{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":14889,"offset":14879,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u041a\u043e\u043d\u0435\u0447\u043d\u043e! \u0427\u0442\u043e\u0431\u044b \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u043b\u044f \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435, \u0432\u0430\u043c \u043d\u0443\u0436\u043d\u043e \u0431\u0443\u0434\u0435\u0442 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 `pytube` \u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c Python-\u0441\u043a\u0440\u0438\u043f\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0431\u0443\u0434\u0435\u0442 \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u0442\u044c \u0432\u0438\u0434\u0435\u043e \u0438 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u044c \u043f\u0440\u043e\u0433\u0440\u0435\u0441\u0441. \u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440, \u043a\u0430\u043a \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c:\n\n1. \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 `pytube`, \u0435\u0441\u043b\u0438 \u043e\u043d\u0430 \u0435\u0449\u0435 \u043d\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0430. \u042d\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e `pip`:\n\n   ```bash\n   pip install pytube\n   ```\n\n2. \u0417\u0430\u0442\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0439\u0442\u0435 Python-\u0441\u043a\u0440\u0438\u043f\u0442 \u0441 \u0442\u0430\u043a\u0438\u043c \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435\u043c:\n\n```python\nfrom pytube import Channel, YouTube\n\ndef is_short(video):\n    # \u041e\u0431\u044b\u0447\u043d\u043e Shorts \u0438\u043c\u0435\u044e\u0442 \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043d\u0435 \u0431\u043e\u043b\u0435\u0435 60 \u0441\u0435\u043a\u0443\u043d\u0434\n    return video.length <= 60\n\n# \u0417\u0430\u043c\u0435\u043d\u0438\u0442\u0435 \u043d\u0430 URL \u043d\u0443\u0436\u043d\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0430\nchannel_url = 'https://www.youtube.com/c/YourChannelName'\n\nchannel = Channel(channel_url)\n\nprint(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442 \u0441 \u043a\u0430\u043d\u0430\u043b\u0430: {channel.channel_name}')\n\n# \u0423\u043a\u0430\u0436\u0438\u0442\u0435 \u043f\u0443\u0442\u044c \u043a \u043f\u0430\u043f\u043a\u0435, \u043a\u0443\u0434\u0430 \u0431\u0443\u0434\u0443\u0442 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0442\u044c\u0441\u044f \u0432\u0438\u0434\u0435\u043e\noutput_path = './DownloadedShorts'\n\ndef on_progress(stream, chunk, bytes_remaining):\n    total_size = stream.filesize\n    bytes_downloaded = total_size - bytes_remaining \n    percent_complete = bytes_downloaded / total_size * 100\n    print(f'\u0417\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043e: {int(percent_complete)}%', end='\\r')\n\n# \u0426\u0438\u043a\u043b \u043f\u043e \u0432\u0441\u0435\u043c \u0432\u0438\u0434\u0435\u043e \u0432 \u043a\u0430\u043d\u0430\u043b\u0435\nfor video in channel.videos:\n    if is_short(video):\n        print(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0435 Short: {video.title}')\n        yt = YouTube(video.watch_url, on_progress_callback=on_progress)\n        stream = yt.streams.get_highest_resolution()\n        stream.download(output_path=output_path)\n\nprint('\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0430.')\n```\n\n### \u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442:\n- **\u0424\u0443\u043d\u043a\u0446\u0438\u044f `is_short`**: \u0418\u0437\u0431\u0438\u0440\u0430\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u0435\u0442 \u0432\u0438\u0434\u0435\u043e \u0441 \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e \u043d\u0435 \u0431\u043e\u043b\u0435\u0435 60 \u0441\u0435\u043a\u0443\u043d\u0434.\n- **`on_progress_callback`**: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0433\u0440\u0435\u0441\u0441\u0430 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043f\u043e \u043c\u0435\u0440\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f.\n- **\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0432\u0438\u0434\u0435\u043e**: \u0412\u0438\u0434\u0435\u043e \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u044e\u0442\u0441\u044f \u0432 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u0443\u044e \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e `./DownloadedShorts`. \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u044d\u0442\u0430 \u043f\u0430\u043f\u043a\u0430 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442, \u0438\u043b\u0438 \u0441\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0435\u0451 \u0437\u0430\u0440\u0430\u043d\u0435\u0435.\n\n### \u041a\u0430\u043a \u0435\u0433\u043e \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c:\n- \u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u0441\u043a\u0440\u0438\u043f\u0442 \u0432 \u0444\u0430\u0439\u043b, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, `download_shorts.py`.\n- \u041e\u0442\u043a\u0440\u043e\u0439\u0442\u0435 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b \u0438\u043b\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0438 \u043f\u0435\u0440\u0435\u0439\u0434\u0438\u0442\u0435 \u0432 \u043a\u0430\u0442\u0430\u043b\u043e\u0433, \u0433\u0434\u0435 \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432\u0430\u0448 \u0441\u043a\u0440\u0438\u043f\u0442.\n- \u0412\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u0443:\n  ```bash\n  python download_shorts.py\n  ```\n\n\u042d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u0431\u0443\u0434\u0435\u0442 \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u0442\u044c YouTube Shorts \u0438\u0437 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u044c \u043f\u0440\u043e\u0433\u0440\u0435\u0441\u0441 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u044c. \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u044b\u0435 \u043f\u0440\u0430\u0432\u0430 \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430.","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2277,"n_turns_in_conversation":11,"n_words":267,"source_row_offset":14879,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"eea716911e4905bb43e8a651","turn_index":5,"user_text":"\u043d\u0430\u043f\u0438\u0448\u0438 \u0441\u043a\u0440\u0438\u043f\u0442 \u043d\u0435 \u0434\u043b\u044f google colab, \u0430 \u043e\u0431\u044b\u0447\u043d\u044b\u0439"},{"assistant_initiates":false,"asst_text":"\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0441\u043a\u0440\u0438\u043f\u0442 \u0442\u0430\u043a, \u0447\u0442\u043e\u0431\u044b \u043e\u043d \u0437\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u043b \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u0432\u0432\u043e\u0434 \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u0438, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e. \u041d\u0438\u0436\u0435 \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d \u043f\u0440\u0438\u043c\u0435\u0440, \u043a\u0430\u043a \u044d\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c:\n\n```python\nfrom pytube import Channel, YouTube\nimport os\n\ndef is_short(video):\n    # \u041e\u0431\u044b\u0447\u043d\u043e Shorts \u0438\u043c\u0435\u044e\u0442 \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043d\u0435 \u0431\u043e\u043b\u0435\u0435 60 \u0441\u0435\u043a\u0443\u043d\u0434\n    return video.length <= 60\n\ndef on_progress(stream, chunk, bytes_remaining):\n    total_size = stream.filesize\n    bytes_downloaded = total_size - bytes_remaining \n    percent_complete = bytes_downloaded / total_size * 100\n    print(f'\u0417\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043e: {int(percent_complete)}%', end='\\r')\n\ndef main():\n    # \u0417\u0430\u043f\u0440\u043e\u0441 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\n    channel_url = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 URL \u043a\u0430\u043d\u0430\u043b\u0430: ').strip()\n\n    # \u0417\u0430\u043f\u0440\u043e\u0441 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n    output_path = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e: ').strip()\n\n    # \u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430, \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043b\u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044f, \u0435\u0441\u043b\u0438 \u043d\u0435\u0442, \u0442\u043e \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435\n    if not os.path.exists(output_path):\n        os.makedirs(output_path)\n\n    channel = Channel(channel_url)\n    print(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442 \u0441 \u043a\u0430\u043d\u0430\u043b\u0430: {channel.channel_name}')\n\n    # \u0426\u0438\u043a\u043b \u043f\u043e \u0432\u0441\u0435\u043c \u0432\u0438\u0434\u0435\u043e \u0432 \u043a\u0430\u043d\u0430\u043b\u0435\n    for video in channel.videos:\n        if is_short(video):\n            print(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0435 Short: {video.title}')\n            yt = YouTube(video.watch_url, on_progress_callback=on_progress)\n            stream = yt.streams.get_highest_resolution()\n            stream.download(output_path=output_path)\n\n    print('\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0430.')\n\nif __name__ == '__main__':\n    main()\n```\n\n### \u041a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442:\n- **\u0417\u0430\u043f\u0440\u043e\u0441 \u0432\u0432\u043e\u0434\u0430**: \u0421\u043d\u0430\u0447\u0430\u043b\u0430 \u043e\u043d \u0437\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u0435\u0442 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e.\n- **\u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 \u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438**: \u0415\u0441\u043b\u0438 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0439 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u043d\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442, \u0441\u043a\u0440\u0438\u043f\u0442 \u0435\u0451 \u0441\u043e\u0437\u0434\u0430\u0441\u0442.\n- **\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0435 \u0432\u0438\u0434\u0435\u043e**: \u0410\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u043e \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0439 \u0432\u0435\u0440\u0441\u0438\u0438, \u0432\u0438\u0434\u0435\u043e \u0437\u0430\u0433\u0440\u0443\u0436\u0430\u044e\u0442\u0441\u044f, \u0438 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u043e\u0433\u0440\u0435\u0441\u0441 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438.\n  \n### \u041a\u0430\u043a \u0435\u0433\u043e \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c:\n- \u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u044d\u0442\u043e\u0442 \u043a\u043e\u0434 \u0432 \u0444\u0430\u0439\u043b, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, `download_shorts.py`.\n- \u0417\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u0435 \u0444\u0430\u0439\u043b \u0438\u0437 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u043b\u0430 \u0438\u043b\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438:\n  ```bash\n  python download_shorts.py\n  ```\n- \u0421\u043b\u0435\u0434\u0443\u0439\u0442\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u044f\u043c \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u0438, \u0432\u0432\u043e\u0434\u044f URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u043f\u0443\u0442\u044c \u043a \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e.\n\n\u042d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u0440\u043e\u0446\u0435\u0441\u0441 \u0431\u043e\u043b\u0435\u0435 \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u044b\u043c \u0438 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044e \u0432\u044b\u0431\u0438\u0440\u0430\u0442\u044c \u043a\u0430\u043d\u0430\u043b \u0438 \u043c\u0435\u0441\u0442\u043e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0441\u043a\u0430\u0447\u0430\u043d\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e \u043d\u0435\u043f\u043e\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u043f\u0435\u0440\u0435\u0434 \u0438\u0445 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u043e\u0439.","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2326,"n_turns_in_conversation":11,"n_words":268,"source_row_offset":14880,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"41c1d0ea476b141bdbde29cd","turn_index":6,"user_text":"\u0441\u0434\u0435\u043b\u0430\u0439, \u0447\u0442\u043e\u0431\u044b \u0432\u0432\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u043d\u0443\u0436\u043d\u043e \u0431\u044b\u043b\u043e \u0432\u0432\u043e\u0434\u0438\u0442\u044c \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u0438"},{"assistant_initiates":false,"asst_text":"\u0415\u0441\u043b\u0438 `Channel.videos` \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043f\u0443\u0441\u0442\u043e\u0439 \u0441\u043f\u0438\u0441\u043e\u043a, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u0435\u0441\u0442\u044c \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0441 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u043e\u0439 `pytube`, \u0442\u0430\u043a \u043a\u0430\u043a \u0435\u0435 API \u043c\u043e\u0436\u0435\u0442 \u0438\u0437\u043c\u0435\u043d\u044f\u0442\u044c\u0441\u044f \u0438\u043b\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u043d\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0438\u0437-\u0437\u0430 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u043d\u0430 \u0441\u0442\u043e\u0440\u043e\u043d\u0435 YouTube. \u0412\u043e\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0448\u0430\u0433\u043e\u0432 \u0438 \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u043f\u043e\u0434\u0445\u043e\u0434\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u043e\u043f\u0440\u043e\u0431\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u044d\u0442\u043e\u0439 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b:\n\n### 1. \u041e\u0431\u043d\u043e\u0432\u0438\u0442\u0435 pytube\n\u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0432\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u044e\u044e \u0432\u0435\u0440\u0441\u0438\u044e `pytube`, \u0442\u0430\u043a \u043a\u0430\u043a \u0438\u043d\u043e\u0433\u0434\u0430 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f\u043c\u0438 YouTube.\n\n```bash\npip install --upgrade pytube\n```\n\n### 2. \u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 URL\n\u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e URL-\u0430\u0434\u0440\u0435\u0441 \u043a\u0430\u043d\u0430\u043b\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435, \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0439 \u0438 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0432\u0435\u0434\u0435\u0442 \u043d\u0430 \u043a\u0430\u043d\u0430\u043b YouTube.\n\n### 3. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0440\u0430\u0437\u043d\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u0430 \u043a \u0432\u0438\u0434\u0435\u043e\n\u0418\u043d\u043e\u0433\u0434\u0430 \u043f\u0440\u044f\u043c\u043e\u0439 \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0441\u043f\u0438\u0441\u043a\u0443 \u0432\u0438\u0434\u0435\u043e \u043c\u043e\u0436\u0435\u0442 \u043d\u0435 \u0441\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043f\u0440\u043e\u0431\u043e\u0432\u0430\u0442\u044c \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434:\n\n```python\nfrom pytube import Channel, YouTube\nimport os\n\ndef is_short(video):\n    # \u041e\u0431\u044b\u0447\u043d\u043e Shorts \u0438\u043c\u0435\u044e\u0442 \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043d\u0435 \u0431\u043e\u043b\u0435\u0435 60 \u0441\u0435\u043a\u0443\u043d\u0434\n    return video.length <= 60\n\ndef on_progress(stream, chunk, bytes_remaining):\n    total_size = stream.filesize\n    bytes_downloaded = total_size - bytes_remaining \n    percent_complete = bytes_downloaded / total_size * 100\n    print(f'\u0417\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043e: {int(percent_complete)}%', end='\\r')\n\ndef main():\n    # \u0417\u0430\u043f\u0440\u043e\u0441 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\n    channel_url = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 URL \u043a\u0430\u043d\u0430\u043b\u0430: ').strip()\n\n    # \u0417\u0430\u043f\u0440\u043e\u0441 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n    output_path = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e: ').strip()\n\n    # \u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430, \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043b\u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044f, \u0435\u0441\u043b\u0438 \u043d\u0435\u0442, \u0442\u043e \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435\n    if not os.path.exists(output_path):\n        os.makedirs(output_path)\n\n    try:\n        # \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0441\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 \u043a\u0430\u043d\u0430\u043b\n        channel = Channel(channel_url)\n        print(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442 \u0441 \u043a\u0430\u043d\u0430\u043b\u0430: {channel.channel_name}')\n\n        # \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u043f\u0435\u0440\u0435\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n        for url in channel.video_urls:\n            yt = YouTube(url)\n            if is_short(yt):\n                print(f'\u0421\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0435 Short: {yt.title}')\n                yt.register_on_progress_callback(on_progress)\n                stream = yt.streams.get_highest_resolution()\n                stream.download(output_path=output_path)\n\n    except Exception as e:\n        print(f'\u041f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u0430 \u043e\u0448\u0438\u0431\u043a\u0430: {e}')\n    \n    print('\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0430.')\n\nif __name__ == '__main__':\n    main()\n```\n\n### 4. \u041f\u0440\u043e\u0432\u0435\u0440\u044c\u0442\u0435 \u043b\u0438\u043c\u0438\u0442\u044b \u0438 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0438\n\u0418\u043d\u043e\u0433\u0434\u0430 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u043b\u0438\u043c\u0438\u0442\u044b \u043d\u0430 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0438\u043b\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0438 \u0441\u043e \u0441\u0442\u043e\u0440\u043e\u043d\u044b YouTube, \u0435\u0441\u043b\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0441\u043b\u0438\u0448\u043a\u043e\u043c \u043c\u043d\u043e\u0433\u043e. \u041f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u043f\u043e\u0432\u0442\u043e\u0440\u0438\u0442\u044c \u043f\u043e\u043f\u044b\u0442\u043a\u0443 \u0441\u043f\u0443\u0441\u0442\u044f \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f.\n\n### 5. \u0420\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438\n\u0415\u0441\u043b\u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0430 \u0441 `pytube` \u043d\u0435 \u0440\u0435\u0448\u0430\u0435\u0442\u0441\u044f, \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u0440\u0443\u0433\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u0438\u043b\u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 YouTube API, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, `youtube-dl` \u0438\u043b\u0438 `yt-dlp`, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0433\u0443\u0442 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u044b\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u044f, \u0445\u043e\u0442\u044f \u0438\u0445 \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a.