typhoon-ai/typhoon-s-sovereign-capability-dataset

Typhoon-S Training Assets

Training and evaluation datasets for Section 3, Thai language models used in the Typhoon-S project.

Datasets

NitiBench (Legal Domain)

• —nitibench_train_rl.parquet - RL training set (8,211 examples)
• —nitibench_train_pretrain.parquet - Pretrain set (3,648 examples)
• —nitibench_train_sft.parquet - SFT set (3,648 examples)
• —nitibench_test.parquet - Test set (373 examples) (10% of https://huggingface.co/datasets/VISAI-AI/nitibench ccl split)
• —nitibench_train_rl_agent.parquet - Agent RL training (8,211 examples)

Original source

• —https://huggingface.co/datasets/airesearch/WangchanX-Legal-ThaiCCL-RAG
• —https://huggingface.co/datasets/VISAI-AI/nitibench

MIRAGE (General Domain)

• —mirage_train_rl.parquet - RL training set
• —mirage_train_pretrain.parquet - Pretrain set
• —mirage_test.parquet - Test set

Original source

• —https://huggingface.co/datasets/nthakur/mirage-bench-instruct
• —https://huggingface.co/datasets/nthakur/mirage-bench

Usage

from datasets import load_dataset

# Load a single file
dataset = load_dataset("typhoon-ai/typhoon-s-sovereign-capability-dataset", data_files="nitibench_train_rl.parquet")

# Load multiple files
dataset = load_dataset(
    "typhoon-ai/typhoon-s-sovereign-capability-dataset",
    data_files={
        "train": "nitibench_train_rl.parquet",
        "test": "nitibench_test.parquet"
    }
)

More Information

Please see for more details: https://github.com/scb-10x/typhoon-s

Citation

If you use this dataset, please cite the dataset repository and the associated Typhoon-S technical report:

@misc{pipatanakul2026typhoonsminimalopenposttraining,
      title={Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models}, 
      author={Kunat Pipatanakul and Pittawat Taveekitworachai},
      year={2026},
      eprint={2601.18129},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2601.18129}, 
}