Duplicate from severo/danish-wit

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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:dan.nielsen@alexandra.dk)
+- **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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