Task Categories: sequence-modeling
Languages: id
Multilinguality: monolingual
Size Categories: 100K<n<1M
Licenses: cc-by-4.0
Language Creators: found
Annotations Creators: no-annotation
Source Datasets: original

Dataset Card for Indonesian Newspapers 2018

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

Supported Tasks and Leaderboards

[More Information Needed]



Dataset Structure

  'id': 'string',
  'url': 'string',
  'date': 'string',
  'title': 'string',
  'content': 'string'

Data Instances

[More Information Needed]

Data Fields

  • id: id of the sample
  • url: the url to the original article
  • date: the publishing date of the article
  • title: the title of the article
  • content: 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]


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

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Licensing Information

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Citation Information

[More Information Needed]


Thanks to @cahya-wirawan for adding this dataset.

Models trained or fine-tuned on id_newspapers_2018