# EMNIST in torchvision.datasets returning "HTTP Error 503: Service Unavailable"

**URL:** <https://discuss.pytorch.org/t/emnist-in-torchvision-datasets-returning-http-error-503-service-unavailable/61177>\
**Category:** vision\
**Created:** [November 16, 2019, 12:00pm UTC](https://discuss.pytorch.org/t/emnist-in-torchvision-datasets-returning-http-error-503-service-unavailable/61177 "2019-11-16T12:00:08Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![AghiadHaloul](https://discuss.pytorch.org/letter_avatar_proxy/v4/letter/a/eb8c5e/32.png) [@AghiadHaloul](https://discuss.pytorch.org/u/AghiadHaloul)\
**Post date:** [November 16, 2019, 12:00pm UTC](https://discuss.pytorch.org/t/emnist-in-torchvision-datasets-returning-http-error-503-service-unavailable/61177/1 "2019-11-16T12:00:08Z")

</div>

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
> 
> ```

```auto
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

---

<div class="post-metadata">

**Author:** ![Tony-Y](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/tony-y/32/8373_2.png) [@Tony-Y](https://discuss.pytorch.org/u/Tony-Y)\
**Post date:** [November 16, 2019, 3:56pm UTC](https://discuss.pytorch.org/t/emnist-in-torchvision-datasets-returning-http-error-503-service-unavailable/61177/2 "2019-11-16T15:56:57Z")

</div>

URL is wrong. Try [download.py](https://github.com/Tony-Y/pytorch_warmup/blob/master/examples/emnist/download.py)