kwargs = dict(token=True, trust_remote_code=True)
# dataset_name = 'foundation/datasets/gz_rings.py' # local debug
dataset_name = 'mwalmsley/gz_rings' # remote
# Load a dataset and print the first example in the training set
dataset = datasets.load_dataset(dataset_name, 'classification', **kwargs)
print(dataset['train'][0])
# Load a dataset and print the first example in the test set
dataset = datasets.load_dataset(dataset_name, 'classification', **kwargs)
print(dataset['test'][0])
# Load a dataset and print the first example in the training set
dataset = datasets.load_dataset(dataset_name, 'regression', **kwargs)
print(dataset['train'][0])
# Load a dataset and print the first example in the test set
dataset = datasets.load_dataset(dataset_name, 'regression', **kwargs)
print(dataset['test'][0])