C1-W2 dataset issue

[mertcanozdemir]

The dataset in C1-W2 is not included in raw file

[AayushSameerShah]

Yeah, it gives the following:

Cloning into 'E:\GitHub Projects\coursera-deep-learning-specialization'...
remote: Enumerating objects: 1530, done.        
remote: Counting objects: 100% (307/307), done.        
remote: Compressing objects: 100% (171/171), done.        
remote: Total 1530 (delta 173), reused 136 (delta 136), pack-reused 1223 (from 3)        
Receiving objects: 100% (1530/1530), 209.86 MiB | 6.19 MiB/s, done.
Resolving deltas: 100% (261/261), done.
Updating files: 100% (1055/1055), done.
Downloading C1 - Neural Networks and Deep Learning/Week 2/Logistic Regression as a Neural Network/datasets/test_catvnoncat.h5 (617 KB)
Error downloading object: C1 - Neural Networks and Deep Learning/Week 2/Logistic Regression as a Neural Network/datasets/test_catvnoncat.h5 (6a9d39c): Smudge error: Error downloading C1 - Neural Networks and Deep Learning/Week 2/Logistic Regression as a Neural Network/datasets/test_catvnoncat.h5 (6a9d39ce52fa85953c5834695b8534a30ed8cfd54971fb2f080b5a24d002b951): batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.

Errors logged to 'E:\GitHub Projects\coursera-deep-learning-specialization\.git\lfs\logs\20250212T071433.379082.log'.
Use `git lfs logs last` to view the log.
error: external filter 'git-lfs filter-process' failed
fatal: C1 - Neural Networks and Deep Learning/Week 2/Logistic Regression as a Neural Network/datasets/test_catvnoncat.h5: smudge filter lfs failed
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry with 'git restore --source=HEAD :/'


Would you like to retry cloning ?

Which is:

This error means that the repository you are trying to clone uses Git LFS (Large File Storage) for some files, and the account that owns the repo has exceeded its LFS bandwidth quota. Specifically, the file test_catvnoncat.h5 (a dataset file) could not be downloaded because the Git LFS quota for the repository has run out.

🔗 Refer to this comment: #56 (comment)

It does the job!