annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- es
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
- 100M<n<1B
- 10K<n<100K
- 10M<n<100M
- 1M<n<10M
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: null
pretty_name: The Large Spanish Corpus
tags: []
dataset_info:
- config_name: JRC
features:
- name: text
dtype: string
splits:
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num_bytes: 380895504
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features:
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dtype: string
splits:
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features:
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features:
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- config_name: all_wikis
features:
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dtype: string
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features:
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- config_name: Europarl
features:
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dtype: string
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- config_name: NewsCommentary11
features:
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dataset_size: 23654590
- config_name: EUBookShop
features:
- name: text
dtype: string
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features:
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splits:
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- config_name: OpenSubtitles2018
features:
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features:
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dtype: string
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config_names:
- DGT
- DOGC
- ECB
- EMEA
- EUBookShop
- Europarl
- GlobalVoices
- JRC
- NewsCommentary11
- OpenSubtitles2018
- ParaCrawl
- TED
- UN
- all_wikis
- combined
- multiUN
Dataset Card for The Large Spanish Corpus
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/josecannete/spanish-corpora
- Repository: https://github.com/josecannete/spanish-corpora
- Paper:
- Data: https://doi.org/10.5281/zenodo.3247731
- Leaderboard:
- Point of Contact: José Cañete (corpus creator) or Lewis Tunstall (corpus submitter)
Dataset Summary
The Large Spanish Corpus is a compilation of 15 unlabelled Spanish corpora spanning Wikipedia to European parliament notes. Each config contains the data corresponding to a different corpus. For example, all_wiki
only includes examples from Spanish Wikipedia:
from datasets import load_dataset
all_wiki = load_dataset('large_spanish_corpus', name='all_wikis')
By default, the config is set to "combined" which loads all the corpora.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Spanish
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
The following is taken from the corpus' source repsository:
Spanish Wikis: Which include Wikipedia, Wikinews, Wikiquotes and more. These were first processed with wikiextractor (https://github.com/josecannete/wikiextractorforBERT) using the wikis dump of 20/04/2019.
ParaCrawl: Spanish portion of ParaCrawl (http://opus.nlpl.eu/ParaCrawl.php)
EUBookshop: Spanish portion of EUBookshop (http://opus.nlpl.eu/EUbookshop.php)
MultiUN: Spanish portion of MultiUN (http://opus.nlpl.eu/MultiUN.php)
OpenSubtitles: Spanish portion of OpenSubtitles2018 (http://opus.nlpl.eu/OpenSubtitles-v2018.php)
DGC: Spanish portion of DGT (http://opus.nlpl.eu/DGT.php)
DOGC: Spanish portion of DOGC (http://opus.nlpl.eu/DOGC.php)
ECB: Spanish portion of ECB (http://opus.nlpl.eu/ECB.php)
EMEA: Spanish portion of EMEA (http://opus.nlpl.eu/EMEA.php)
Europarl: Spanish portion of Europarl (http://opus.nlpl.eu/Europarl.php)
GlobalVoices: Spanish portion of GlobalVoices (http://opus.nlpl.eu/GlobalVoices.php)
JRC: Spanish portion of JRC (http://opus.nlpl.eu/JRC-Acquis.php)
News-Commentary11: Spanish portion of NCv11 (http://opus.nlpl.eu/News-Commentary-v11.php)
TED: Spanish portion of TED (http://opus.nlpl.eu/TED2013.php)
UN: Spanish portion of UN (http://opus.nlpl.eu/UN.php)
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
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @lewtun for adding this dataset.