---
title: drugchat_liang_zhang_et_al
canonical_url: "https://www.modelscope.cn/datasets/jablonkagroup/drugchat_liang_zhang_et_al"
md_url: "https://www.modelscope.cn/datasets/jablonkagroup/drugchat_liang_zhang_et_al.md"
repository: jablonkagroup/drugchat_liang_zhang_et_al
last_updated: 2025-05-27
license: "Apache License 2.0"
storage_size: "132 MB"
downloads: 783
stars: 0
---

# drugchat_liang_zhang_et_al

> drugchat_liang_zhang_et_al - jablonkagroup 在 ModelScope 开源的数据集。Instruction tuning dataset used for the LLM component of DrugChat. 10,834 compounds (3,8962 from ChEMBL and 6,942 from PubChem) containing descriptive drug information were collected. 143,517…

jablonkagroup/drugchat_liang_zhang_et_al 是 ModelScope 魔搭社区上的数据集，存储大小 132 MB，采用 Apache License 2.0 许可。

- **Repository**: jablonkagroup/drugchat_liang_zhang_et_al
- **License**: Apache License 2.0
- **Storage size**: 132 MB
- **Downloads**: 783
- **Stars**: 0
- **Last updated**: 2025-05-27

Source: https://www.modelscope.cn/datasets/jablonkagroup/drugchat_liang_zhang_et_al

---

## Dataset Details

### Dataset Description

Instruction tuning dataset used for the LLM component of DrugChat.
10,834 compounds (3,8962  from ChEMBL and 6,942 from  PubChem) containing
descriptive drug information were collected. 143,517 questions were generated
using the molecules' classification, properties and descriptions from ChEBI, LOTUS & YMDB.

- **Curated by:**
- **License:** BSD-3-Clause

### Dataset Sources

- [corresponding publication](https://www.techrxiv.org/articles/preprint/DrugChat_Towards_Enabling_ChatGPT-Like_Capabilities_on_Drug_Molecule_Graphs/22945922)
- [rep & data source](https://github.com/UCSD-AI4H/drugchat)

## Citation

<!-- 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
@article{Liang2023,
author = "Youwei Liang and Ruiyi Zhang and Li Zhang and Pengtao Xie",
title = "{DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs}",
year = "2023",
month = "5",
url = "https://www.techrxiv.org/articles/preprint/DrugChat_Towards_Enabling_ChatGPT-Like_Capabilities_on_Drug_Molecule_Graphs/22945922",
doi = "10.36227/techrxiv.22945922.v1"}
```