\n\n\u041d\u0430\u0434\u0435\u044e\u0441\u044c, \u043e\u0434\u0438\u043d \u0438\u0437 \u044d\u0442\u0438\u0445 \u043f\u043e\u0434\u0445\u043e\u0434\u043e\u0432 \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0432\u0430\u043c \u0440\u0435\u0448\u0438\u0442\u044c \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443!","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2935,"n_turns_in_conversation":11,"n_words":329,"source_row_offset":14881,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"89e03778e97f9bd0307c7d1b","turn_index":7,"user_text":"channel.videos \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043f\u0443\u0441\u0442\u043e\u0439 \u0441\u043f\u0438\u0441\u043e\u043a"},{"assistant_initiates":false,"asst_text":"`youtube-dl` \u2014 \u044d\u0442\u043e \u043c\u043e\u0449\u043d\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438 \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0432\u0438\u0434\u0435\u043e \u0441 YouTube \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c. \u041e\u043d \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a \u0438 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u043c \u0432\u044b\u0431\u043e\u0440\u043e\u043c \u0434\u043b\u044f \u0440\u0430\u0437\u043d\u043e\u043e\u0431\u0440\u0430\u0437\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u043f\u043e \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0435 \u0432\u0438\u0434\u0435\u043e. \u041e\u0434\u043d\u0430\u043a\u043e \u0441\u0442\u043e\u0438\u0442 \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043f\u043b\u0435\u0439\u043b\u0438\u0441\u0442\u043e\u0432 \u0438\u043b\u0438 \u0432\u0438\u0434\u0435\u043e \u0441 \u043a\u0430\u043d\u0430\u043b\u0430 \u043d\u0435\u043f\u043e\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0438 \u0441\u043e\u0431\u043b\u044e\u0434\u0435\u043d\u0438\u0435 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u0439 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b.\n\n\u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440 \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u043d\u0430 Python, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0435\u0433\u043e `youtube-dl` \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 YouTube Shorts \u0438\u0437 \u043a\u0430\u043d\u0430\u043b\u0430. \u041f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0435 `youtube-dl`, \u0435\u0441\u043b\u0438 \u043e\u043d\u0430 \u0435\u0449\u0435 \u043d\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0430:\n\n```bash\npip install youtube-dl\n```\n\n\u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 Python-\u0441\u043a\u0440\u0438\u043f\u0442, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, `download_shorts.py`:\n\n```python\nimport os\nimport subprocess\n\ndef download_youtube_shorts(channel_url, output_path):\n    if not os.path.exists(output_path):\n        os.makedirs(output_path)\n\n    # \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c youtube-dl \u0434\u043b\u044f \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e \u0438\u0437 \u043a\u0430\u043d\u0430\u043b\u0430 \u0441 \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u043c \u043f\u043e \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438\n    try:\n        # \u041a\u043e\u043c\u0430\u043d\u0434\u0430 \u0434\u043b\u044f \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n        command = [\n            'youtube-dl',\n            '--max-filesize', '60M', # \u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u0435 \u043d\u0430 \u0440\u0430\u0437\u043c\u0435\u0440 \u0444\u0430\u0439\u043b\u0430, \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0434\u043b\u044f Shorts\n            '--format', 'bestvideo',\n            '--output', os.path.join(output_path, '%(title)s.%(ext)s'),\n            channel_url\n        ]\n\n        # \u0417\u0430\u043f\u0443\u0441\u043a \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0438 \u0432\u044b\u0432\u043e\u0434 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0430\n        subprocess.run(command, check=True)\n        print('\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0430.')\n\n    except subprocess.CalledProcessError as e:\n        print(f'\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u044b: {e}')\n\ndef main():\n    # \u0417\u0430\u043f\u0440\u043e\u0441 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\n    channel_url = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 URL \u043a\u0430\u043d\u0430\u043b\u0430: ').strip()\n\n    # \u0417\u0430\u043f\u0440\u043e\u0441 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n    output_path = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e: ').strip()\n\n    download_youtube_shorts(channel_url, output_path)\n\nif __name__ == '__main__':\n    main()\n```\n\n### \u041a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442:\n1. **\u0417\u0430\u043f\u0440\u043e\u0441 \u0432\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445**: \u0421\u043a\u0440\u0438\u043f\u0442 \u0437\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u0435\u0442 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e.\n2. **\u041a\u043e\u043c\u0430\u043d\u0434\u0430 `youtube-dl`**: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0432\u0438\u0434\u0435\u043e \u0438\u0437 \u043a\u0430\u043d\u0430\u043b\u0430. \u0410\u0440\u0433\u0443\u043c\u0435\u043d\u0442 `--max-filesize` \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0432\u0430\u0435\u0442 \u0440\u0430\u0437\u043c\u0435\u0440 \u0437\u0430\u0433\u0440\u0443\u0436\u0430\u0435\u043c\u044b\u0445 \u0432\u0438\u0434\u0435\u043e, \u0447\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u0431\u043b\u0438\u0437\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u043c \u0432\u0438\u0434\u0435\u043e (Shorts). \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u044d\u0442\u043e\u0442 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043ec\u0442\u0438.\n3. **\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u0432\u0438\u0434\u0435\u043e**: \u0412\u0438\u0434\u0435\u043e \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u044e\u0442\u0441\u044f \u0432 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0439 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0448\u0430\u0431\u043b\u043e\u043d\u0430 \u0434\u043b\u044f \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f.\n\n### \u0417\u0430\u043f\u0443\u0441\u043a \u0441\u043a\u0440\u0438\u043f\u0442\u0430:\n- \u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u0441\u043a\u0440\u0438\u043f\u0442 \u0438 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u0435 \u0435\u0433\u043e \u0438\u0437 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438:\n  ```bash\n  python download_shorts.py\n  ```\n- \u0421\u043b\u0435\u0434\u0443\u0439\u0442\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u044f\u043c \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u0438, \u0432\u0432\u043e\u0434\u044f URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e.