---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: filename
    dtype: string
  - name: caption
    sequence: string
  splits:
  - name: train
    num_bytes: 829880166
    num_examples: 6000
  - name: test
    num_bytes: 136929806
    num_examples: 1000
  - name: validation
    num_bytes: 138076299
    num_examples: 1000
  download_size: 1102895899
  dataset_size: 1104886271
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
task_categories:
- image-to-text
- text-to-image
- text-generation
language:
- pt
pretty_name: Flickr8K Portuguese Translation
size_categories:
- 1K<n<10K
---


# 🎉 Flickr8K Dataset Translation for Portuguese Image Captioning

## 💾 Dataset Summary

Flickr8K Portuguese Translation, a multimodal dataset for Portuguese image captioning with 8,000 images, each accompanied by five descriptive captions that have been
generated by human annotators for every individual image. The original English captions were rendered into Portuguese
through the utilization of the Google Translator API.

## 🧑‍💻 Hot to Get Started with the Dataset

```python
from datasets import load_dataset

dataset = load_dataset('laicsiifes/flickr8k-pt-br')
```

## ✍️ Languages

The images descriptions in the dataset are in Portuguese.

## 🧱 Dataset Structure

### 📝 Data Instances

An example looks like below: 

```
{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x399>,
  'filename': 'ad5f9478d603fe97.jpg',
  'caption': [
    'Um cachorro preto está correndo atrás de um cachorro branco na neve.',
    'Cachorro preto perseguindo cachorro marrom na neve',
    'Dois cães perseguem um ao outro pelo chão nevado.',
    'Dois cachorros brincam juntos na neve.',
    'Dois cães correndo por um corpo de água baixo.'
  ]
}
```

### 🗃️ Data Fields

The data instances have the following fields:

- `image`: a `PIL.Image.Image` object containing image.
- `filename`: a `str` containing name of image file.
- `caption`: a `list` of `str` containing 5 captions related to image.

### ✂️ Data Splits

The dataset is partitioned using the Karpathy splitting appoach for Image Captioning
([Karpathy and Fei-Fei, 2015](https://arxiv.org/pdf/1412.2306)).

|Split|Samples|Average Caption Length (Words)|
|:-----------:|:-----:|:--------:|
|Train|6,000|10.7 ± 3.8|
|Validation|1,000|10.8 ± 3.9|
|Test|1,000|10.7 ± 3.8|
|Total|8,000|10.7 ± 3.8|


## 📋 BibTeX entry and citation info

```bibtex
@misc{bromonschenkel2024flickr8kpt,
  title        = {Flickr8K Dataset Translation for Portuguese Image Captioning},
  author       = {Bromonschenkel, Gabriel and Oliveira, Hil{\'a}rio and Paix{\~a}o, Thiago M.},
  howpublished = {\url{https://huggingface.co./datasets/laicsiifes/flickr8k-pt-br}},
  publisher    = {Hugging Face},
  year         = {2024}
}
```