upload

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
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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
 ---
+
+# MetalIonBinding Dataset
+
+- Description: Metal-binding proteins are proteins or protein domains that chelate a metal ion.
+- Number of labels: 2
+- Problem Type: single_label_classification
+- Columns:
+  - aa_seq: protein amino acid sequence
+  - foldseek_seq: foldseek 20 3di structural 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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+size 202605

train.csv

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+size 1587641

valid.csv

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