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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: caption
      dtype: string
  splits:
    - name: train
      num_bytes: 10341164216.808
      num_examples: 11707
  download_size: 11002607252
  dataset_size: 10341164216.808
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - da
tags:
  - Image captioning
pretty_name: Nordjylland News - Image caption dataset
size_categories:
  - 10K<n<100K

Dataset Card for "nordjylland-news-image-captioning"

Dataset Description

Dataset Summary

This dataset is a collection of image-caption pairs from the Danish newspaper TV2 Nord.

Supported Tasks and Leaderboards

Image captioning is the intended task for this dataset. No leaderboard is active at this point.

Languages

The dataset is available in Danish (da).

Dataset Structure

An example from the dataset looks as follows.

{
  "file_name": "1.jpg",
  "caption": "Bruno Sørensen og Poul Erik Pedersen er ofte at finde i Fyensgade Centret."
}

Data Fields

  • file_name: a string giving the file name of the image.
  • caption: a string feature.

Dataset Statistics

Number of samples

11707

Image sizes

All images in the dataset are in RGB format, but they exhibit varying resolutions:

  • Width ranges from 73 to 11,830 pixels.

  • Height ranges from 38 to 8,268 pixels.

The side length of a square image with the same number of pixels as an image with height hh and width ww is approximately given as x=int(hw) x = \text{int}({{\sqrt{h \cdot w}})} .

Plotting the distribution of x x gives an insight into the sizes of the images in the dataset.

image_size_distribution

Caption Length Distribution

caption_length_distribution.png

Potential Dataset Issues

  • There are 14 images with the caption "Arkivfoto".

  • There are 37 images with captions consisting solely of a source reference, such as "Kilde: <name of source>".

You might want to consider excluding these samples from the model training process.

Dataset Creation

Curation Rationale

There are not many large-scale image-captioning datasets in Danish.

Source Data

The dataset has been collected through the TV2 Nord API, which can be accessed here.

Additional Information

Dataset Curators

Oliver Kinch from the The Alexandra Institute

Licensing Information

The dataset is licensed under the CC0 license.