# **Supplementary Material For Submission 22768**

Thank you very much for your valuable review!

In this repo, we briefly go through our curriculum design to better support CURV:

## **CCQA Examples**

We put a small set of examples with *applied* visual grounding here:
```bash
cd data_examples
```

It contains both the original chart image and the *applied* grounding image for each of 7 types of charts.

## **Case Studies**

We also store our case study images here to support our analysis:
```bash
cd chart_case_study
```

## **Curriculum Learning**

We store some of our templates here to elaborate our implementation in detail
```bash
cd src
```

As our complete source code is very lengthy in terms of CQA templates, we select statistics operators across three curriculum levels to support our design with more concise examples:
- **Bar Chart:** bar_generator.py
- **Histogram Chart:** histogram_generator.py
- **Scatter Chart:** scatter_generator.py
- **Line Chart:** line_generator.py
- **Pie Chart:** pie_generator.py
- **Heatmap:** heatmap_generator.py
- **Radar Chart:** radar_generator.py



### Thank you very much for your valuable review!