metadata

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 Translated
size_categories:
  - 1K<n<10K

🎉 Flickr8K Portuguese Translated

💾 Dataset Summary

Flickr8K Portuguese Translated consists of 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

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=500x333>,
  'caption':
  [
    'Um cachorro preto carrega um brinquedo verde na boca enquanto caminha pela grama.',
    'Um cachorro preto molhado carrega um brinquedo verde pela grama.',
    'Um cachorro preto carregando algo pela grama.',
    'Um cachorro na grama com um item azul na boca.',
    'Um cachorro preto tem um brinquedo azul na boca.'
  ],
  'filename': '1026685415.jpg'
}

🗃️ Data Fields

The data instances have the following fields:

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

✂️ Data Splits

The dataset is partitioned using the Karpathy splitting appoach for Image Captioning (Karpathy and Fei-Fei, 2015).

Split	Samples	Average Caption Length (Words)
Train	6,000	12.1 ± 5.1
Validation	1,000	12.3 ± 5.3
Test	1,000	12.2 ± 5.4
Total	8,000	12.1 ± 5.2

📋 BibTeX entry and citation info

@misc{bromonschenkel2024flickr8kpt,
  title        = "Flickr8K Portuguese Translated",
  author       = "Bromonschenkel, Gabriel and Oliveira, Hil{\'a}rio and Paix{\~a}o, Thiago M.",
  howpublished = "https://huggingface.co/datasets/laicsiifes/flickr8k-pt-br",
  year         = "2024"
}