Datasets:

Tasks:
Other
Multilinguality:
monolingual
Size Categories:
unknown
Annotations Creators:
machine-generated
Source Datasets:
original
License:

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YAML Metadata Error: "language[0]" must only contain lowercase characters
YAML Metadata Error: "language[0]" with value "en-EN" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

Dataset Card for frwiki_good_pages_el

Dataset Summary

It is intended to be used to train Entity Linking (EL) systems. Links in Wikipedia articles are used to detect named entities.

Languages

  • English

Dataset Structure

{
    "title": "Title of the page",
    "qid": "QID of the corresponding Wikidata entity",
    "words": ["tokens"],
    "wikipedia": ["Wikipedia description of each entity"],
    "labels": ["NER labels"],
    "titles": ["Wikipedia title of each entity"],
    "qids": ["QID of each entity"],
}

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.

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".

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