Examination
ENADE_Brazilian_national_university_examination_MCQ_4832023_Pharmacist_Licensure_Examination-TCM_trackThe 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Traditional Chinese Medicine (TCM) Pharmacy track examination. It is important to note that this dataset was collected from online sources, and there may be some discrepancies between this data and the actual examination.
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/2023_Pharmacist_Licensure_Examination-TCM_track.College-Entrance-English-Examination-Listening-PartIf our dataset is useful for your research, please cite our work:
@article{li2025uni,
title={Uni-moe: Scaling unified multimodal llms with mixture of experts},
author={Li, Yunxin and Jiang, Shenyuan and Hu, Baotian and Wang, Longyue and Zhong, Wanqi and Luo, Wenhan and Ma, Lin and Zhang, Min},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2025},
publisher={IEEE}
}
tw-bar-examination-2020-chat
Dataset Card for tw-bar-examination-2020-chat
tw-bar-examination-2020-chat 是一個中華民國 2020 年律師考試選擇題之 Alpaca 格式微調資料集，合計 299 題（train 269、test 30）。每題包含統一提示語、題目與四個選項，以及正確答案字母，適用於微調繁體中文語言模型於台灣法律選擇題作答任務。
Dataset Details
Dataset Description
本資料集源自 Jamie0510/taiwan-law-exam 中之 2020 年律師考試題目，整合其四大類科後進行後處理：去除欄位缺失之題目，並統一轉為 Alpaca 三欄格式（instruction / input / output）。每題之 instruction 欄為固定提示語「請在下列的單一選擇題中，選出正確的答案，並且只回答 A, B, C, D 其中一個字代表正確答案」。
本資料集作為 SFT 訓練素材設計，建議與… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-bar-examination-2020-chat.2023_Pharmacist_Licensure_Examination-Pharmacy_trackThe 2023 Chinese National Pharmacist Licensure Examination is divided into two distinct tracks: the Pharmacy track and the Traditional Chinese Medicine (TCM) Pharmacy track. The data provided here pertains to the Pharmacy track examination. It is important to note that this dataset was collected from online sources, and there may be some discrepancies between this data and the actual examination.
Repository: https://github.com/FreedomIntelligence/HuatuoGPT-II
legal-cross-examination-impeachment-map-coherence-v0.1What this dataset does
You receive
witness key claim
prior statement
document contradiction
cross questions
impeachment point
materiality
You decide
coherent
or
incoherent
Daily use
cross plan QC
weak linkage detection
materiality focus check
wrong document flag