\n\n`youtube-dl` \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432, \u0438 \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \u0434\u043b\u044f \u043b\u0443\u0447\u0448\u0435\u0433\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u044f \u0432\u0430\u0448\u0438\u043c \u043d\u0443\u0436\u0434\u0430\u043c. \u0415\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0442\u044c \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0443 \u0432\u0438\u0434\u0435\u043e \u0442\u043e\u043b\u044c\u043a\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e, \u0442\u0430\u043a\u043e\u0439 \u0444\u0438\u043b\u044c\u0442\u0440 \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0447\u0435\u0440\u0435\u0437 \u0434\u0440\u0443\u0433\u0438\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b \u0438\u043b\u0438 \u0441\u043a\u0440\u0438\u043f\u0442\u044b.","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2843,"n_turns_in_conversation":11,"n_words":319,"source_row_offset":14882,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"dc2e29dcd262e7943462b251","turn_index":8,"user_text":"\u043d\u0430\u043f\u0438\u0448\u0438 \u0441\u043a\u0440\u0438\u043f\u0442 \u0441 youtube-dl"},{"assistant_initiates":false,"asst_text":"\u041e\u0448\u0438\u0431\u043a\u0430 \"Sign in to confirm you're not a bot\" \u043e\u0431\u044b\u0447\u043d\u043e \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 YouTube \u0438\u043b\u0438 Google \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0442 \u043f\u043e\u0434\u043e\u0437\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c, \u0442\u0440\u0435\u0431\u0443\u044e\u0449\u0443\u044e \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0438\u044f \u0432\u0430\u0448\u0435\u0439 \u043b\u0438\u0447\u043d\u043e\u0441\u0442\u0438 \u0432 \u043f\u043e\u043f\u044b\u0442\u043a\u0435 \u0437\u0430\u0449\u0438\u0442\u0438\u0442\u044c \u043e\u0442 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442\u044c, \u043a\u043e\u0433\u0434\u0430 \u0432\u044b:\n\n1. **\u0421\u043e\u0437\u0434\u0430\u0451\u0442\u0435 \u0441\u043b\u0438\u0448\u043a\u043e\u043c \u043c\u043d\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432**: \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u0432\u044b \u043f\u043e\u0441\u044b\u043b\u0430\u0435\u0442\u0435 \u043e\u0447\u0435\u043d\u044c \u043c\u043d\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0437\u0430 \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0439 \u043f\u0440\u043e\u043c\u0435\u0436\u0443\u0442\u043e\u043a \u0432\u0440\u0435\u043c\u0435\u043d\u0438.\n2. **\u0414\u0435\u043b\u0430\u0435\u0442\u0435 \u0441\u043b\u0438\u0448\u043a\u043e\u043c \u043c\u043d\u043e\u0433\u043e \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0439**: \u041f\u043e\u043f\u044b\u0442\u043a\u0430 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0432\u0438\u0434\u0435\u043e \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043f\u0440\u0438\u0447\u0438\u043d\u043e\u0439.\n3. **\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435 \u0443\u0441\u0442\u0430\u0440\u0435\u0432\u0448\u0443\u044e \u0438\u043b\u0438 \u043d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u0443\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443**: \u0418\u043d\u043e\u0433\u0434\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0443\u0441\u0442\u0430\u0440\u0435\u0432\u0448\u0438\u0445 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0438\u0432\u0435\u0441\u0442\u0438 \u043a \u043f\u043e\u0434\u043e\u0431\u043d\u044b\u043c \u043e\u0448\u0438\u0431\u043a\u0430\u043c.\n\n### \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043f\u0443\u0442\u0438 \u0440\u0435\u0448\u0435\u043d\u0438\u044f:\n\n1. **\u0421\u043d\u0438\u0437\u044c\u0442\u0435 \u0447\u0430\u0441\u0442\u043e\u0442\u0443 \u0438 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432**: \u0415\u0441\u043b\u0438 \u0432\u044b \u0434\u0435\u043b\u0430\u0435\u0442\u0435 \u043c\u043d\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043f\u0430\u0443\u0437\u0443 \u043c\u0435\u0436\u0434\u0443 \u043d\u0438\u043c\u0438 \u0438\u043b\u0438 \u0443\u043c\u0435\u043d\u044c\u0448\u0438\u0442\u044c \u0438\u0445 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e. \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0430\u0443\u0437\u0443 \u0432 \u0432\u0430\u0448\u0435\u043c \u0441\u043a\u0440\u0438\u043f\u0442\u0435 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0447\u0430\u0441\u0442\u043e\u0442\u043e\u0439 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e `time.sleep()` \u0432 Python.\n\n2. **\u041e\u0431\u043d\u043e\u0432\u0438\u0442\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b**: \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a `youtube-dl` \u0438\u043b\u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f Python, \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u044b \u0434\u043e \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0445 \u0432\u0435\u0440\u0441\u0438\u0439, \u0442\u0430\u043a \u043a\u0430\u043a \u043e\u043d\u0438 \u043c\u043e\u0433\u0443\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0442\u0430\u043a\u0438\u0445 \u043f\u0440\u043e\u0431\u043b\u0435\u043c.\n\n   ```bash\n   pip install --upgrade youtube-dl\n   ```\n\n3. **\u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 IP-\u0430\u0434\u0440\u0435\u0441\u0430**: \u0415\u0441\u043b\u0438 \u0432\u0430\u0448 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0437\u0430 \u043e\u0431\u0449\u0438\u043c IP-\u0430\u0434\u0440\u0435\u0441\u043e\u043c, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u044d\u0442\u043e\u0442 IP \u0431\u044b\u043b \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0437\u0430\u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u0430\u043d YouTube. \u0418\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u044d\u0442\u043e \u043c\u043e\u0436\u043d\u043e \u043b\u0438\u0448\u044c \u043f\u043e \u043f\u0440\u043e\u0448\u0435\u0441\u0442\u0432\u0438\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0438\u043b\u0438 \u0447\u0435\u0440\u0435\u0437 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0443.\n\n4. **\u041f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d\u0438\u0435 \u0447\u0435\u0440\u0435\u0437 \u0431\u0440\u0430\u0443\u0437\u0435\u0440**: \u0418\u043d\u043e\u0433\u0434\u0430 \u043d\u0443\u0436\u043d\u043e \u043f\u0440\u043e\u0441\u0442\u043e \u043f\u0435\u0440\u0435\u0439\u0442\u0438 \u043d\u0430 YouTube \u0432 \u0432\u0430\u0448\u0435\u043c \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435 \u0438 \u0432\u043e\u0439\u0442\u0438 \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0443, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0434\u0438\u0442\u044c, \u0447\u0442\u043e \u0432\u044b \u043d\u0435 \u0431\u043e\u0442. