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@@ -35,13 +35,13 @@ This dataset collection contains curated active compound lists from various [Pub
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  Then We applied SMILES standardization using RDKit and MolVS, including molecule sanitization and fragment removal.
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- Each dataset includes the following fields:
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  - Task: Interference type (e.g., Autofluorescence, REDOX)
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  - AID: PubChem Assay ID
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  - CID: PubChem Compound ID
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  - SMILES: Curated chemical representation
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- -
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  The final dataset is suitable for training and evaluating machine learning models.
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  # List of PubChem AIDs included:
 
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  Then We applied SMILES standardization using RDKit and MolVS, including molecule sanitization and fragment removal.
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+ Each dataset includes the following columns:
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  - Task: Interference type (e.g., Autofluorescence, REDOX)
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  - AID: PubChem Assay ID
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  - CID: PubChem Compound ID
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  - SMILES: Curated chemical representation
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+
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  The final dataset is suitable for training and evaluating machine learning models.
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  # List of PubChem AIDs included: