Datasets:
spanish_billion_words

	---
	annotations_creators:
	- no-annotation
	language_creators:
	- expert-generated
	language:
	- es
	license:
	- cc-by-sa-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 10M<n<100M
	source_datasets:
	- original
	task_categories:
	- other
	- text-generation
	- fill-mask
	task_ids:
	- language-modeling
	- masked-language-modeling
	paperswithcode_id: sbwce
	pretty_name: Spanish Billion Word Corpus and Embeddings
	dataset_info:
	features:
	- name: text
	dtype: string
	config_name: corpus
	splits:
	- name: train
	num_bytes: 8950895954
	num_examples: 46925295
	download_size: 2024166993
	dataset_size: 8950895954
	---

	# Dataset Card for Spanish Billion Words

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Spanish Billion Words homepage](https://crscardellino.github.io/SBWCE/)
	- Point of Contact: [Cristian Cardellino](mailto:ccardellino@unc.edu.ar) (Corpus Creator), [María Grandury](mailto:mariagrandury@gmail.com) (Corpus Submitter)

	### Dataset Summary

	The Spanish Billion Words Corpus is an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web.
	This resources include the spanish portions of SenSem, the Ancora Corpus, some OPUS Project Corpora and the Europarl,
	the Tibidabo Treebank, the IULA Spanish LSP Treebank, and dumps from the Spanish Wikipedia, Wikisource and Wikibooks.

	This corpus is a compilation of 100 text files. Each line of these files represents one of the 50 million sentences from the corpus.

	### Supported Tasks and Leaderboards

	This dataset can be used for language modelling and for pretraining language models.

	### Languages

	The text in this dataset is in Spanish, BCP-47 code: 'es'.

	## Dataset Structure

	### Data Instances

	Each example in this dataset is a sentence in Spanish:
	```
	{'text': 'Yo me coloqué en un asiento próximo a una ventana cogí un libro de una mesa y empecé a leer'}
	```

	### Data Fields

	- `text`: a sentence in Spanish

	### Data Splits

	The dataset is not split.

	## Dataset Creation

	### Curation Rationale

	The Spanish Billion Words Corpus was created to train word embeddings using the word2vect algorithm provided by the gensim package.

	### Source Data

	#### Initial Data Collection and Normalization

	The corpus was created compiling the following resources:

	- The Spanish portion of [SenSem]().
	- The Spanish portion of the [Ancora Corpus](http://clic.ub.edu/corpus/en).
	- [Tibidabo Treebank and IULA Spanish LSP Treebank](http://lod.iula.upf.edu/resources/metadata_TRL_Tibidabo_LSP_treebank_ES).
	- The Spanish portion of the following [OPUS Project](http://opus.nlpl.eu/index.php) Corpora:
	- The [books](http://opus.nlpl.eu/Books.php) aligned by [Andras Farkas](https://farkastranslations.com/).
	- The [JRC-Acquis](http://opus.nlpl.eu/JRC-Acquis.php) collection of legislative text of the European Union.
	- The [News Commentary](http://opus.nlpl.eu/News-Commentary.php) corpus.
	- The [United Nations](http://opus.nlpl.eu/UN.php) documents compiled by [Alexandre Rafalovitch](https://www.outerthoughts.com/) and [Robert Dale](http://web.science.mq.edu.au/~rdale/).
	- The Spanish portion of the [Europarl](http://statmt.org/europarl/) (European Parliament), compiled by [Philipp Koehn](https://homepages.inf.ed.ac.uk/pkoehn/).
	- Dumps from the Spanish [Wikipedia](https://es.wikipedia.org/wiki/Wikipedia:Portada), [Wikisource](https://es.wikisource.org/wiki/Portada) and [Wikibooks](https://es.wikibooks.org/wiki/Portada) on date 2015-09-01, parsed with the Wikipedia Extractor.

	All the annotated corpora (like Ancora, SenSem and Tibidabo) were untagged and
	the parallel corpora (most coming from the OPUS Project) was preprocessed to obtain only the Spanish portions of it.

	Once the whole corpus was unannotated, all non-alphanumeric characters were replaced with whitespaces,
	all numbers with the token “DIGITO” and all the multiple whitespaces with only one whitespace.

	The capitalization of the words remained unchanged.

	#### Who are the source language producers?

	The data was compiled and processed by Cristian Cardellino.

	### Annotations

	The dataset is unannotated.

	#### Annotation process

	[N/A]

	#### Who are the annotators?

	[N/A]

	### 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

	The data was collected and processed by Cristian Cardellino.

	### Licensing Information

	The dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International license
	[(CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/)

	### Citation Information
	```
	@misc{cardellinoSBWCE,
	author = {Cardellino, Cristian},
	title = {Spanish {B}illion {W}ords {C}orpus and {E}mbeddings},
	url = {https://crscardellino.github.io/SBWCE/},
	month = {August},
	year = {2019}
	}
	```
	### Contributions

	Thanks to [@mariagrandury](https://github.com/mariagrandury) for adding this dataset.