[Python] Is A PyTorch Dataset Accessed by Multiple DataLoader Workers?

When using more than 1 DataLoader workers in PyTorch, does every worker access the same Dataset instance? Or does each DataLoader worker have their own instance of Dataset?

from torch.utils.data import DataLoader, Dataset

class NumbersDataset(Dataset):
def __init__(self):
self.samples = list(range(1, 1001))

def __len__(self):
return len(self.samples)

def __getitem__(self, idx):
return self.samples[idx]

dataset = NumbersDataset()
train_loader = DataLoader(dataset, num_workers=4)

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