|
--- |
|
annotations_creators: |
|
- no-annotation |
|
language_creators: |
|
- expert-generated |
|
languages: |
|
- es |
|
licenses: |
|
DGT: |
|
- mit |
|
DOGC: |
|
- mit |
|
ECB: |
|
- mit |
|
EMEA: |
|
- mit |
|
EUBookShop: |
|
- mit |
|
Europarl: |
|
- mit |
|
GlobalVoices: |
|
- mit |
|
JRC: |
|
- mit |
|
NewsCommentary11: |
|
- mit |
|
OpenSubtitles2018: |
|
- mit |
|
ParaCrawl: |
|
- mit |
|
TED: |
|
- mit |
|
UN: |
|
- mit |
|
all_wikis: |
|
- mit |
|
combined: |
|
- mit |
|
multiUN: |
|
- mit |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
DGT: |
|
- n>1M |
|
DOGC: |
|
- n>1M |
|
ECB: |
|
- n>1M |
|
EMEA: |
|
- n>1M |
|
EUBookShop: |
|
- n>1M |
|
Europarl: |
|
- n>1M |
|
GlobalVoices: |
|
- 100K<n<1M |
|
JRC: |
|
- n>1M |
|
NewsCommentary11: |
|
- 100K<n<1M |
|
OpenSubtitles2018: |
|
- n>1M |
|
ParaCrawl: |
|
- n>1M |
|
TED: |
|
- 100K<n<1M |
|
UN: |
|
- 10K<n<100K |
|
all_wikis: |
|
- n>1M |
|
combined: |
|
- n>1M |
|
multiUN: |
|
- n>1M |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- other |
|
task_ids: |
|
- other-other-pretraining-language-models |
|
--- |
|
|
|
# Dataset Card for [Dataset Name] |
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|
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## Table of Contents |
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- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name) |
|
- [Table of Contents](#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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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) |
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- [Who are the source language producers?](#who-are-the-source-language-producers) |
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- [Annotations](#annotations) |
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- [Annotation process](#annotation-process) |
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- [Who are the annotators?](#who-are-the-annotators) |
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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) |
|
- [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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|
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## Dataset Description |
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|
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- **Homepage:** [https://github.com/josecannete/spanish-corpora](https://github.com/josecannete/spanish-corpora) |
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- **Repository:** [https://github.com/josecannete/spanish-corpora](https://github.com/josecannete/spanish-corpora) |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** [José Cañete](mailto:jose.canete@ug.uchile.cl) (corpus creator) or [Lewis Tunstall](mailto:lewis.c.tunstall@gmail.com) (corpus submitter) |
|
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### Dataset Summary |
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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: |
|
|
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```python |
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from datasets import load_dataset |
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all_wiki = load_dataset('large_spanish_corpus', name='all_wiki') |
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``` |
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By default, the config is set to "combined" which loads all the corpora. |
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### Supported Tasks and Leaderboards |
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|
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[More Information Needed] |
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### Languages |
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Spanish |
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## Dataset Structure |
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|
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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|
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### Data Splits |
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The following is taken from the corpus' source repsository: |
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* 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. |
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* ParaCrawl: Spanish portion of ParaCrawl (http://opus.nlpl.eu/ParaCrawl.php) |
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* EUBookshop: Spanish portion of EUBookshop (http://opus.nlpl.eu/EUbookshop.php) |
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* MultiUN: Spanish portion of MultiUN (http://opus.nlpl.eu/MultiUN.php) |
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* OpenSubtitles: Spanish portion of OpenSubtitles2018 (http://opus.nlpl.eu/OpenSubtitles-v2018.php) |
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* DGC: Spanish portion of DGT (http://opus.nlpl.eu/DGT.php) |
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* DOGC: Spanish portion of DOGC (http://opus.nlpl.eu/DOGC.php) |
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* ECB: Spanish portion of ECB (http://opus.nlpl.eu/ECB.php) |
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* EMEA: Spanish portion of EMEA (http://opus.nlpl.eu/EMEA.php) |
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* Europarl: Spanish portion of Europarl (http://opus.nlpl.eu/Europarl.php) |
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* GlobalVoices: Spanish portion of GlobalVoices (http://opus.nlpl.eu/GlobalVoices.php) |
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* JRC: Spanish portion of JRC (http://opus.nlpl.eu/JRC-Acquis.php) |
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* News-Commentary11: Spanish portion of NCv11 (http://opus.nlpl.eu/News-Commentary-v11.php) |
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* TED: Spanish portion of TED (http://opus.nlpl.eu/TED2013.php) |
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* UN: Spanish portion of UN (http://opus.nlpl.eu/UN.php) |
|
|
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## 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](https://github.com/lewtun) for adding this dataset. |
