README.md

---
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