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 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

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).

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

@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}
}