Datasets:
Formats:
parquet
Size:
10K - 100K
dataset_info: | |
features: | |
- name: id | |
dtype: int64 | |
- name: source_text | |
dtype: string | |
- name: target_text | |
dtype: string | |
- name: proficiency | |
dtype: int64 | |
- name: source_language_name | |
dtype: string | |
- name: source_language_code | |
dtype: string | |
- name: target_language_name | |
dtype: string | |
- name: target_language_code | |
dtype: string | |
- name: created_at | |
dtype: string | |
- name: created_by | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 5130209 | |
num_examples: 12346 | |
download_size: 2947702 | |
dataset_size: 5130209 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
language: | |
- ban | |
- min | |
- ace | |
- bug | |
- bjn | |
- jv | |
- su | |
- nij | |
- sas | |
- mad | |
pretty_name: Indonesiaku Contributions | |
size_categories: | |
- 1M<n<10M | |
# Indonesiaku Contributions Dataset | |
## Dataset Description | |
The **Indonesiaku Contributions** dataset contains user-submitted translations collected via the [Indonesiaku platform](http://indonesiaku.com/data). 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](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: | |
```python | |
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](http://indonesiaku.com/data), 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](https://opensource.org/licenses/MIT). | |
## 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](https://supabase.com) for database hosting and [Hugging Face](https://huggingface.co) for dataset hosting. | |
## Contact | |
For questions or contributions, visit [http://indonesiaku.com/data](http://indonesiaku.com/data) or contact the dataset maintainer at [insert contact info if desired]. |