|
--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- expert-generated |
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language: |
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- es |
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license: |
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- cc-by-sa-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10M<n<100M |
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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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- text-generation |
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- fill-mask |
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task_ids: |
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- language-modeling |
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- masked-language-modeling |
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paperswithcode_id: sbwce |
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pretty_name: Spanish Billion Word Corpus and Embeddings |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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config_name: corpus |
|
splits: |
|
- name: train |
|
num_bytes: 8950895954 |
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num_examples: 46925295 |
|
download_size: 2024166993 |
|
dataset_size: 8950895954 |
|
--- |
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|
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# Dataset Card for Spanish Billion Words |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [Spanish Billion Words homepage](https://crscardellino.github.io/SBWCE/) |
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- **Point of Contact:** [Cristian Cardellino](mailto:[email protected]) (Corpus Creator), [María Grandury](mailto:[email protected]) (Corpus Submitter) |
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### Dataset Summary |
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The Spanish Billion Words Corpus is an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web. |
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This resources include the spanish portions of SenSem, the Ancora Corpus, some OPUS Project Corpora and the Europarl, |
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the Tibidabo Treebank, the IULA Spanish LSP Treebank, and dumps from the Spanish Wikipedia, Wikisource and Wikibooks. |
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This corpus is a compilation of 100 text files. Each line of these files represents one of the 50 million sentences from the corpus. |
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### Supported Tasks and Leaderboards |
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This dataset can be used for language modelling and for pretraining language models. |
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### Languages |
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The text in this dataset is in Spanish, BCP-47 code: 'es'. |
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## Dataset Structure |
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### Data Instances |
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Each example in this dataset is a sentence in Spanish: |
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``` |
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{'text': 'Yo me coloqué en un asiento próximo a una ventana cogí un libro de una mesa y empecé a leer'} |
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``` |
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### Data Fields |
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- `text`: a sentence in Spanish |
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### Data Splits |
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The dataset is not split. |
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## Dataset Creation |
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### Curation Rationale |
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The Spanish Billion Words Corpus was created to train word embeddings using the word2vect algorithm provided by the gensim package. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The corpus was created compiling the following resources: |
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- The Spanish portion of [SenSem](). |
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- The Spanish portion of the [Ancora Corpus](http://clic.ub.edu/corpus/en). |
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- [Tibidabo Treebank and IULA Spanish LSP Treebank](http://lod.iula.upf.edu/resources/metadata_TRL_Tibidabo_LSP_treebank_ES). |
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- The Spanish portion of the following [OPUS Project](http://opus.nlpl.eu/index.php) Corpora: |
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- The [books](http://opus.nlpl.eu/Books.php) aligned by [Andras Farkas](https://farkastranslations.com/). |
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- The [JRC-Acquis](http://opus.nlpl.eu/JRC-Acquis.php) collection of legislative text of the European Union. |
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- The [News Commentary](http://opus.nlpl.eu/News-Commentary.php) corpus. |
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- 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/). |
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- The Spanish portion of the [Europarl](http://statmt.org/europarl/) (European Parliament), compiled by [Philipp Koehn](https://homepages.inf.ed.ac.uk/pkoehn/). |
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- 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. |
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All the annotated corpora (like Ancora, SenSem and Tibidabo) were untagged and |
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the parallel corpora (most coming from the OPUS Project) was preprocessed to obtain only the Spanish portions of it. |
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Once the whole corpus was unannotated, all non-alphanumeric characters were replaced with whitespaces, |
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all numbers with the token “DIGITO” and all the multiple whitespaces with only one whitespace. |
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The capitalization of the words remained unchanged. |
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#### Who are the source language producers? |
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The data was compiled and processed by Cristian Cardellino. |
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### Annotations |
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The dataset is unannotated. |
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#### Annotation process |
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[N/A] |
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#### Who are the annotators? |
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[N/A] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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The data was collected and processed by Cristian Cardellino. |
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### Licensing Information |
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The dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International license |
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[(CC BY-SA 4.0)](https://creativecommons.org/licenses/by-sa/4.0/) |
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### Citation Information |
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``` |
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@misc{cardellinoSBWCE, |
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author = {Cardellino, Cristian}, |
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title = {Spanish {B}illion {W}ords {C}orpus and {E}mbeddings}, |
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url = {https://crscardellino.github.io/SBWCE/}, |
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month = {August}, |
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year = {2019} |
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} |
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``` |
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### Contributions |
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|
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Thanks to [@mariagrandury](https://github.com/mariagrandury) for adding this dataset. |
