load_dataset
data.load_dataset(name, **conditions)Open the dataset, load content into memory, and close its file handles.
Notes: This is a wrapper around open_dataset. The difference is that it loads the Dataset into memory, closes the file, and returns the Dataset. In contrast, open_dataset keeps the file handle open and lazy loads its contents.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| name | str | Name of the dataset to load. | required |
| conditions | dict | Additional conditions passed to where(), e.g., subject_id=['001', '002']. |
{} |
Returns
| Name | Type | Description |
|---|---|---|
| Dataset | Dataset | The newly loaded dataset. |
Examples
To fully load the dataset with the name P500_9subjects/L1m:
dataset = load_dataset('P500_9subjects/L1m')To load a dataset with the name P500_9subjects/L1m and select a subset of subjects by their IDs:
dataset = load_dataset('P500_9subjects/L1m', subject_id=['001', '002'])