "https://your-hosting.com/images/plots" \
+     --num_prefix "https://your-hosting.com/images/numeric" \
+     --sample_ratio 1.0
    ```
 
-4. **Upload generated images to a hosting service** (e.g., GitHub, Imgur, or cloud storage) and collect the URLs.
+4. **Upload generated images to a hosting service** (e.g., GitHub, Imgur, or cloud storage) and update the URL prefixes in the commands above.
 
-5. **Update the JSON files** by replacing the empty `images` array with the actual image URLs:
+5. **The output JSON files will have the `images` field populated** with the correct URLs:
    ```json
    {
      "images": [
-       "https://example.com/plot_image.png",
-       "https://example.com/grid_image.png"
+       "https://your-hosting.com/images/plots/plot_1.png",
+       "https://your-hosting.com/images/numeric/num_1.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.
+**Notes:**
+- Each script generates two types of images per sample: trend plots (`plot_*.png`) and high-density numeric grids (`num_*.png`)
+- Use `--sample_ratio 1.0` to process all samples (default is 0.5)
+- The scripts automatically update the `prompt` and `answer` fields based on the dataset level requirements
 
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