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pythainlp/han-instruction-dataset

Han Instruction Dataset Han instruction dataset: Thai instruction dataset 🪿 Han (ห่าน or goose) Instruction Dataset is a Thai instruction dataset by PyThaiNLP. This dataset collects all Thai instruct datasets that were made by humans and our old model. The dataset can be used to train Instruction Following models like ChatGPT or others. The final dataset of han instruction dataset was released! GitHub: https://github.com/wannaphong/han-instruction-dataset Data sources:… See the full description on the dataset page: https://huggingface.co/datasets/pythainlp/han-instruction-dataset.

sourceHugging Facecc-by-sa-4.0updated 6d agoView on Hugging Face
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Dataset Card

Han Instruction Dataset

Han instruction dataset: Thai instruction dataset

🪿 Han (ห่าน or goose) Instruction Dataset is a Thai instruction dataset by PyThaiNLP. This dataset collects all Thai instruct datasets that were made by humans and our old model. The dataset can be used to train Instruction Following models like ChatGPT or others.

The final dataset of han instruction dataset was released!

GitHub: https://github.com/wannaphong/han-instruction-dataset

Data sources:

Supported Tasks and Leaderboards

  • —ChatBot
  • —Instruction Following

Languages

Thai

Dataset Structure

Data Fields

  • —messages: ChatML

Considerations for Using the Data

The dataset can be biased by human annotators and LLM annotators. We recommend you check the dataset to select or remove an instruction before training the model or using it to at your risk.

Licensing Information

CC-BY-SA 4.0

Citation

If you use Han Instruction Dataset in your project or publication, please cite the dataset as follows:

Phatthiyaphaibun, W. (2026). Han Instruction Dataset [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.22860746

or

bib
@dataset{phatthiyaphaibun_2026_22860746,
  author       = {Phatthiyaphaibun, Wannaphong},
  title        = {Han Instruction Dataset},
  month        = sep,
  year         = 2026,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.22860746},
  url          = {https://doi.org/10.5281/zenodo.22860746},
}

Zenodo: https://doi.org/10.5281/zenodo.22860746