---
task_categories:
- text-generation
- question-answering
- text2text-generation
- translation
language:
- en
tags:
- chemistry
size_categories:
- 100K<n<1M
---
Data Source for TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation

Home Page: [Home](https://phenixace.github.io/tomgbench/)

Github Page: [Github](https://github.com/phenixace/TOMG-Bench)

PaperWithCode Page: [PWC](https://paperswithcode.com/dataset/tomg-bench)


## Training:  
Please see ./OpenMolIns/ 

We have 5 different variants, from light to xlarge.

## Evaluation:  
Please see ./benchmarks/, and combine the codes from our repository [TOMG-Bench](https://github.com/phenixace/TOMG-Bench)

## citation

If this work is helpful, please kindly cite as:

```bibtex
@article{li2024tomg,
  title={TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation},
  author={Li, Jiatong and Li, Junxian and Liu, Yunqing and Zhou, Dongzhan and Li, Qing},
  journal={arXiv preprint arXiv:2412.14642},
  year={2024}
}
```