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---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- ca
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
paperswithcode_id: cawac
pretty_name: caWaC
dataset_info:
features:
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 3987228544
num_examples: 24745986
download_size: 2835862485
dataset_size: 3987228544
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for caWaC
## 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:** http://nlp.ffzg.hr/resources/corpora/cawac/
- **Repository:** http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz
- **Paper:** http://www.lrec-conf.org/proceedings/lrec2014/pdf/841_Paper.pdf
- **Leaderboard:**
- **Point of Contact:** [Nikola Ljubešič](mailto:[email protected])
### Dataset Summary
caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013.
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
Dataset is monolingual in Catalan language.
## 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
Dataset is under the [CC-BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) license.
### Citation Information
```
@inproceedings{DBLP:conf/lrec/LjubesicT14,
author = {Nikola Ljubesic and
Antonio Toral},
editor = {Nicoletta Calzolari and
Khalid Choukri and
Thierry Declerck and
Hrafn Loftsson and
Bente Maegaard and
Joseph Mariani and
Asunci{\'{o}}n Moreno and
Jan Odijk and
Stelios Piperidis},
title = {caWaC - {A} web corpus of Catalan and its application to language
modeling and machine translation},
booktitle = {Proceedings of the Ninth International Conference on Language Resources
and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014},
pages = {1728--1732},
publisher = {European Language Resources Association {(ELRA)}},
year = {2014},
url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html},
timestamp = {Mon, 19 Aug 2019 15:23:35 +0200},
biburl = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
### Contributions
Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset. |