---
title: tabfquad_test_subsampled
canonical_url: "https://www.modelscope.cn/datasets/vidore/tabfquad_test_subsampled"
md_url: "https://www.modelscope.cn/datasets/vidore/tabfquad_test_subsampled.md"
repository: vidore/tabfquad_test_subsampled
last_updated: 2025-06-20
license: "Apache License 2.0"
storage_size: "22 MB"
downloads: 550
stars: 0
---

# tabfquad_test_subsampled

> tabfquad_test_subsampled - vidore 在 ModelScope 开源的数据集。TabFQuAD (Table French Question Answering Dataset) is designed to evaluate TableQA models in realistic industry settings. Using a vision language model (GPT4V), we create additional queries to augment the…

vidore/tabfquad_test_subsampled 是 ModelScope 魔搭社区上的数据集，存储大小 22 MB，采用 Apache License 2.0 许可。

- **Repository**: vidore/tabfquad_test_subsampled
- **License**: Apache License 2.0
- **Storage size**: 22 MB
- **Downloads**: 550
- **Stars**: 0
- **Last updated**: 2025-06-20

Source: https://www.modelscope.cn/datasets/vidore/tabfquad_test_subsampled

---

## Dataset Description

TabFQuAD (Table French Question Answering Dataset) is designed to evaluate TableQA models in realistic industry settings. Using a vision language model (GPT4V), we create additional queries to augment the existing human-annotated ones.

### Data Curation
To ensure homogeneity across our benchmarked datasets, we subsampled the original test set to 280 pairs, leaving the rest for training and renaming the different columns.

### Load the dataset 

```python
from datasets import load_dataset
ds = load_dataset("vidore/tabfquad_test_subsampled", split="test")
```

### Dataset Structure

Here is an example of a dataset instance structure: 

```json
features:
  - name: query
    dtype: string
  - name: image_filename
    dtype: string
  - name: generated_by
    dtype: string
  - name: GPT4 caption
    dtype: string
  - name: image
    dtype: image
  - name: source
    dtype: string
```