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Browse files- README.md +19 -3
- dataset_info.json +43 -0
- train/metadata.jsonl +0 -0
README.md
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# BBBP Dataset
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This dataset contains BBBP (Blood-Brain Barrier Penetration) molecule images generated from SMILES strings.
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## Dataset Structure
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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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## Usage
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from datasets import load_dataset
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dataset = load_dataset("ChemVision/BBBP-V-SMILES-2")
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dataset_info.json
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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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}
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train/metadata.jsonl
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File without changes
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