PLTAT/alpaca_kapampangan
π΅π Kapampangan Alpaca Dataset Dataset Summary This dataset is a Kapampangan translation of the original Alpaca instruction-following dataset. It is designed to support research and development of instruction-tuned language models for low-resource Philippine languages, particularly Kapampangan. The dataset retains the original Alpaca structure while providing high-quality translations of instructions, inputs, and outputs. Dataset Structureβ¦ See the full description on the dataset page: https://huggingface.co/datasets/PLTAT/alpaca_kapampangan.
π΅π Kapampangan Alpaca Dataset
Dataset Description
- Point of Contact: welyjesch@gmail.com
- Primary Language: Kapampangan
- Source Language: English
Dataset Summary
This dataset is a Kapampangan translation of the original Alpaca instruction-following dataset. It is designed to support research and development of instruction-tuned language models for low-resource Philippine languages, particularly Kapampangan.
The dataset retains the original Alpaca structure while providing high-quality translations of instructions, inputs, and outputs.
Dataset Structure
Data Instances
Each example follows this JSON format:
{
"instruction": "Kapampangan instruction text",
"input": "Optional context in Kapampangan",
"output": "Expected response in Kapampangan"
}Data Fields
instruction: The task or question in Kapampangan.input: Additional context (may be empty).output: The correct expected response in Kapampangan.
Data Splits
Dataset Creation
Source Data
Based on the original Alpaca dataset, which was generated using instruction-following data derived from OpenAI models.
Translation Process
Translated from English to Kapampangan using:
- Machine translation + human post-editing (or specify your actual method)
- Native speaker validation (if applicable)
Use Cases
This dataset can be used for:
- Instruction tuning of LLMs in Kapampangan
- Multilingual NLP research
- Low-resource language modeling
- Chatbot and assistant development for Kapampangan speakers
Limitations
- May contain translation artifacts or unnatural phrasing.
- Cultural nuances might not always be preserved.
- Not all instructions may perfectly align with Kapampangan linguistic norms.
- Quality depends on the exact translation method used.
Ethical Considerations
Ensure responsible use when deploying models trained on this dataset. Be mindful of:
- Bias inherited from the original Alpaca dataset.
- Potential mistranslations or harmful outputs.
- Not intended for high-stakes applications without further validation.
Licensing
The original Alpaca dataset license applies. License: CC BY-NC 4.0 (Note: Datasets generated from OpenAI models are generally restricted from commercial use competing with OpenAI).
Citation
If you use this dataset, please cite:
@dataset{kapampangan_alpaca,
title = {Kapampangan Alpaca Dataset},
author = {Wely Jesch Sabalilag},
year = {2026},
note = {Translated version of the Alpaca dataset}
}Acknowledgements
- OriginalAlpaca dataset creators (Stanford CRFM).
- Contributors and translators for Kapampangan.
Contact
For questions or contributions:
- Name: Wely Jesch Sabalilag
- Email:welyjesch@gmail.com
- GitHub:github.com/welyjesch
