Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- protein
+- downstream task
+---
+
+# PETA_LGK_Sol Dataset
+
+- Description: Solubility mutation dataset.
+- Number of labels: 1
+- Problem Type: regression
+- Columns:
+  - aa_seq: protein amino acid sequence
+
+# Github
+
+PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications
+
+https://github.com/ginnm/ProteinPretraining
+
+# Citation
+Please cite our work if you use our dataset.
+```
+@article{tan2024peta,
+  title={PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications},
+  author={Tan, Yang and Li, Mingchen and Zhou, Ziyi and Tan, Pan and Yu, Huiqun and Fan, Guisheng and Hong, Liang},
+  journal={Journal of Cheminformatics},
+  volume={16},
+  number={1},
+  pages={92},
+  year={2024},
+  publisher={Springer}
+}
+```