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043e\u0431\u043b\u0435\u0433\u0447\u0438\u0442\u044c \u0434\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0438\u0435 \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0437\u0430\u043f\u0440\u043e\u0441\u044b \u0441 \u0432\u0430\u0448\u0435\u0439 \u0441\u0442\u043e\u0440\u043e\u043d\u044b.\n\n5. **\u041e\u0436\u0438\u0434\u0430\u043d\u0438\u0435**: \u0412 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u043b\u0443\u0447\u0430\u044f\u0445 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u0430\u044f \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0430 \u0441\u043d\u0438\u043c\u0430\u0435\u0442\u0441\u044f \u0447\u0435\u0440\u0435\u0437 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438.\n\n6. **\u041f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u043a\u0441\u0438**: \u0425\u043e\u0442\u044f \u044d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u043c\u043e\u0447\u044c \u043e\u0431\u043e\u0439\u0442\u0438 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0443, \u043d\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f, \u0442\u0430\u043a \u043a\u0430\u043a \u044d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043d\u0430\u0440\u0443\u0448\u0430\u0442\u044c \u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f YouTube.\n\n7. **\u041f\u0435\u0440\u0435\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u0441\u044c \u043d\u0430 \u0434\u0440\u0443\u0433\u0443\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443**: \u0415\u0441\u043b\u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0430 \u043d\u0435 \u0440\u0435\u0448\u0430\u0435\u0442\u0441\u044f, \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a `yt-dlp`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0444\u043e\u0440\u043a\u043e\u043c `youtube-dl` \u0438 \u043c\u043e\u0436\u0435\u0442 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u043b\u0443\u0447\u0448\u0435 \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u043b\u0443\u0447\u0430\u044f\u0445.\n\n\u041f\u043e\u043c\u043d\u0438\u0442\u0435, \u0447\u0442\u043e \u043b\u044e\u0431\u044b\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u0432\u0435\u0431-\u0441\u0430\u0439\u0442\u0430\u043c\u0438, \u0442\u0430\u043a\u0438\u043c\u0438 \u043a\u0430\u043a YouTube, \u0434\u043e\u043b\u0436\u043d\u044b \u0431\u044b\u0442\u044c \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u044b \u0441 \u0441\u043e\u0431\u043b\u044e\u0434\u0435\u043d\u0438\u0435\u043c \u0438\u0445 \u043f\u0440\u0430\u0432\u0438\u043b \u0438 \u043f\u043e\u043b\u0438\u0442\u0438\u043a\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f.","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2343,"n_turns_in_conversation":11,"n_words":303,"source_row_offset":14883,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"c93b07726eed9895b05eb052","turn_index":9,"user_text":"sign in to confirm you're not a bot \u043e\u0448\u0438\u0431\u043a\u0430"},{"assistant_initiates":false,"asst_text":"`yt-dlp` \u2014 \u044d\u0442\u043e \u0444\u043e\u0440\u043a \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0433\u043e `youtube-dl`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0431\u044b\u0447\u043d\u043e \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0435 \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0432\u0438\u0434\u0435\u043e \u0441 YouTube \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u0441\u0430\u0439\u0442\u043e\u0432. \u0427\u0442\u043e\u0431\u044b \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u043b\u044f \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u044f YouTube Shorts \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c `yt-dlp`, \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434, \u043a\u0430\u043a \u0438 \u0441 `youtube-dl`. \n\n\u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440 \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u043d\u0430 Python, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 `yt-dlp` \u0434\u043b\u044f \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 YouTube Shorts \u0438\u0437 \u043a\u0430\u043d\u0430\u043b\u0430:\n\n1. **\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0435 `yt-dlp`**:\n   \n   ```bash\n   pip install yt-dlp\n   ```\n\n2. **\u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 Python-\u0441\u043a\u0440\u0438\u043f\u0442** (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, `download_shorts.py`):\n\n```python\nimport os\nimport subprocess\n\ndef download_youtube_shorts(channel_url, output_path):\n    if not os.path.exists(output_path):\n        os.makedirs(output_path)\n\n    try:\n        # \u041a\u043e\u043c\u0430\u043d\u0434\u0430 \u0434\u043b\u044f \u0441\u043a\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c yt-dlp\n        command = [\n            'yt-dlp',\n            '--match-filter', 'is_short',  # \u0424\u0438\u043b\u044c\u0442\u0440 \u0434\u043b\u044f \u0432\u044b\u0431\u043e\u0440\u0430 \u0442\u043e\u043b\u044c\u043a\u043e Shorts\n            '--format', 'bestvideo+bestaudio/best',\n            '--merge-output-format', 'mp4',  # \u041e\u0431\u044a\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u0432\u0438\u0434\u0435\u043e \u0438 \u0430\u0443\u0434\u0438\u043e\n            '--output', os.path.join(output_path, '%(title)s.%(ext)s'),\n            channel_url\n        ]\n\n        # \u0417\u0430\u043f\u0443\u0441\u043a \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u0438 \u0432\u044b\u0432\u043e\u0434 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0430\n        subprocess.run(command, check=True)\n        print('\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0437\u0430\u0432\u0435\u0440\u0448\u0435\u043d\u0430.')\n\n    except subprocess.CalledProcessError as e:\n        print(f'\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u044b: {e}')\n\ndef main():\n    # \u0417\u0430\u043f\u0440\u043e\u0441 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\n    channel_url = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 URL \u043a\u0430\u043d\u0430\u043b\u0430: ').strip()\n\n    # \u0417\u0430\u043f\u0440\u043e\u0441 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e\n    output_path = input('\u0412\u0432\u0435\u0434\u0438\u0442\u0435 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u044e \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e: ').strip()\n\n    download_youtube_shorts(channel_url, output_path)\n\nif __name__ == '__main__':\n    main()\n```\n\n### \u041a\u0430\u043a \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442:\n\n- **\u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f Shorts**: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f `--match-filter is_short` \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0442\u043e\u043b\u044c\u043a\u043e Shorts. \u042d\u0442\u043e \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u0430\u044f \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c `yt-dlp`.