multiple-choice
Qwen2.5-1.5B-Instruct-Multiple-Choice-Maker-GGUFzephyr-7b-beta_multiple-choiceQwen2.5-1.5B-Instruct-Multiple-Choice-Makermt5-base-parsinlu-arc-comqa-obqa-multiple-choicebert-base-japanese-v3-multiple-choicembert-base-parsinlu-multiple-choicemt5-base-parsinlu-multiple-choiceARMAN-SS-80-persian-base-parsinlu-multiple-choice
Chinese-Logic-Multiple-ChoiceTraditional-Chinese-Medicine-Multiple_choice_question
Discription
This dataset is sourced from the website of the Ministry of Examination, R.O.C (Taiwan) and contains past exam questions from the national Traditional Chinese Medicine examinations in Taiwan. The exam comprises six subjects. This dataset specifically includes questions from two subjects, including the History of Traditional Chinese Medicine, Basic Theories of Traditional Chinese Medicine, Neijing, Nanjing, Traditional Chinese Medicine Prescription Studies, and… See the full description on the dataset page: https://huggingface.co/datasets/Liavan/Traditional-Chinese-Medicine-Multiple_choice_question.sat_multiple_choice_math_may_23This is the set of math SAT questions from the May 2023 SAT, taken from here: https://www.mcelroytutoring.com/lower.php?url=44-official-sat-pdfs-and-82-official-act-pdf-practice-tests-free.
Questions that included images were not included but all other math questions, including those that have tables were included.
cycic_multiplechoicehttps://colab.research.google.com/drive/16nyxZPS7-ZDFwp7tn_q72Jxyv0dzK1MP?usp=sharing
@article{Kejriwal2020DoFC,
title={Do Fine-tuned Commonsense Language Models Really Generalize?},
author={Mayank Kejriwal and Ke Shen},
journal={ArXiv},
year={2020},
volume={abs/2011.09159}
}
added for
@article{sileo2023tasksource,
title={tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation},
author={Sileo, Damien},
url=… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/cycic_multiplechoice.kvqa_multiple_choicelilac-TruthfulQA-MultipleChoice
lilac/TruthfulQA-MultipleChoice
This dataset is a Lilac processed dataset. Original dataset: https://huggingface.co/datasets/truthful_qa
To download the dataset to a local directory:
lilac download lilacai/lilac-TruthfulQA-MultipleChoice
or from python with:
ll.download("lilacai/lilac-TruthfulQA-MultipleChoice")