| # README | |
| ## Description | |
| The second version of the PubChem324k Dataset used in the paper: [MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter](https://arxiv.org/abs/2310.12798) | |
| ## Load Example | |
| ```python | |
| import torch | |
| from torch_geometric.data import InMemoryDataset | |
| class PubChemDataset(InMemoryDataset): | |
| def __init__(self, path): | |
| super(PubChemDataset, self).__init__() | |
| self.data, self.slices = torch.load(path) | |
| def __getitem__(self, idx): | |
| return self.get(idx) | |
| if __name__ == '__main__': | |
| dataset = PubChemDataset('./pretrain.pt') | |
| print(dataset[0]) | |
| ``` |