Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- id
licenses:
- cc-by-4-0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- language-modeling
paperswithcode_id: null
Dataset Card for Indonesian Newspapers 2018
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Indonesian Newspapers
- Repository: Indonesian Newspapers
- Paper:
- Leaderboard:
- Point of Contact: feryandi.n@gmail.com, cahya.wirawan@gmail.com
Dataset Summary
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers: Detik, Kompas, Tempo, CNN Indonesia, Sindo, Republika and Poskota. The articles are dated between 1st January 2018 and 20th August 2018 (with few exceptions dated earlier). The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB, and the cleaned uncompressed in a big text file (newspapers.txt.gz) is about 1GB. The original source in Google Drive contains also a dataset in html format which include raw data (pictures, css, javascript, ...) from the online news website. A copy of the original dataset is available at https://cloud.uncool.ai/index.php/s/mfYEAgKQoY3ebbM
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Indonesian
Dataset Structure
{
'id': 'string',
'url': 'string',
'date': 'string',
'title': 'string',
'content': 'string'
}
Data Instances
[More Information Needed]
Data Fields
id
: id of the sampleurl
: the url to the original articledate
: the publishing date of the articletitle
: the title of the articlecontent
: the content of the article
Data Splits
The dataset contains train set.
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 @cahya-wirawan for adding this dataset.