<jupyter_start><jupyter_text>TRAINING MNIST WITH FIATORCH  1. init a task<jupyter_code>from fiat import task
# init a task and add a block.

f = task()
f.add_block(name='classify')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10476190476190476, 'fraction_numerical': 0.004761904761904762, 'mean_word_length': 6.535714285714286, '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': '268089', 'license': 'MIT', 'n_tokens_mistral': 85, 'n_tokens_neox': 83, 'n_words': 21, 'path': 'MNIST/demo.ipynb', 'repo_name': 'chamhoo/FiaTorch', 'size': '210'}