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---
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
pretty_name: Nordjylland News - Image caption dataset
size_categories:
- 10K<n<100K
license: apache-2.0
task_categories:
- image-to-text
- zero-shot-image-classification
- feature-extraction
task_ids:
- image-captioning
---
# Dataset Card for "nordjylland-news-image-captioning"
## Dataset Description
- **Point of Contact:** [Oliver Kinch](mailto:oliver.kinch@alexandra.dk)
- **Size of dataset:** 11 GB
### Dataset Summary
This dataset is a collection of image-caption pairs from the Danish newspaper [TV2 Nord](https://www.tv2nord.dk/).
### 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 \\(h \\) and width \\(w \\) is approximately given as
\\( x = \text{int}({{\sqrt{h \cdot w}})} \\).
Plotting the distribution of \\( x \\) gives an insight into the sizes of the images in the dataset.
#### Caption Length Distribution
## 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](https://developer.bazo.dk/#876ab6f9-e057-43e3-897a-1563de34397e).
## Additional Information
### Dataset Curators
[Oliver Kinch](https://huggingface.co/oliverkinch) from the [The Alexandra
Institute](https://alexandra.dk/)
### Licensing Information
The dataset is licensed under the [CC0
license](https://creativecommons.org/share-your-work/public-domain/cc0/). |