<jupyter_start><jupyter_text>Download images & annotations<jupyter_code>#Download data
!curl -O "https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/archives/fgvc-aircraft-2013b.tar.gz" -o "fgvc-aircraft-2013b.tar.gz"
#List fthe content of the files

!tar tzvf  "fgvc-aircraft-2013b.tar.gz" 
#unzipb

!tar xzf "fgvc-aircraft-2013b.tar.gz" -C "../"
!mv "../fgvc-aircraft-2013b" "../dataset"
!mv "fgvc-aircraft-2013b.tar.gz" "../dataset/fgvc-aircraft-2013b.tar.gz"<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.18902439024390244, 'fraction_numerical': 0.056910569105691054, 'mean_word_length': 4.53932584269663, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '183773', 'license': 'MIT', 'n_tokens_mistral': 240, 'n_tokens_neox': 214, 'n_words': 29, 'path': 'notebooks/data_download.ipynb', 'repo_name': 'Rich229/plane-classification', 'size': '492'}