[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:transform = transforms.Compose(\n    [transforms.ToTensor(),\n     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n\ntrainset = torchvision.datasets.CIFAR10(root='.', train=True,\n                                        download=False, transform=transform)\ntrainloader = torch.utils.data.DataLoader(trainset, batch_size=32,\n                                          shuffle=True, num_workers=2)\n\ntestset = torchvision.datasets.CIFAR10(root='.', train=False,\n                                       download=False, transform=transform)\ntestloader = torch.utils.data.DataLoader(testset, batch_size=32,\n                                         shuffle=False, num_workers=2)\n\nclasses = ('plane', 'car', 'bird', 'cat',\n           'deer', 'dog', 'frog', 'horse', 'ship', 'truck')"}, {'role': 'assistant', 'content': "['load_data']"}]