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README.qm9.md
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---
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language: []
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pretty_name: QM9
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config_name: qm9
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tags:
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- graphs
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- molecules
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- chemistry
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task_categories:
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- graph-regression
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homepage: https://pytorch-geometric.readthedocs.io/en/latest/_modules/torch_geometric/datasets/qm9.html#QM9
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---
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# qm9
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QM9 molecular graphs with 3D coordinates and 19 regression targets (MoleculeNet).
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## Splits
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| Split | File |
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| --- | --- |
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| train | `train.parquet` |
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| validation | `val.parquet` |
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| test | `test.parquet` |
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## Features
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- **mol_id**: int64 unique identifier per molecule
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- **x**: list[float32[11]], shape (num_nodes, 11), atom features from PyG QM9
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- **z**: list[int64], shape (num_nodes,), atomic numbers
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- **pos**: list[float32[3]], shape (num_nodes, 3), 3D coordinates in Angstrom
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- **edge_index**: int64[2, num_edges], COO adjacency
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- **edge_attr**: list[float32[4]], shape (num_edges, 4), bond features from PyG QM9
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- **smiles**: string canonical SMILES
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- **y**: list[float32], length 19, regression targets (converted units per PyG)
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## References
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- PyTorch Geometric QM9 implementation: `https://pytorch-geometric.readthedocs.io/en/latest/_modules/torch_geometric/datasets/qm9.html#QM9`
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- MoleculeNet paper: `https://arxiv.org/abs/1703.00564`
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