Datasets:
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- README.md +31 -0
- test.csv +3 -0
- train.csv +3 -0
- valid.csv +3 -0
.gitattributes
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# Video files - compressed
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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task_categories:
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- text-classification
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tags:
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- protein
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- downstream task
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---
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# DeepSol Dataset
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- Description: Solubility is a fundamental protein property that has important connotations for therapeutics and use in diagnosis.
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- Number of labels: 2
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- Problem Type: single_label_classification
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- Columns:
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- aa_seq: protein amino acid sequence
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# Github
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Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
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https://github.com/tyang816/SES-Adapter
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# Citation
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Please cite our work if you use our dataset.
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```
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@article{tan2024ses-adapter,
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title={Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models},
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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},
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journal={Journal of Chemical Information and Modeling},
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year={2024},
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publisher={ACS Publications}
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}
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```
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test.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac30df4c49fba1548ccb15068dcf4dde39db5e3c33043603e7c1f5be4026ad12
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size 599814
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train.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e85d5e2249f39a8a4ac05107ae740509dc713a5031f1eab79a1db7caaf72916
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size 18846148
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valid.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2366338126c41b9a48d4b2511b53feb19c31cdd3a889567dad31fa75165d0fe
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size 2113892
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