I’ve tried to run my Final Assignment (Cat vs Dogs Saliency Map), but when I try to load a training set with
train_data = tfds.load('cats_vs_dogs', split='train[:80%]', as_supervised=True)
which works fine in Colab, I get this error:
DownloadError: Failed to get url https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip. HTTP code: 404.
I Googled about using tfds for Cats vs Dogs and found TF Documentatiob, which suggested this approach:
ds = tfds.load('huggingface:cats_vs_dogs')
which also doesn’t work. It gives the following error:
ValueError: Parsing builder name string huggingface:cats_vs_dogs failed.
The builder name string must be of the following format:
dataset_name[/config_name][:version][/kwargs]
Where:
* dataset_name and config_name are string following python variable naming.
* version is of the form x.y.z where {x,y,z} can be any digit or *.
* kwargs is a comma list separated of arguments and values to pass to
builder.
Examples:
my_dataset
my_dataset:1.2.*
my_dataset/config1
my_dataset/config1:1.*.*
my_dataset/config1/arg1=val1,arg2=val2
my_dataset/config1:1.2.3/right=True,foo=bar,rate=1.2
Am I correct in believing that my best approach is to download Cats vs. Dogs locally and create a ‘custom’ tfds dataset to handle it? If not, what can I do to run my submission locally?