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Duplicate from severo/danish-wit
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- README.md +158 -0
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README.md
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---
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pretty_name: Danish WIT
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language:
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- da
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license:
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- cc-by-sa-4.0
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size_categories:
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- 100K<n<1M
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source_datasets:
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- wikimedia/wit_base
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task_categories:
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- image-to-text
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- zero-shot-image-classification
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- feature-extraction
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task_ids:
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- image-captioning
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---
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# Dataset Card for Danish WIT
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## Dataset Description
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- **Repository:** <https://gist.github.com/saattrupdan/bb6c9c52d9f4b35258db2b2456d31224>
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- **Point of Contact:** [Dan Saattrup Nielsen](mailto:[email protected])
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- **Size of downloaded dataset files:** 7.5 GB
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- **Size of the generated dataset:** 7.8 GB
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- **Total amount of disk used:** 15.3 GB
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### Dataset Summary
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Google presented the Wikipedia Image Text (WIT) dataset in [July
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2021](https://dl.acm.org/doi/abs/10.1145/3404835.3463257), a dataset which contains
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scraped images from Wikipedia along with their descriptions. WikiMedia released
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WIT-Base in [September
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2021](https://techblog.wikimedia.org/2021/09/09/the-wikipedia-image-caption-matching-challenge-and-a-huge-release-of-image-data-for-research/),
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being a modified version of WIT where they have removed the images with empty
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"reference descriptions", as well as removing images where a person's face covers more
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than 10% of the image surface, along with inappropriate images that are candidate for
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deletion. This dataset is the Danish portion of the WIT-Base dataset, consisting of
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roughly 160,000 images with associated Danish descriptions. We release the dataset
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under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/), in
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accordance with WIT-Base's [identical
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license](https://huggingface.co/datasets/wikimedia/wit_base#licensing-information).
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### Supported Tasks and Leaderboards
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Training machine learning models for caption generation, zero-shot image classification
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and text-image search are the intended tasks for this dataset. No leaderboard is active
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at this point.
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### Languages
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The dataset is available in Danish (`da`).
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## Dataset Structure
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### Data Instances
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- **Size of downloaded dataset files:** 7.5 GB
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- **Size of the generated dataset:** 7.8 GB
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- **Total amount of disk used:** 15.3 GB
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An example from the `train` split looks as follows.
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```
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{
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"image": {
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"bytes": b"\xff\xd8\xff\xe0\x00\x10JFIF...",
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"path": None
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},
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"image_url": "https://upload.wikimedia.org/wikipedia/commons/4/45/Bispen_-_inside.jpg",
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"embedding": [2.8568285, 2.9562542, 0.33794892, 8.753725, ...],
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"metadata_url": "http://commons.wikimedia.org/wiki/File:Bispen_-_inside.jpg",
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"original_height": 3161,
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"original_width": 2316,
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"mime_type": "image/jpeg",
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"caption_attribution_description": "Kulturhuset Bispen set indefra. Biblioteket er til venstre",
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"page_url": "https://da.wikipedia.org/wiki/Bispen",
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"attribution_passes_lang_id": True,
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"caption_alt_text_description": None,
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"caption_reference_description": "Bispen set indefra fra 1. sal, hvor ....",
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"caption_title_and_reference_description": "Bispen [SEP] Bispen set indefra ...",
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"context_page_description": "Bispen er navnet på det offentlige kulturhus i ...",
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"context_section_description": "Bispen er navnet på det offentlige kulturhus i ...",
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"hierarchical_section_title": "Bispen",
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"is_main_image": True,
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"page_changed_recently": True,
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"page_title": "Bispen",
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"section_title": None
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}
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```
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### Data Fields
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The data fields are the same among all splits.
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- `image`: a `dict` feature.
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- `image_url`: a `str` feature.
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- `embedding`: a `list` feature.
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- `metadata_url`: a `str` feature.
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- `original_height`: an `int` or `NaN` feature.
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- `original_width`: an `int` or `NaN` feature.
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- `mime_type`: a `str` or `None` feature.
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- `caption_attribution_description`: a `str` or `None` feature.
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- `page_url`: a `str` feature.
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- `attribution_passes_lang_id`: a `bool` or `None` feature.
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- `caption_alt_text_description`: a `str` or `None` feature.
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- `caption_reference_description`: a `str` or `None` feature.
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- `caption_title_and_reference_description`: a `str` or `None` feature.
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- `context_page_description`: a `str` or `None` feature.
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- `context_section_description`: a `str` or `None` feature.
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- `hierarchical_section_title`: a `str` feature.
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- `is_main_image`: a `bool` or `None` feature.
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- `page_changed_recently`: a `bool` or `None` feature.
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- `page_title`: a `str` feature.
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- `section_title`: a `str` or `None` feature.
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### Data Splits
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Roughly 2.60% of the WIT-Base dataset comes from the Danish Wikipedia. We have split
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the resulting 168,740 samples into a training set, validation set and testing set of
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the following sizes:
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| split | samples |
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|---------|--------:|
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| train | 167,460 |
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| val | 256 |
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| test | 1,024 |
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## Dataset Creation
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### Curation Rationale
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It is quite cumbersome to extract the Danish portion of the WIT-Base dataset,
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especially as the dataset takes up 333 GB of disk space, so the curation of Danish-WIT
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is purely to make it easier to work with the Danish portion of it.
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### Source Data
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The original data was collected from WikiMedia's
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[WIT-Base](https://huggingface.co/datasets/wikimedia/wit_base) dataset, which in turn
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comes from Google's [WIT](https://huggingface.co/datasets/google/wit) dataset.
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## Additional Information
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### Dataset Curators
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[Dan Saattrup Nielsen](https://saattrupdan.github.io/) from the [The Alexandra
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Institute](https://alexandra.dk/) curated this dataset.
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### Licensing Information
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The dataset is licensed under the [CC BY-SA 4.0
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license](https://creativecommons.org/licenses/by-sa/4.0/).
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