Datasets:
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---
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
<!-- Provide a quick summary of the dataset. -->
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]
<!-- Provide the basic links for the dataset. -->
- **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.
<!-- This section describes suitable use cases for the dataset. -->
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**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
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