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Datasets:
wikicorpus

Tasks:
Fill-Mask
Text Classification
Text Generation
Sub-tasks:
language-modeling
masked-language-modeling
part-of-speech
Languages:
Catalan
English
Spanish
Multilinguality:
monolingual
Size Categories:
100K<n<1M
10M<n<100M
1M<n<10M
Language Creators:
found
Annotations Creators:
machine-generated
no-annotation
Source Datasets:
original
Tags:
word-sense-disambiguation
lemmatization
License:
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metadata
pretty_name: Wikicorpus
annotations_creators:
  - machine-generated
  - no-annotation
language_creators:
  - found
language:
  - ca
  - en
  - es
license:
  - gfdl
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
  - 10M<n<100M
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - fill-mask
  - text-classification
  - text-generation
  - token-classification
task_ids:
  - language-modeling
  - masked-language-modeling
  - part-of-speech
paperswithcode_id: null
configs:
  - raw_ca
  - raw_en
  - raw_es
  - tagged_ca
  - tagged_en
  - tagged_es
tags:
  - word-sense-disambiguation
  - lemmatization
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        dtype: string
      - name: title
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      - name: text
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      - name: id
        dtype: string
      - name: title
        dtype: string
      - name: sentence
        sequence: string
      - name: lemmas
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      - name: pos_tags
        sequence: string
      - name: wordnet_senses
        sequence: string
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        dtype: string
      - name: title
        dtype: string
      - name: sentence
        sequence: string
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      - name: wordnet_senses
        sequence: string
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        dtype: string
      - name: title
        dtype: string
      - name: sentence
        sequence: string
      - name: lemmas
        sequence: string
      - name: pos_tags
        sequence: string
      - name: wordnet_senses
        sequence: string
    splits:
      - name: train
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        num_examples: 26350272
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    dataset_size: 18077275300

Dataset Card for Wikicorpus

Table of Contents

Dataset Description

Dataset Summary

The Wikicorpus is a trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia (based on a 2006 dump) and has been automatically enriched with linguistic information. In its present version, it contains over 750 million words.

The corpora have been annotated with lemma and part of speech information using the open source library FreeLing. Also, they have been sense annotated with the state of the art Word Sense Disambiguation algorithm UKB. As UKB assigns WordNet senses, and WordNet has been aligned across languages via the InterLingual Index, this sort of annotation opens the way to massive explorations in lexical semantics that were not possible before.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Each sub-dataset is monolingual in the languages:

  • ca: Catalan
  • en: English
  • es: Spanish

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

The WikiCorpus is licensed under the same license as Wikipedia, that is, the GNU Free Documentation License

Citation Information 

@inproceedings{reese-etal-2010-wikicorpus,
    title = "{W}ikicorpus: A Word-Sense Disambiguated Multilingual {W}ikipedia Corpus",
    author = "Reese, Samuel  and
      Boleda, Gemma  and
      Cuadros, Montse  and
      Padr{\'o}, Llu{\'i}s  and
      Rigau, German",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/222_Paper.pdf",
    abstract = "This article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia and has been automatically enriched with linguistic information. To our knowledge, this is the largest such corpus that is freely available to the community: In its present version, it contains over 750 million words. The corpora have been annotated with lemma and part of speech information using the open source library FreeLing. Also, they have been sense annotated with the state of the art Word Sense Disambiguation algorithm UKB. As UKB assigns WordNet senses, and WordNet has been aligned across languages via the InterLingual Index, this sort of annotation opens the way to massive explorations in lexical semantics that were not possible before. We present a first attempt at creating a trilingual lexical resource from the sense-tagged Wikipedia corpora, namely, WikiNet. Moreover, we present two by-products of the project that are of use for the NLP community: An open source Java-based parser for Wikipedia pages developed for the construction of the corpus, and the integration of the WSD algorithm UKB in FreeLing.",
}

Contributions

Thanks to @albertvillanova for adding this dataset.