williamhtan/indonesiaku-contrib

Indonesiaku Contributions Dataset

Dataset Description

The Indonesiaku Contributions dataset contains user-submitted translations collected via the Indonesiaku platform. It aims to support language learning, translation research, and the development of multilingual models by providing a diverse set of source-target text pairs across various languages, enriched with metadata such as proficiency levels and contributor information.

This dataset is sourced from the Indonesiaku translation database, where users contribute translations as part of a collaborative effort to preserve and share linguistic knowledge. For more details on the platform, visit http://indonesiaku.com/data.

Key Features

• Multilingual: Includes translations between multiple language pairs.
• Crowdsourced: Contributions from a community of language learners and native speakers.
• Rich Metadata: Contains proficiency ratings, language codes, and contributor usernames.

Dataset Structure

The dataset is provided as a single split (train) in CSV format with the following columns:

Column	Description	Type
id	Unique identifier for the translation	Integer
source_text	Original text in the source language	String
target_text	Translated text in the target language	String
proficiency	Contributor’s proficiency level (0-3)	Integer
source_language_name	Name of the source language	String
source_language_code	ISO code of the source language	String
target_language_name	Name of the target language	String
target_language_code	ISO code of the target language	String
created_at	Timestamp of translation submission	String
created_by	Username of the contributor (nullable)	String

• Proficiency Levels:
  • 0: Not Proficient
  • 1: Elementary
  • 2: Limited Working
  • 3: Native/Bilingual

Usage

Loading the Dataset

You can load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("williamhtan/indonesiaku-contrib")
print(dataset["train"][0])  # Access the first row

Example Applications

• Machine Translation: Train or fine-tune translation models.
• Language Learning: Analyze proficiency impacts on translation quality.
• Linguistic Research: Study language pair distributions and translation patterns.

Data Collection

The data is collected from the Indonesiaku translation database, where users submit translations as part of an open contribution process. The dataset is periodically updated to reflect new contributions. This version (1.0.0) was exported on [insert date, e.g., February 23, 2025].

Licensing

This dataset is released under the MIT License.

Citation

If you use this dataset in your research or projects, please cite it as:

@dataset{williamhtan_indonesiaku_contrib,
  author = {William Tan and Indonesiaku Contributors},
  title = {Indonesiaku Contributions Dataset},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/williamhtan/indonesiaku-contrib}
}

Acknowledgments

• Thanks to the Indonesiaku community for their contributions.
• Built with support from Supabase for database hosting and Hugging Face for dataset hosting.

Contact

For questions or contributions, visit http://indonesiaku.com/data or contact the dataset maintainer at [insert contact info if desired].