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An Improved Traditional Chinese Evaluation Suite for Foundation Model
March 5, 2024, 2:52 p.m. | Zhi-Rui Tam, Ya-Ting Pai, Yen-Wei Lee, Sega Cheng, Hong-Han Shuai
cs.CL updates on arXiv.org arxiv.org
Abstract: We present TMMLU+, a comprehensive dataset designed for the Traditional Chinese massive multitask language understanding dataset. TMMLU+ is a multiple-choice question-answering dataset with 66 subjects from elementary to professional level. Compared to its predecessor, TMMLU, TMMLU+ is six times larger and boasts a more balanced subject distribution. We included benchmark results in TMMLU+ from closed-source models and 24 open-weight Chinese large language models of parameters ranging from 1.8B to 72B. Our findings reveal that Traditional …
abstract arxiv chinese cs.cl dataset elementary evaluation foundation foundation model language language understanding massive multiple professional question six type understanding
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