---
task_categories:
- question-answering
size_categories:
- n<1K
language:
- en
---
**Dataset Description**

This is a VQA dataset for Document Visual Question Answering on Multiple Images from [SlideVQA](https://arxiv.org/abs/2301.04883).

**Load the dataset**
```python
import pandas as pd
import os
import sys
data_name = sys.argv[1]
df = pd.read_parquet(f"data/{data_name}/images.parquet", engine="pyarrow")
output_dir = f"data/{data_name}"
os.makedirs(f"{output_dir}/imgs", exist_ok=True)
for idx, row in df.iterrows():
    img_bytes = row['image']['bytes']
    output_path = os.path.join(output_dir, row["path"])
    with open(output_path, "wb") as f:
        f.write(img_bytes)
```