The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in acharkq/PubChem324kV2
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in acharkq/PubChem324kV2

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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

Load Example

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])
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