In order to be able to offer computational resources for free, Colab needs to maintain the flexibility to adjust usage limits and hardware availability on the fly. Why aren’t resources guaranteed in Colab? Note that "deleting" files or subfolders by moving them to the Trash may not be enough if that doesn't seem to help, make sure to also Empty your Trash.
Again, you can fix this problem by moving directly contained items into sub-folders. Accessing items in any folder containing many items can cause errors like OSError: Input/output error. A similar problem can occur when reading from other folders after a successful drive.mount(). If you encounter this problem, try moving files and folders directly contained in "My Drive" into sub-folders. Repeated attempts may eventually succeed as failed attempts cache partial state locally before timing out. If thousands of items are directly contained in the top-level "My Drive" folder then mounting the drive will likely time out. Google Drive operations can time out when the number of files or subfolders in a folder grows too large. Why does drive.mount() sometimes fail saying "timed out", and why do I/O operations in drive.mount()-mounted folders sometimes fail?
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