<jupyter_start><jupyter_text>Add new step to the pipeline<jupyter_code>import redis
r = redis.Redis()
sub = r.pubsub(ignore_subscribe_messages=True)
sub.subscribe(['processed'])
import mq
for message in sub.listen():
    sentence = mq.read_message_data(message)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11683848797250859, 'fraction_numerical': 0.0, 'mean_word_length': 8.125, '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': '487527', 'license': 'Apache-2.0', 'n_tokens_mistral': 105, 'n_tokens_neox': 102, 'n_words': 20, 'path': 'step3_nlp/NER.ipynb', 'repo_name': 'osmya/pydatanlp', 'size': '291'}