\n- **\u041a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044f \u0432\u0438\u0434\u0435\u043e \u0438 \u0430\u0443\u0434\u0438\u043e**: `--merge-output-format 'mp4'` \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0432\u0438\u0434\u0435\u043e \u0438 \u0430\u0443\u0434\u0438\u043e \u0432 \u043e\u0434\u0438\u043d \u0444\u0430\u0439\u043b.\n- **\u0417\u0430\u043f\u0440\u043e\u0441\u044b \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f**: \u0421\u043a\u0440\u0438\u043f\u0442 \u0437\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u0435\u0442 \u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u0432\u0432\u043e\u0434 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440\u0438\u0438 \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e.\n- **`subprocess.run`**: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u044b `yt-dlp` \u0438\u0437 \u0441\u043a\u0440\u0438\u043f\u0442\u0430.\n\n### \u0417\u0430\u043f\u0443\u0441\u043a \u0441\u043a\u0440\u0438\u043f\u0442\u0430:\n\n- \u0421\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u0435 \u043a\u043e\u0434 \u0432 \u0444\u0430\u0439\u043b `download_shorts.py`.\n- \u0412\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0441\u043a\u0440\u0438\u043f\u0442 \u0438\u0437 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438:\n  ```bash\n  python download_shorts.py\n  ```\n- \u0412\u0432\u0435\u0434\u0438\u0442\u0435 URL \u043a\u0430\u043d\u0430\u043b\u0430 \u0438 \u043f\u0443\u0442\u044c \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u043f\u0440\u0438 \u043f\u043e\u044f\u0432\u043b\u0435\u043d\u0438\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0432 \u043a\u043e\u043d\u0441\u043e\u043b\u0438.\n\n\u042d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u0441\u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u0440\u043e\u0446\u0435\u0441\u0441 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0431\u043e\u043b\u0435\u0435 \u043f\u0440\u043e\u0441\u0442\u044b\u043c \u0438 \u0443\u0434\u043e\u0431\u043d\u044b\u043c, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0441\u0440\u0435\u0434\u0441\u0442\u0432 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u0447\u0435\u0440\u0435\u0437 `yt-dlp`.","behavior":"degenerate_repetition","conversation_hash":"5e4e95085397aa2494468b97e9b50377","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2536,"n_turns_in_conversation":11,"n_words":280,"source_row_offset":14884,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:01:54 GMT","turn_id":"0bc9dcaec5e860274b836b4a","turn_index":10,"user_text":"\u043d\u0430\u043f\u0438\u0448\u0438 \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u043b\u044f yt-dip"},{"assistant_initiates":false,"asst_text":"Hello! How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"1bc275c623028143cd1d5e570fb44bbd","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Sotho","model":"gpt-4o-mini-2024-07-18","n_chars":40,"n_turns_in_conversation":1,"n_words":8,"source_row_offset":14885,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:02:01 GMT","turn_id":"cb830d989ee8acca8c77a288","turn_index":0,"user_text":"hello"},{"assistant_initiates":false,"asst_text":"There are several methods to compare audio sound waves for similarity, each with its own advantages and applications. Here are some common approaches:\n\n1. **Waveform Analysis**: \n   - Compare the raw waveforms of the audio signals. This method is straightforward but sensitive to time misalignment, amplitude differences, and noise.\n\n2. **Spectral Analysis**:\n   - **Fourier Transform**: Convert audio signals into their frequency components using the Fourier Transform, specifically the Short-Time Fourier Transform (STFT). Compare the resulting spectrograms for similarity.\n   - **Mel-Frequency Cepstral Coefficients (MFCCs)**: Extract MFCCs, which represent the short-term power spectrum of audio, and compare these coefficients. This is particularly useful in speech and music recognition.\n\n3. **Cross-Correlation**:\n   - Measure the similarity between two signals as a function of the time-lag applied to one of them. This can help identify time shifts or delays.\n\n4. **Dynamic Time Warping (DTW)**:\n   - An algorithm for measuring similarity between two temporal sequences, which may vary in speed. It aligns the sequences in a non-linear way to minimize the distance between them.\n\n5. **Cosine Similarity**:\n   - Treat the audio feature vectors (e.g., MFCCs) as high-dimensional vectors and calculate the cosine similarity to measure the angle between them.\n\n6. **Euclidean Distance**:\n   - Calculate the Euclidean distance between feature vectors (like MFCCs or spectrogram representations) to gauge similarity.\n\n7. **Perceptual Hashing**:\n   - Generate a compact fingerprint of the audio content that captures its perceptual qualities. Compare hashes for similarity.\n\n8. **Machine Learning Methods**:\n   - Train models like Siamese networks or Convolutional Neural Networks (CNNs) to learn and predict similarity between audio pairs.\n\n9. **Hidden Markov Models (HMMs)**:\n   - Used in speech recognition, HMMs model the probabilistic structure of audio sequences to compare and find similarities.\n\n10. **Cepstrum Analysis**:\n    - Use cepstral coefficients obtained from the inverse Fourier transform of the logarithm of the estimated signal spectrum, for comparing audio signals.\n\nEach of these methods has its own use case depending on the type of audio, the noise levels, and the specific requirements of the comparison task. Often, combinations of these techniques are used to improve robustness and accuracy.","behavior":"degenerate_repetition","conversation_hash":"882a8c558e35de41d2c00259752160ae","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":2487,"n_turns_in_conversation":3,"n_words":353,"source_row_offset":14886,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:02:17 GMT","turn_id":"c56733894b0e5e547334ad2b","turn_index":0,"user_text":"what are the ways to compare to audio sound waves for similarity?"