--- configs: - config_name: mmlu data_files: - split: test path: mmlu/test.csv - split: labeled path: mmlu/labeled.csv - split: unlabeled path: mmlu/unlabeled.csv - config_name: mmlu_pro data_files: - split: test path: mmlu_pro/test.csv - split: labeled path: mmlu_pro/labeled.csv - split: unlabeled path: mmlu_pro/unlabeled.csv - config_name: arc data_files: - split: test path: arc/test.csv - split: labeled path: arc/labeled.csv - split: unlabeled path: arc/unlabeled.csv - config_name: FPB data_files: - split: test path: FPB/test.csv - split: labeled path: FPB/labeled.csv - split: unlabeled path: FPB/unlabeled.csv - config_name: USMLE data_files: - split: test path: USMLE/test.csv - split: labeled path: USMLE/labeled.csv - split: unlabeled path: USMLE/unlabeled.csv - config_name: PubMedQA data_files: - split: test path: PubMedQA/test.csv - split: labeled path: PubMedQA/labeled.csv - split: unlabeled path: PubMedQA/unlabeled.csv - config_name: ConvFinQA data_files: - split: test path: ConvFinQA/test.csv - split: labeled path: ConvFinQA/labeled.csv - split: unlabeled path: ConvFinQA/unlabeled.csv license: cc-by-4.0 task_categories: - question-answering - multiple-choice - text-generation language: - en tags: - finance - medical --- # Dataset Card for Dataset Name The SemiEvol dataset is part of the broader work on semi-supervised fine-tuning for Large Language Models (LLMs). The dataset includes labeled and unlabeled data splits designed to enhance the reasoning capabilities of LLMs through a bi-level knowledge propagation and selection framework, as proposed in the paper [SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation](https://arxiv.org/abs/2410.14745). ## Dataset Details ### Dataset Sources [optional] - **Repository:** - https://huggingface.co/datasets/cais/mmlu - https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro - https://huggingface.co/datasets/cais/mmlu; - https://huggingface.co/AdaptLLM; - **Paper [optional]:** https://huggingface.co/papers/2410.14745 ## Uses ### Direct Use Please refer to https://github.com/luo-junyu/SemiEvol for evaluation instruction. ## Citation [optional] **BibTeX:** ```BibTex @misc{luo2024semievol, title={SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation}, author={Junyu Luo and Xiao Luo and Xiusi Chen and Zhiping Xiao and Wei Ju and Ming Zhang}, year={2024}, eprint={2410.14745}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2410.14745}, } ``` **APA:** Luo, J., Luo, X., Chen, X., Xiao, Z., Ju, W., & Zhang, M. (2024). SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. ArXiv. https://arxiv.org/abs/2410.14745