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{
"dataset": "clintox",
"model_name": "BiLSTM",
"model_links": [],
"paper_title": "Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data",
"paper_url": "https://arxiv.org/abs/2407.18919v1",
"metrics": {
"AUC": "0.97"
},
"table_metrics": {
"AUC": "0.97"
},
"prompts": [
"Given the following paper and codebase:\nPaper: Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data\nCodebase: Repository not available\n\nImprove the BiLSTM model on the clintox dataset. The result should improve on the following metrics: {'AUC': '0.97'}. You must use only the codebase provided."
]
}

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654 Bytes
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30a71dc2c28b7da5fd10bdbf1a5806248622761f9498ff023749fca83dd9bfb2

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