USTC-KnowledgeComputingLab/ElectrolyteBench
收藏Hugging Face2024-10-16 更新2025-04-12 收录
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https://hf-mirror.com/datasets/USTC-KnowledgeComputingLab/ElectrolyteBench
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资源简介：
---
task_categories:
- question-answering
language:
- en
tags:
- chemistry
- battery
- electrolyte
size_categories:
- n<1K
---
AI for Electrolyte is gaining increasing attention.
To evaluate the performance of large models in the field of electrolyte, we collaborated with chemists to build a test set called **ElectrolyteBench**.
To the best of our knowledge, we are the first to design such a dataset for LLMs.
We hope this work will attract more attention to this field and contribute to the advancement of AI for Electrolyte.
ElectrolyteBench includes 4 core tasks:
- Molecular Property
- Electrolyte Formula
- Text Understanding
- College Battery QA
## Cite This Work
```
@article{dai2024kale,
title={KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model},
author={Dai, Weichen and Chen, Yezeng and Dai, Zijie and Huang, Zhijie and Liu, Yubo and Pan, Yixuan and Song, Baiyang and Zhong, Chengli and Li, Xinhe and Wang, Zeyu and others},
journal={arXiv preprint arXiv:2409.18695},
year={2024}
}
```
提供机构：
USTC-KnowledgeComputingLab
