task_categories:image-feature-extraction language:fr size_categories:1K<n<10K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 240244395.0
    num_examples: 1832
  download_size: 121485166
  dataset_size: 240244395.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-feature-extraction
language:
- fr
---

## Description

[manu/tabfquad_retrieving](https://huggingface.co/datasets/manu/tabfquad_retrieving) dataset that we processed.  
Although useless, we have created an empty `answer` column to facilitate the concatenation of this dataset with VQA datasets where only the `quesion` and `image` columns would be used to train a Colpali-type model or one of its derivatives.

## Citation

```
https://huggingface.co/datasets/manu/tabfquad_retrieving
```
