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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(233.6, 97%, 32%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EHC%3C/text%3E%3C/svg%3E)
I have a big zip file, I need to unzip it in order to use the files in my notebook
I used this script in my notebook :
import os
import zipfile
local_zip = 'Caltech101.zip'
zip_ref = zipfile.ZipFile(local_zip, 'r')
zip_ref.extractall('Caltech101')
zip_ref.close()
it succeeded (green v in the notebook), but only the first two folders were unzipped.
this file is only 130 MB
I also need to unzip 3 GB zip file
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(214.4, 45%, 30%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EGM%3C/text%3E%3C/svg%3E)
Hi, you should be able to unzip large files. I tried unzipping a file > 3GB and it worked fine. Regarding the scenario you've described, have you tried refreshing the files using the 'refresh' button in AML Notebook portal? Perhaps you need to refresh the list, otherwise, can you share the file type so we can investigate further? Thanks.
I refreshed it, got only the first two categories,
I also tried unzipping from the Azure ML terminal, and it was extremely slow.
The link to the file:
http://www.vision.caltech.edu/Image_Datasets/Caltech101/101_ObjectCategories.tar.gz
(I uploaded a zip version of this dataset)
I also used the dataset option in azure to upload the file
how can I use this dataset (which is a zip file) in my notebook? I know about the convert to image directory module in the designer, but I just need to read the images in my notebook, I don't need a complex flow and I don't want to use the designer
Thanks for following up. Can you please try available public datasets in this dataset repository to determine if you experience the same issue? If you're able to upload other files to Azure ML Notebook and unzip them successfully, then the issue is most likely related to your file content/format.
I'm able to unzip
but it goes very slowly
Slowly for all files or larger files? For large files, it might take more time to unzip.
The 134 MB took about 5 hours
Interesting, I downloaded this sample public dataset (Activity recognition exp.zip) from UCI dataset repository Data Folder. Then I uploaded the file to Azure ML Notebooks. Unzipping it took 75.8 seconds. Can you try the suggested dataset? The file size is a approximately 750MB.
which commands did you use?
I also got the green V after few seconds, but the machine was still unzipping the files in the background
it completed after 5 hours
All files should show up once complete as shown below. I recommend reaching out to Azure Support if you continue to experience issues. Thanks.
