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  1. README.md +19 -3
  2. dataset_info.json +43 -0
  3. train/metadata.jsonl +0 -0
README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # BBBP Dataset
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+
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+ This dataset contains BBBP (Blood-Brain Barrier Penetration) molecule images generated from SMILES strings.
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+
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+ ## Dataset Structure
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+
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+ - Question: The question associated with the molecule
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+ - Answer: The answer associated with the molecule
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+ - TargetMolecule: SMILES representation of the molecule
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+ - SampleMethod: Method used for sampling
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+ - SampleNum: Sample number
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+ - SampleRep: Sample representation
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+ - file_name: The file path to the molecule image
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+
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+ ## Usage
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+
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("ChemVision/BBBP-V-SMILES-2")
dataset_info.json ADDED
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+ {
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+ "description": "BBBP dataset with molecule images",
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+ "citation": "",
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+ "homepage": "https://huggingface.co/datasets/ChemVision/BBBP-V-SMILES-2",
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+ "license": "",
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+ "features": {
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+ "Question": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "Answer": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "TargetMolecule": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "SampleMethod": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "SampleNum": {
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+ "dtype": "int64",
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+ "_type": "Value"
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+ },
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+ "SampleRep": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "file_name": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ }
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+ },
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+ "splits": {
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+ "train": {
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+ "name": "train",
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+ "num_bytes": null,
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+ "num_examples": 0
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+ }
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+ }
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+ }
train/metadata.jsonl ADDED
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