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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - token-classification
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+ language:
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+ - hr
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+ tags:
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+ - wikidata
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+ - wikipedia
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+ - wikification
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+ pretty_name: WikiAnc HR
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+ size_categories:
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+ - 1M<n<10M
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+ ---
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+
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+ # Dataset Card for WikiAnc HR
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Additional Information](#additional-information)
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+ - [Licensing Information](#licensing-information)
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+
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+ ## Dataset Description
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+
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+ - **Repository:** [WikiAnc repository](https://github.com/cyanic-selkie/wikianc)
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+
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+ ### Dataset Summary
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+
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+ The WikiAnc HR datasets is an automatically generated dataset from Wikipedia (hr) and Wikidata dumps (March 1, 2023).
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+
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+ The code for generating the dataset can be found [here](https://github.com/cyanic-selkie/wikianc).
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+
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+ ### Supported Tasks
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+
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+ - `wikificiation`: The dataset can be used to train a model for Wikification.
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+
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+ ### Languages
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+
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+ The text in the dataset is in Croatian. The associated BCP-47 code is `hr`.
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+
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+ You can find the English version [here](https://huggingface.co/datasets/cyanic-selkie/wikianc-en).
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A typical data point represents a paragraph in a Wikipedia article.
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+
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+ The `paragraph_text` field contains the original text in an NFC normalized, UTF-8 encoded string.
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+
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+ The `paragraph_anchors` field contains a list of anchors, each represented by a struct with the inclusive starting UTF-8 code point `start` field, exclusive ending UTF-8 code point `end` field, a nullable `qid` field, a nullable `pageid` field, and an NFC normalized, UTF-8 encoded `title` (Wikipedia) field.
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+
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+ Additionally, each paragraph has `article_title`, `article_pageid`, and (nullable) `article_qid` fields referring to the article the paragraph came from.
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+
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+ There is also a nullable, NFC normalized, UTF-8 encoded `section_heading` field, and an integer `section_level` field referring to the heading (if it exists) of the article section, and the level in the section hierarchy that the paragraph came from.
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+
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+ The `qid` fields refers to Wikidata's QID identifiers, while the `pageid` and `title` fields refer to Wikipedia's pageID and title identifiers (there is a one-to-one mapping between pageIDs and titles).
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+
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+ **NOTE:** An anchor will always have a `title`, but that doesn't mean it has to have a `pageid`. This is because Wikipedia allows defining anchors to nonexistent articles.
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+
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+ An example from the WikiAnc HR test set looks as follows:
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+
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+ ```
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+ {
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+ "uuid": "8a9569ea-a398-4d14-8bce-76c263a8c0ac",
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+ "article_title": "Špiro_Dmitrović",
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+ "article_pageid": 70957,
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+ "article_qid": 16116278,
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+ "section_heading": null,
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+ "section_level": 0,
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+ "paragraph_text": "Špiro Dmitrović (Benkovac, 1803. – Zagreb, 6. veljače 1868.) hrvatski časnik i politički borac u doba ilirizma.",
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+ "paragraph_anchors": [
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+ {
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+ "start": 17,
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+ "end": 25,
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+ "qid": 397443,
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+ "pageid": 14426,
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+ "title": "Benkovac"
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+ },
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+ {
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+ "start": 27,
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+ "end": 32,
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+ "qid": 6887,
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+ "pageid": 1876,
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+ "title": "1803."
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+ },
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+ {
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+ "start": 35,
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+ "end": 41,
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+ "qid": 1435,
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+ "pageid": 5903,
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+ "title": "Zagreb"
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+ },
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+ {
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+ "start": 43,
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+ "end": 53,
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+ "qid": 2320,
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+ "pageid": 496,
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+ "title": "6._veljače"
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+ },
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+ {
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+ "start": 54,
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+ "end": 59,
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+ "qid": 7717,
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+ "pageid": 1811,
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+ "title": "1868."
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+ },
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+ {
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+ "start": 102,
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+ "end": 110,
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+ "qid": 680821,
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+ "pageid": 54622,
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+ "title": "Ilirizam"
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+ }
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+ ]
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `uuid`: a UTF-8 encoded string representing a v4 UUID that uniquely identifies the example
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+ - `article_title`: an NFC normalized, UTF-8 encoded Wikipedia title of the article; spaces are replaced with underscores
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+ - `article_pageid`: an integer representing the Wikipedia pageID of the article
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+ - `article_qid`: an integer representing the Wikidata QID this article refers to; it can be null if the entity didn't exist in Wikidata at the time of the creation of the original dataset
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+ - `section_heading`: a nullable, NFC normalized, UTF-8 encoded string representing the section heading
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+ - `section_level`: an integer representing the level of the section in the section hierarchy
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+ - `paragraph_text`: an NFC normalized, UTF-8 encoded string representing the paragraph
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+ - `paragraph_anchors`: a list of structs representing anchors, each anchor has:
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+ - `start`: an integer representing the inclusive starting UTF-8 code point of the anchors
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+ - `end`: an integer representing the exclusive ending UTF-8 code point of the anchor
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+ - `qid`: a nullable integer representing the Wikidata QID this anchor refers to; it can be null if the entity didn't exist in Wikidata at the time of the creation of the original dataset
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+ - `pageid`: a nullable integer representing the Wikipedia pageID of the anchor; it can be null if the article didn't exist in Wikipedia at the time of the creation of the original dataset
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+ - `title`: an NFC normalized, UTF-8 encoded string representing the Wikipedia title of the anchor; spaces are replaced with underscores; can refer to a nonexistent Wikipedia article
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+
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+ ### Data Splits
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+
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+ The data is split into training, validation and test sets; paragraphs belonging to the same article aren't necessarily in the same split. The final split sizes are as follows:
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+
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+ | | Train | Validation | Test |
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+ | :----- | :------: | :-----: | :----: |
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+ | WikiAnc HR - articles | 192,653 | 116,375 | 116,638 |
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+ | WikiAnc HR - paragraphs | 2,346,651 | 292,590 | 293,557 |
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+ | WikiAnc HR - anchors | 8,368,928 | 1,039,851 | 1,044,828 |
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+ | WikiAnc HR - anchors with QIDs | 7,160,367 | 891,959 | 896,414 |
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+ | WikiAnc HR - anchors with pageIDs | 7,179,116 | 894,313 | 898,692 |
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+
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+ **NOTE:** The number of articles in the table above refers to the number of articles that have at least one paragraph belonging to the article appear in the split.
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+
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+ ## Additional Information
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+
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+ ### Licensing Information
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+
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+ The WikiAnc HR dataset is given under the [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) license.
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