<jupyter_start><jupyter_text>TEST<jupyter_code>with open("japanese_movies_dataset/meta_movie_data/2018/1.json") as json_file:
    json_dict = dict(json.load(json_file))
    # print(json_dict)
    record = pd.Series(json_dict)
record
record = pd.Series(dict(A='A', B='B'))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14950166112956811, 'fraction_numerical': 0.016611295681063124, 'mean_word_length': 7.388888888888889, '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': '574299', 'license': 'MIT', 'n_tokens_mistral': 126, 'n_tokens_neox': 121, 'n_words': 13, 'path': 'preprocessing.ipynb', 'repo_name': 'kondounagi/japanese_movies_dataset', 'size': '301'}