upload

README.md

@@ -1,3 +1,34 @@
 ---
 license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- protein
+- downstream task
 ---
+
+# GO-MF Dataset
+
+- Description: Molecular Function of Gene Ontology (GO) project.
+- Number of labels: 489
+- Problem Type: multi_label_classification
+- Columns:
+  - aa_seq: protein amino acid sequence
+
+# Github
+
+Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
+
+https://github.com/tyang816/SES-Adapter
+
+# Citation
+Please cite our work if you use our dataset.
+```
+@article{tan2024ses-adapter,
+  title={Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models},
+  author={Tan, Yang and Li, Mingchen and Zhou, Bingxin and Zhong, Bozitao and Zheng, Lirong and Tan, Pan and Zhou, Ziyi and Yu, Huiqun and Fan, Guisheng and Hong, Liang},
+  journal={Journal of Chemical Information and Modeling},
+  year={2024},
+  publisher={ACS Publications}
+}
+```