‫So it looks like my file is completely uploaded because this number hasn't gone up in a little while.
‫And now you may notice a little discrepancy between what the file appears to be in size here on my local
‫machine.
‫Seven 24.5 and 6.91.
‫Hmm.
‫But this has 724 495,926 bytes, which equates to that.
‫So there may be a little bit of a discrepancy in terms of how Google Drive stores files compared to
‫locally and how it represents size.
‫But it looks like all of the files have uploaded, which is what we're after.
‫So now we've got our zip file in our dog vision folder on our Google Drive.
‫The next step is to unzip it much like we could locally.
‫So if I just double click here, it's going to expand dog breed, ID, dot, zip.
‫So we'll have a look at what's inside.
‫Beautiful.
‫So this is what we're off to.
‫Try and test sample submission labels.
‫CSV.
‫And this is what Kaggle says it's going to give us.
‫If we were to download the zip labels, sample, submission, test and train, and in labels we have
‫10,222 unique values.
‫Okay, wonderful.
‫So these are the kind of things that we can test to make sure that even if we see a little discrepancy
‫here, we can test once we've got our data in our notebook.
‫How does this line up with Kaggle?
‫So that's what we'll have a look at now.
‫So how do we unzip this in Google Drive?
‫Now, there may be a way we could do it from here, but we're going to see how to do it with code.
‫So let's go unzip.
‫And now remember, these cells here are just like in Jupiter.
‫If we want to run something that's like a on the command line, we can use the bang symbol here or the
‫exclamation mark.
‫So this is going to go unzip and then we give it a file.
‫We need the file path here.
‫I believe you might be able to go copy path.
‫Oh, if you can.
‫That's going to save us some time.
‫Beautiful.
‫We could do that.
‫Or we could just type it out for practice.
‫So you actually don't need content.
‫Little tidbit there.
‫So we can go here.
‫Let's see how we type it at drive, because we've got drive here.
‫Drive.
‫My drive.
‫Don't forget the space.
‫My drive.
‫Yours might be named a little bit different to mine, but this is just what mine looks like.
‫Our target file is this.
‫So your target file will be the same as mine.
‫My drive.
‫And then the project folder is dog vision.
‫So we need to go dog vision.
‫Dog space vision and then dog breed identification.
‫Dot zip.
‫Is that spelt right?
‫I believe so.
‫And then we're going to pass it the tag for destination and then we want to put it in drive.
‫Just the exact same folder.
‫Drive my drive.
‫Dog vision.
‫We just want to unzip it where it leaves.
‫I believe that should be enough.
‫Wonderful.
‫Let's run this so we can hit, shift and enter.
‫Or we could add that little play button, this little play button here.
‫And now we're going to get a big output of messages here because it has to go through and unzip 10,000
‫files.
‫Into dog vision.
‫Now, it may take a little while for this folder to update over here, but we can be sure that it's
‫running by having a look at all this.
‫So say these are all test images.
‫Now, again, this might take a little while.
‫So while this code is running, I'm going to stop this video here and we'll come back in the next one.
‫Once we've unzipped all of our data in the dog vision file, and then we'll have our data ready to be
‫used for our project.
‫Oh, there we go.
‫We've got some updates.
‫So this might take a few minutes to run.
‫Make sure it's fully run before we go into the next segment, because otherwise, if it's not fully
‫run, you'll come into the same mistake I made when trying to work with your data before it had been
‫unzipped.
‫And so you end up working with less files than what Kaggle says there is, and that causes whole bunches
‫of errors down the track.
‫So we'll let this run.
‫It may take a few minutes, but I'll see you in the next video once this is completed and we'll go through
‫what it's unzipped.