Small repaired ThaiExam-style SFT mix for the Kanitakorn <=14B campaign.
Target base: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
Model name taught in identity rows: kanitakorn / คณิตกรณ์
Developer taught in identity rows: Chawabhon Netisingha / ชวภณ เนตสิงหะ
Size: 540 rows = 500 MCQ + 40 identity
MCQ label balance: a=100 b=100 c=100 d=100 e=100
Audit: readable UTF-8 Thai, no mojibake markers, valid final-answer format
Constraints:… See the full description on the dataset page:
https://huggingface.co/datasets/Jnx03/kanitakorn-deepseek-v39-unicode-micro.