},{"assistant_initiates":false,"asst_text":"If time misalignment, amplitude differences, and noise are considered part of the similarities you're interested in preserving, then you might adjust the methods accordingly to focus on the aspects of sound you wish to highlight as similar. Here are some strategies to help incorporate these elements into your similarity analysis:\n\n1. **Time Misalignment**:\n   - **Dynamic Time Warping (DTW)** or similar techniques can help account for sequences that naturally have time shifts or varying speeds. This can align the audio signals in a non-linear manner, effectively handling misalignment while comparing.\n   - Use time-invariant features or apply methods that can extract characteristics irrespective of temporal shifts.\n\n2. **Amplitude Differences**:\n   - Normalize the amplitude of both signals before comparison if differing amplitudes themselves aren't integral to the characterization.\n   - Use relative features such as spectral shape or envelope that are less dependent on absolute amplitude.\n\n3. **Noise Robustness**:\n   - Apply noise reduction or filtering to minimize unwanted noise that isn't part of the inherent similarity before analysis. This helps to focus on the relevant audio features.\n   - Use noise-resistant features like MFCCs, which capture the shape of the sound spectrum more than its raw form, making them resilient to certain levels of noise. \n\n4. **Feature Extraction and Matching**:\n   - Focus on extracting and comparing high-level features from the audio that capture its essence beyond raw similarities. Techniques such as extracting rhythmic patterns, timbre, or harmonic content can yield higher-level comparisons.\n   - Use robust statistical measures instead of direct waveform comparison, which can accommodate variations naturally.\n\n5. **Machine Learning**:\n   - Train machine learning models to learn what constitutes similarity in your specific context, taking into account aligned and misaligned aspects as well as noise. This could involve feeding labeled examples that have the desired 'similar' properties into models.\n\n6. **Cross-Correlation with Offset Tolerance**:\n   - Use the cross-correlation function with a tolerance for offset to capture patterns in sequences that might be shifted in time.\n\nBy incorporating these techniques, you can effectively treat time misalignments, amplitude differences, and noise not simply as artifacts but as elements that contribute to the pattern of similarity you're trying to capture. These adjustments can be tailored further to meet the specific requirements of your applications such as music analysis, speech comparison, etc.","behavior":"degenerate_repetition","conversation_hash":"882a8c558e35de41d2c00259752160ae","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":2742,"n_turns_in_conversation":3,"n_words":390,"source_row_offset":14887,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:02:17 GMT","turn_id":"947100687dcf18ac899271a9","turn_index":1,"user_text":"naive comparison: \"sensitive to time misalignment, amplitude differences, and noise.\"\nwhat if those are part of similarities?"},{"assistant_initiates":false,"asst_text":"The process described involves using cross-correlation to measure the similarity between two signals while allowing for potential time shifts or delays. This is a powerful technique for identifying how one signal might be a time-shifted version of another, potentially revealing patterns that match even if they are offset in time. Here's a detailed explanation of how this works:\n\n### Cross-Correlation Basics\n\n1. **Definition**: Cross-correlation is a measure of similarity between two signals as a function of the time-lag applied to one of them. Mathematically, for discrete signals \\( f[n] \\) and \\( g[n] \\), the cross-correlation \\( R_{fg}[l] \\) is defined as:\n   \\[\n   R_{fg}[l] = \\sum_{n} f[n] \\cdot g[n+l]\n   \\]\n   where \\( l \\) is the time-lag, and the sum is over the overlap of the signals for each specific \\( l \\).\n\n2. **Purpose**: By varying \\( l \\), the cross-correlation function \\( R_{fg}[l] \\) helps determine if and where the signals are aligned, meaning it can reveal where one signal best matches the other despite any time shift.\n\n### How It Works\n\n1. **Lag Application**: Start with one signal, keep it fixed, and create shifted versions of the other signal by applying various time-lags. For each time-lag, compute the dot product (element-wise multiplication followed by summation) of the fixed and the shifted signal over their overlapping region.\n\n2. **Maximum Correlation**: The point where the cross-correlation function reaches its maximum value indicates the time-lag where the signals are best aligned. This peak suggests that one signal is a time-shifted version of the other, or that a particular pattern within one signal matches with the other one at that lag.\n\n3. **Interpretation**: Analyze the values of the cross-correlation function across the range of lags:\n   - **Peak Location**: The position of the peak tells you the time delay that aligns the signals most closely.\n   - **Peak Height**: The height of the peak gives an indication of the strength of the similarity at that alignment.\n\n4. **Normalization**: Sometimes cross-correlation is normalized to make the values range between -1 and 1, which helps when comparing signals of different energy levels:\n   \\[\n   \\text{normalized } R_{fg}[l] = \\frac{R_{fg}[l]}{\\sqrt{\\sum f[n]^2 \\cdot \\sum g[n+l]^2}}\n   \\]\n\n### Practical Usage\n\n- **Signal Alignment**: Use cross-correlation in audio processing for tasks like audio alignment, where you align recorded tracks that might be slightly out of sync.\n\n- **Echo and Delay Detection**: Helps in identifying echoes or time-delayed copies of signals, often useful in telecommunications.\n\n- **Pattern Matching**: In applications like radar and seismology, cross-correlation helps in detecting patterns or events of interest when their timing is uncertain.\n\nBy implementing cross-correlation, you can effectively compare two signals considering potential time shifts, making it a robust technique for various signal processing tasks involving time-dependent data.","behavior":"degenerate_repetition","conversation_hash":"882a8c558e35de41d2c00259752160ae","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":3172,"n_turns_in_conversation":3,"n_words":483,"source_row_offset":14888,"source_shard":"turns-00052.parquet","timestamp":"Fri, 15 Nov 2024 10:02:17 GMT","turn_id":"0e7975612cf7f4680f199ac5","turn_index":2,"user_text":"\"Measure the similarity between two signals as a function of the time-lag applied to one of them. This can help identify time shifts or delays.\"\nelaborate on how this works"}],"shard":{"index":52,"name":"turns-00052.parquet","rows":53077}}