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README.md

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

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