<jupyter_start><jupyter_text>Посмотрим, что альбументации применились в данным<jupyter_code>@interact
def show_images(index=IntSlider(val=0, min=0, max=len(train_data)-1)):
    img,_ = train_data[index]
    img = np.array(img).reshape(28,28)

    plt.figure(figsize=[4, 4])
    plt.imshow(img, cmap="gray")

    plt.show()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15625, 'fraction_numerical': 0.02556818181818182, 'mean_word_length': 6.204081632653061, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '222923', 'license': 'MIT', 'n_tokens_mistral': 149, 'n_tokens_neox': 153, 'n_words': 19, 'path': 'notebooks/mnist_research/test_aug_to_train.ipynb', 'repo_name': 'lsd-maddrive/object_detection', 'size': '352'}