size_categories:100B<n<1T language:en code region:us
---
dataset_info:
  features:
  - name: caption
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 1372144989.6
    num_examples: 3960
  - name: test
    num_bytes: 343036247.4
    num_examples: 990
  download_size: 1709055735
  dataset_size: 1715181237
language:
- en
tags:
- code
size_categories:
- 100B<n<1T
---
# Dataset Card for "BilbaoCaptions"

## Dataset Description

- **Homepage:** https://github.com/TheMrguiller/MUCSI_Modal
- **Repository:** https://github.com/TheMrguiller/MUCSI_Modal
- **Paper:** It is a follow up of the Flamingo model paper
- **Leaderboard:**
- **Point of Contact:** https://github.com/TheMrguiller/MUCSI_Modal

### Dataset Summary

This dataset was collected for a proyect for a master degree in Computation and Intelligent System from University of Deusto. It was done by students and recolected from webpages famous in the Basque Country: Deia and Getimages.
### Supported Tasks and Leaderboards

The dataset is prepared to used it for visual question-answering. 

### Languages

The dataset is in english.

## Dataset Structure

### Data Fields

- `Caption`: This field has the description of the image. 
- `Image`: This field has the image corresponding to the description.

### Data Splits

The dataset is split in 80% train and 20% test.

## Considerations for Using the Data

The dataset has some flaws regarding to the descriptions. The descriptions sometimes are to specific for a captioning task. There are also to many futbol match data, so it isnt to well balanced. There are also some description that are to generic.

## Additional Information

### Dataset Curators

The curators of this dataset where the students from the Masters degree in Computation and Inteligent Systems from University of Deusto.
