---
title: EVisRAG-Train
canonical_url: "https://www.modelscope.cn/datasets/OpenBMB/EVisRAG-Train"
md_url: "https://www.modelscope.cn/datasets/OpenBMB/EVisRAG-Train.md"
repository: OpenBMB/EVisRAG-Train
last_updated: 2025-12-08
license: "Apache License 2.0"
storage_size: "4.0 GB"
downloads: 97
stars: 0
---

# EVisRAG-Train

> EVisRAG-Train - OpenBMB 在 ModelScope 开源的数据集。This is a VQA Training dataset, collected from ChartQA, InfographicVQA, and MMLongBench-Doc.

OpenBMB/EVisRAG-Train 是 ModelScope 魔搭社区上的数据集，存储大小 4.0 GB，采用 Apache License 2.0 许可。

- **Repository**: OpenBMB/EVisRAG-Train
- **License**: Apache License 2.0
- **Storage size**: 4.0 GB
- **Downloads**: 97
- **Stars**: 0
- **Last updated**: 2025-12-08

Source: https://www.modelscope.cn/datasets/OpenBMB/EVisRAG-Train

---

paper: [2510.09733](https://arxiv.org/abs/2510.09733)

**Dataset Description**

This is a VQA Training dataset, collected from [ChartQA](https://arxiv.org/abs/2203.10244), [InfographicVQA](https://arxiv.org/abs/2104.12756), and [MMLongBench-Doc](https://arxiv.org/abs/2407.01523).

**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)
```