<jupyter_start><jupyter_text>The minimal experiment in NvTKNvTK minimized the deep-learning experiment on sequence data and single cell data with a simple config.json file. The minimal experiment could be simplified as two steps:1. prepare the dataset in a required format. 2. prepare template config.json file. Note the config should be authorized in NvTK, please make sure you have read the document first.<jupyter_code>!wget ./Dataset.train_test.h5
import NvTK
experiment = NvTK.NvTKCLI(config="./config.json")
experiment.execute()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06914893617021277, 'fraction_numerical': 0.005319148936170213, 'mean_word_length': 5.726190476190476, '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': '466479', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 169, 'n_tokens_neox': 160, 'n_words': 65, 'path': 'Tutorials/0_NvTK_minimal/nvtk_minimal.ipynb', 'repo_name': 'JiaqiLiZju/NvTK', 'size': '564'}