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Downloading issue #9
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Hi @chaoqunwangcs, thanks for your feedback. This issue arises when YouTubers delete or make their videos private, thus these video links will be invalid. One solution is to skip these missing videos and we will update the code soon. |
Thanks for your reply. But the issue is not because the YouTubers delete or make their videos private, as the 'yt-dlp' package could successfully download the video. To align with your datasets downloaded by the 'youtube-dl' package, I'd like to ask for the details such as the resolutions and ext, which is about the image quality and dataset scale. |
Hi @chaoqunwangcs could you please give more information about the video that leads to as for resolution and ext, most videos are downloaded at 1080p (720p for those that couldn't find a version at 1080p). As for ext, all videos are either in I'll try to make a download script for |
Thanks for your reply. For the failure case, you can just run the command 'youtube-dl https://www.youtube.com/watch?v=--I-TdCe2_g'(just the first video) with the latest 'youtube-dl' package(install with "pip install youtube-dl"). Besides, many videos have higher resolution such as 2K(3848*2160), do you ever statistic the dataset scale with the highest resolution? |
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hi @chaoqunwangcs. I just update the download script. To download videos using |
Hi @GihhArwtw, I encountered an issue while trying to download videos using
Could you please help me resolve this issue? Any assistance would be greatly appreciated. Thank you! |
Thanks for your reply!!!
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Hi @makolon also, i'll fix the |
hi @makolon i just fix the |
hi @GihhArwtw! |
Thanks for the great job!
I would like to download the YouTube data with the given script, but the download command "youtube-dl -f {args} {url}" is not working, and the error infos is "ERROR: Unable to extract uploader id". Can you provide another downloading script? or are there any questions? A solution is using the 'yt-dlp' package, but I wonder about the downloading args, such as the resolution and ext, which is about the image quality and dataset size.
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