<jupyter_start><jupyter_text>----------------------------------------<jupyter_code>for word in tag_list[0]:
    print(word)
synonyms = []
antonyms = []
  
for syn in wordnet.synsets("Quiet"):
    for l in syn.lemmas():
        synonyms.append(l.name())
        if l.antonyms():
            antonyms.append(l.antonyms()[0].name())
            
print(set(synonyms))
synonyms = []
antonyms = []
  
for syn in wordnet.synsets("Peaceful"):
    for l in syn.lemmas():
        synonyms.append(l.name())
        if l.antonyms():
            antonyms.append(l.antonyms()[0].name())
            
print(set(synonyms))
synonyms = []
antonyms = []
  
for syn in wordnet.synsets("Family Friendly"):
    for l in syn.lemmas():
        synonyms.append(l.name())
        if l.antonyms():
            antonyms.append(l.antonyms()[0].name())
            
print(set(synonyms))<jupyter_output>set()
{'fraction_non_alphanumeric': 0.20296465222348917, 'fraction_numerical': 0.004561003420752566, 'mean_word_length': 2.192727272727273, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, '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': '72269', 'license': 'Unlicense', 'n_tokens_mistral': 316, 'n_tokens_neox': 314, 'n_words': 51, 'path': 'Wrangling_code/conbine_zip_tags.ipynb', 'repo_name': 'sakuraszy/STATS-170A-Group', 'size': '877'}