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annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- ca
license:
- cc-by-sa-4.0
- cc0-1.0
multilinguality:
- monolingual
pretty_name: Softcatalà website content.
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
Dataset Card for Softcatala-Web-Texts-Dataset
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://www.softcatala.org/
- Repository: https://github.com/Softcatala/softcatala-web-dataset
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This repository contains Softcatala website content (articles and programs descriptions).
Dataset size:
- articles.json contains 623 articles with 373233 words.
- programes.json contains 330 program descriptions with 49868 words.
The license of the data is Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) or Universal Public Domain Dedication (CC0 1.0)
Supported Tasks and Leaderboards
This dataset can be used for Catalan language modeling, text generation experiments, document classification experiments, search, and content analysis. It is not associated with a public leaderboard.
Languages
Catalan (ca).
Dataset Structure
Data Instances
Each instance is a JSON object representing either a Softcatala website article or a software/program description.
Data Fields
JSON (name/value pairs) format with the following fields:
content: article body or program description.date: publication or update date.id: source content identifier.title: article or program title.
Data Splits
One file for the descriptions text and one for the articles text.
Dataset Creation
Curation Rationale
The dataset exposes Softcatala website content as reusable Catalan text for language technology experiments and analysis.
Source Data
Initial Data Collection and Normalization
The data was exported from the Softcatala WordPress administration interface. Raw exports are filtered to remove sensitive data and converted to JSON using the processing scripts in the source repository.
Who are the source language producers?
Softcatalà community.
Annotations
Annotation process
No additional linguistic annotation is added.
Who are the annotators?
Not applicable.
Personal and Sensitive Information
The source repository documents a filtering step for sensitive data before JSON generation. The resulting articles and descriptions may still contain public names, URLs, organizations, or references that appear in published Softcatala website content.
Considerations for Using the Data
Social Impact of Dataset
The dataset supports Catalan language technology by providing reusable website text from a Catalan-language technology community.
Discussion of Biases
The dataset is biased toward Softcatala's areas of activity: free software, localization, language technology, digital rights, software descriptions, and Catalan technology news.
Other Known Limitations
The corpus is relatively small and domain-specific. It should not be treated as a representative sample of general Catalan web text.
Additional Information
Dataset Curators
Licensing Information
Citation Information
If you use this dataset, cite the dataset repository:
Softcatala/Softcatala-Web-Texts-Dataset and https://github.com/Softcatala/softcatala-web-dataset.
Contributions
Softcatala and Jordi Mas.