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.gitattributes

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 # Video files - compressed
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+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

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 ---
 license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- protein
+- downstream task
 ---
+
+# GO-CC Dataset
+
+- Description: Cellular Component of Gene Ontology (GO) project.
+- Number of labels: 320
+- 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}
+}
+```

test.csv

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train.csv

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valid.csv

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