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IDEA-AI4S/MolInst_RS_125K_Scaffold_SMILES-MMChat

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Hugging Face2024-11-04 更新2026-04-05 收录
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--- dataset_info: features: - name: id dtype: int64 - name: molecules struct: - name: selfies sequence: string - name: smiles sequence: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: ground_truth dtype: string splits: - name: train num_bytes: 102962640 num_examples: 128684 - name: test num_bytes: 770318 num_examples: 1000 download_size: 15820014 dataset_size: 103732958 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- Retrosynthesis Prediction Dataset (derived from [MolInstruct](https://arxiv.org/abs/2306.08018)) - molecule representation format: 1D SMILES - will further encode into 2D graph features - We use scaffold splitting to reconstruct the train-split. We use SMolInstruct RS train split as the sample pool. - We only include single-step retrosynthesis prediction. For Detail, refer to *PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes*: https://arxiv.org/pdf/2406.13193
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