<jupyter_start><jupyter_text>command line```shpython -m sagas.bots.tools.corpus_procs gen_dataset corpus/cn-Samples_issue.md nlu_data/cn-Samples.jsonpython -m sagas.bots.tools.corpus_procs gen_dataset corpus/cn-ConcertBot.md nlu_data/cn-ConcertBot.jsonpython -m rasa_nlu.train \    --config config.yml \    --data nlu_data/ \    --path projects \    --fixed_model_name nlu \    --project chinese```<jupyter_code>import io_utils
proj_dir='../chinese_hanlp'
corpus_dir=proj_dir+'/corpus'
nlu_data_dir=proj_dir+'/nlu_data'
io_utils.list_files(corpus_dir)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12736660929432014, 'fraction_numerical': 0.0, 'mean_word_length': 5.191489361702128, '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': '411985', 'license': 'Apache-2.0', 'n_tokens_mistral': 238, 'n_tokens_neox': 226, 'n_words': 29, 'path': 'notebook/procs-nlu-trainer.ipynb', 'repo_name': 'samlet/stack', 'size': '581'}