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README.md
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- chemistry
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- chemical information
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pretty_name: Hematotoxicity Dataset
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size_categories:
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- 1K<n<10K
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config_names:
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- HematoxLong2022
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---
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# Hematotoxicity Dataset (HematoxLong2022)
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- chemistry
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- chemical information
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pretty_name: Hematotoxicity Dataset
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dataset_summary: >-
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The hematotoxicity dataset which contains a training set of 1330 molecules, a test set of 442 molecules,
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and a validation set of 610 new molecules.
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citation: >-
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@article{,
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author = {Teng-Zhi Long, Shao-Hua Shi, Shao Liu, Ai-Ping Lu, Zhao-Qian Liu, Min Li, Ting-Jun Hou*, and Dong-Sheng Cao},
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doi = {10.1021/acs.jcim.2c01088},
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journal = {Journal of Chemical Information and Modeling},
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number = {1},
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title = {Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches},
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volume = {63},
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year = {2023},
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url = {https://pubs.acs.org/doi/10.1021/acs.jcim.2c01088},
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publisher = {ACS publications}
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}
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size_categories:
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- 1K<n<10K
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config_names:
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- HematoxLong2022
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configs:
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- config_name: HematoxLong2022
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dataset_info:
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- name: canonical SMILES
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dtype: string
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- name: Label
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dtype:
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class_label:
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names:
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0: 0
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1: 1
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---
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# Hematotoxicity Dataset (HematoxLong2022)
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