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simple dataset card

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+ ---
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+ annotations_creators:
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+ - machine-generated
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+ language_creators: []
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+ languages:
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+ - fr-FR
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+ licenses:
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+ - wtfpl
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+ multilinguality:
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+ - monolingual
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+ pretty_name: test
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+ size_categories:
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+ - unknown
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - other
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+ task_ids: []
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+ ---
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+
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+ # Dataset Card for frwiki_good_pages_el
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+
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+ ## Dataset Description
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+
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+ - Repository: [frwiki_good_pages_el](https://github.com/GaaH/frwiki_good_pages_el)
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+ - Point of Contact: [Gaëtan Caillaut](mailto://[email protected])
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+
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+ ### Dataset Summary
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+
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+ This dataset contains _featured_ and _good_ articles from the French Wikipédia. Pages are downloaded, as HTML files, from the [French Wikipedia website](https://fr.wikipedia.org).
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+
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+ It is intended to be used to train Entity Linking (EL) systems. Links in articles are used to detect named entities.
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+
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+ ### Languages
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+
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+ - French
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+
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+ ## Dataset Structure
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+
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+ ```
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+ {
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+ "title": "Title of the page",
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+ "qid": "QID of the corresponding Wikidata entity",
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+ "text": {
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+ "words": ["tokens"],
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+ "wikipedia": ["Wikipedia description of each entity"],
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+ "wikidata": ["Wikidata description of each entity"],
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+ "labels": ["NER labels"],
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+ "titles": ["Wikipedia title of each entity"],
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+ "qids": ["QID of each entity"],
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+ }
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+ }
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+ ```
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+
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+ The `words` field contains the article’s text splitted on white-spaces. The other fields are list with same length as `words` and contains data only when the respective token in `words` is the __start of an entity__. For instance, if the _i-th_ token in `words` is an entity, then the _i-th_ element of `wikipedia` contains a description, extracted from Wikipedia, of this entity. The same applies for the other fields. If the entity spans multiple words, then only the index of the first words contains data.
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+
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+ The only exception is the `labels` field, which is used to delimit entities. It uses the IOB encoding: if the token is not part of an entity, the label is `"O"`; if it is the first word of a multi-word entity, the label is `"B"`; otherwise the label is `"I"`.