<jupyter_start><jupyter_text>Few-shot<jupyter_code>few_ids = [s.strip() for s in open('f30k_few_train.txt').readlines()]

ix = 0
for cur_dir in range(21, 22):
    prs = Presentation('template.pptx')
    for slide in list(prs.slides)[3:-1]:
        ph1 = list(slide.placeholders)[0]
        ph1.insert_picture('images/21/%s.jpg' % few_ids[ix])
        ix += 1
    for lang_id, lang in languages.items():
        prs.save("annotations/%s/%s_%02d.pptx" % (lang_id, lang, cur_dir))<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16765285996055226, 'fraction_numerical': 0.03353057199211045, 'mean_word_length': 3.9320388349514563, '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': '623657', 'license': 'MIT', 'n_tokens_mistral': 215, 'n_tokens_neox': 201, 'n_words': 34, 'path': 'tools/crowdsource/MakeSlides.ipynb', 'repo_name': 'danoneata/iglue', 'size': '507'}