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  ---
 
 
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  tags:
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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 consists of a training set with 1788 molecules and a test set with 594 molecules.
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- The train and test datasets were created after sanitizing and splitting the original dataset in the paper below.
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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},
@@ -32,17 +35,23 @@ configs:
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  dataset_info:
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  - config_name: HematoxLong2023
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  features:
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- - name: "new SMILES"
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- dtype: string
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- - name: "Label"
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- dtype: int64
 
 
 
 
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  splits:
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- - name: train
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- num_bytes: 28736
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- num_examples: 1788
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- - name: test
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- num_bytes: 9632
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- num_examples: 594
 
 
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  ---
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  # Hematotoxicity Dataset (HematoxLong2023)
 
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  ---
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+ license: mit
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+ language: en
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  tags:
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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 consists of a training set with 1788 molecules and
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+ a test set with 594 molecules. The train and test datasets were created after
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+ sanitizing and splitting the original dataset in the paper below.
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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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  dataset_info:
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  - config_name: HematoxLong2023
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  features:
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+ - name: "new 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: "negative"
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+ 1: "positive"
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  splits:
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+ - name: train
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+ num_bytes: 28736
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+ num_examples: 1788
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+ - name: test
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+ num_bytes: 9632
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+ num_examples: 594
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+ task_categories:
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+ - tabular-classification
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  ---
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  # Hematotoxicity Dataset (HematoxLong2023)