Languages: en id
Multilinguality: translation
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: original

Dataset Card for [Dataset Name]

Dataset Summary

Parallel Text Corpora for Multi-Domain Translation System created by BPPT (Indonesian Agency for the Assessment and Application of Technology) for PAN Localization Project (A Regional Initiative to Develop Local Language Computing Capacity in Asia). The dataset contains around 24K sentences divided in 4 difference topics (Economic, international, Science and Technology and Sport).

Supported Tasks and Leaderboards

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Dataset Structure

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Data Instances

An example of the dataset:

  'id': '0',
  'topic': 0,
      'en': 'Minister of Finance Sri Mulyani Indrawati said that a sharp correction of the composite
inde x by up to 4 pct in Wedenesday?s trading was a mere temporary effect of regional factors like
decline in plantation commodity prices and the financial crisis in Thailand.',
      'id': 'Menteri Keuangan Sri Mulyani mengatakan koreksi tajam pada Indeks Harga Saham Gabungan
IHSG hingga sekitar 4 persen dalam perdagangan Rabu 10/1 hanya efek sesaat dari faktor-faktor regional
seperti penurunan harga komoditi perkebunan dan krisis finansial di Thailand.'

Data Fields

  • id: id of the sample
  • translation: the parallel sentence english-indonesian
  • topic: the topic of the sentence. It could be one of the following:
    • Economic
    • International
    • Science and Technology
    • Sport

Data Splits

The dataset is splitted in to train, validation and test sets.

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Thanks to @cahya-wirawan for adding this dataset.

Models trained or fine-tuned on id_panl_bppt

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