<transcript><audio_71>face at work and uh in this case like due to computationality so i am just creating a mock data like you know fake data because yeah we can't share the data that we have so for the rest of um my talk today</transcript><transcript><audio_72>uh i'll be using jupiter to go through the code okay so jupiter notebook is like a very friendly ui and um yeah if you go to the drive later on uh there's like a html format as well</transcript><transcript><audio_73>yeah so mainly um if you if you just run through you can see like uh all the different commands uh structured um tied to the the task number that i have gone through just now uh in my presentation okay so very</transcript><transcript><audio_74>easily like you can see after you run um the python code then um the output will show you exactly you know like what are the column names that you have in each</transcript> face at work and uh in this case like due to computationality so i am just creating a mock data like you know fake data because yeah we can't share the data that we have so for the rest of um my talk today uh i'll be using jupiter to go through the code okay so jupiter notebook is like a very friendly ui and um yeah if you go to the drive later on uh there's like a html format as well yeah so mainly um if you if you just run through you can see like uh all the different commands uh structured um tied to the the task number that i have gone through just now uh in my presentation okay so very easily like you can see after you run um the python code then um the output will show you exactly you know like what are the column names that you have in each
{"source": "grass-yt-cc-by.-Vlqwtbg1wg|shard_10024_31|create_multimodal_data.extract_yt_and_generate_transcripts.35|shard_10024|create_multimodal_data.generate_captions.17|shard_10024|create_multimodal_data.generate_captions.26", "params": {"id": "-Vlqwtbg1wg", "channel_id": "UC98CzaYuFNAA_gOINFB0e4Q", "duration": 1517, "view_count": 482, "age_limit": 0, "chapters": [{"start_time": 0.0, "title": "Intro", "end_time": 20.0}, {"start_time": 20.0, "title": "Welcome", "end_time": 270.0}, {"start_time": 270.0, "title": "High Level Overview", "end_time": 583.0}, {"start_time": 583.0, "title": "Complex Transformations", "end_time": 750.0}, {"start_time": 750.0, "title": "Context", "end_time": 855.0}, {"start_time": 855.0, "title": "Materials", "end_time": 870.0}, {"start_time": 870.0, "title": "Libraries", "end_time": 922.0}, {"start_time": 922.0, "title": "Mock Data", "end_time": 929.0}, {"start_time": 929.0, "title": "Preview Data", "end_time": 951.0}, {"start_time": 951.0, "title": "Viewability Matrix", "end_time": 1021.0}, {"start_time": 1021.0, "title": "Fake Data", "end_time": 1033.0}, {"start_time": 1033.0, "title": "Jupyter", "end_time": 1517}], "like_count": 9, "channel_follower_count": 33300, "license": "Creative Commons Attribution license (reuse allowed)", "uploader_id": "@EuroPythonConference", "yt_tar_file": "/leonardo_work/EUHPC_E03_068/audio/fixed_download/grass-yt-cc-by//shard_10024/-Vlqwtbg1wg.tar.gz"}}