I’m trying to load the EMNIST dataset but I keep getting “download failed” for this specific dataset.
Downloading https://cloudstor.aarnet.edu.au/plus/index.php/s/54h3OuGJhFLwAlQ/download to .\data\datasets\EMNIST\EMNIST\raw\emnist.zip Failed download. Trying https -> http instead. Downloading http://cloudstor.aarnet.edu.au/plus/index.php/s/54h3OuGJhFLwAlQ/download to .\data\datasets\EMNIST\EMNIST\raw\emnist.zip ..... raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 503: Service Unavailable
Downloading and extracting zip archive
Downloading https://cloudstor.aarnet.edu.au/plus/index.php/s/54h3OuGJhFLwAlQ/download to .\data\datasets\EMNIST\EMNIST\raw\emnist.zip
Failed download. Trying https -> http instead. Downloading http://cloudstor.aarnet.edu.au/plus/index.php/s/54h3OuGJhFLwAlQ/download to .\data\datasets\EMNIST\EMNIST\raw\emnist.zip
Traceback (most recent call last):
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\utils.py", line 84, in download_url
reporthook=gen_bar_updater()
File "C:\Users\..env_path..\lib\urllib\request.py", line 247, in urlretrieve
with contextlib.closing(urlopen(url, data)) as fp:
File "C:\Users\..env_path..\lib\urllib\request.py", line 222, in urlopen
return opener.open(url, data, timeout)
File "C:\Users\..env_path..\lib\urllib\request.py", line 531, in open
response = meth(req, response)
File "C:\Users\..env_path..\lib\urllib\request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "C:\Users\..env_path..\lib\urllib\request.py", line 569, in error
return self._call_chain(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 503, in _call_chain
result = func(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 649, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 503: Service Unavailable
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:/Users/..repo_path../Dataset.py", line 5, in <module>
class Dataset:
File "C:/Users/..repo_path../Dataset.py", line 65, in Dataset
transforms.ToTensor()
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\mnist.py", line 237, in __init__
super(EMNIST, self).__init__(root, **kwargs)
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\mnist.py", line 68, in __init__
self.download()
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\mnist.py", line 260, in download
remove_finished=True)
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\utils.py", line 248, in download_and_extract_archive
download_url(url, download_root, filename, md5)
File "C:\Users\..env_path..\lib\site-packages\torchvision\datasets\utils.py", line 93, in download_url
reporthook=gen_bar_updater()
File "C:\Users\..env_path..\lib\urllib\request.py", line 247, in urlretrieve
with contextlib.closing(urlopen(url, data)) as fp:
File "C:\Users\..env_path..\lib\urllib\request.py", line 222, in urlopen
return opener.open(url, data, timeout)
File "C:\Users\..env_path..\lib\urllib\request.py", line 531, in open
response = meth(req, response)
File "C:\Users\..env_path..\lib\urllib\request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "C:\Users\..env_path..\lib\urllib\request.py", line 563, in error
result = self._call_chain(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 503, in _call_chain
result = func(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 755, in http_error_302
return self.parent.open(new, timeout=req.timeout)
File "C:\Users\..env_path..\lib\urllib\request.py", line 531, in open
response = meth(req, response)
File "C:\Users\..env_path..\lib\urllib\request.py", line 641, in http_response
'http', request, response, code, msg, hdrs)
File "C:\Users\..env_path..\lib\urllib\request.py", line 569, in error
return self._call_chain(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 503, in _call_chain
result = func(*args)
File "C:\Users\..env_path..\lib\urllib\request.py", line 649, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 503: Service Unavailable
Does the dataset source need updating or is there something I’m doing wrong here?
Thanks