IncompleteRead, ProtocolError and ChunkedEncodingError on task 168297 (dataset 41081)

Running task=oml.tasks.get_task(168297) generates the following error:

---------------------------------------------------------------------------
IncompleteRead                            Traceback (most recent call last)
c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in _error_catcher(self)
    301             try:
--> 302                 yield
    303 

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in read_chunked(self, amt, decode_content)
    600                     break
--> 601                 chunk = self._handle_chunk(amt)
    602                 decoded = self._decode(chunk, decode_content=decode_content,

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in _handle_chunk(self, amt)
    566             returned_chunk = self._fp._safe_read(self.chunk_left)
--> 567             self._fp._safe_read(2)  # Toss the CRLF at the end of the chunk.
    568             self.chunk_left = None

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\http\client.py in _safe_read(self, amt)
    613             if not chunk:
--> 614                 raise IncompleteRead(b''.join(s), amt)
    615             s.append(chunk)

IncompleteRead: IncompleteRead(0 bytes read, 2 more expected)

During handling of the above exception, another exception occurred:

ProtocolError                             Traceback (most recent call last)
c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\models.py in generate()
    744                 try:
--> 745                     for chunk in self.raw.stream(chunk_size, decode_content=True):
    746                         yield chunk

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in stream(self, amt, decode_content)
    431         if self.chunked and self.supports_chunked_reads():
--> 432             for line in self.read_chunked(amt, decode_content=decode_content):
    433                 yield line

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in read_chunked(self, amt, decode_content)
    625             if self._original_response:
--> 626                 self._original_response.close()

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\contextlib.py in __exit__(self, type, value, traceback)
     99             try:
--> 100                 self.gen.throw(type, value, traceback)
    101                 raise RuntimeError("generator didn't stop after throw()")

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\urllib3\response.py in _error_catcher(self)
    319                 # This includes IncompleteRead.
--> 320                 raise ProtocolError('Connection broken: %r' % e, e)
    321 

ProtocolError: ('Connection broken: IncompleteRead(0 bytes read, 2 more expected)', IncompleteRead(0 bytes read, 2 more expected))

During handling of the above exception, another exception occurred:

ChunkedEncodingError                      Traceback (most recent call last)
<ipython-input-2-c5e38289fce1> in <module>()
      6 #cifar10_task=oml.tasks.get_task(167124)
      7 #cifar10small_task=oml.tasks.get_task(167133)
----> 8 svhn_task=task=oml.tasks.get_task(168297)
      9 #olivettifaces_task=task=oml.tasks.get_task(168299)
     10 #umistfacescropped_task=task=oml.tasks.get_task(168300)

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\tasks\functions.py in get_task(task_id)
    257         except Exception as e:
    258             _remove_task_cache_dir(tid_cache_dir)
--> 259             raise e
    260 
    261     return task

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\tasks\functions.py in get_task(task_id)
    250         try:
    251             task = _get_task_description(task_id)
--> 252             dataset = get_dataset(task.dataset_id)
    253             class_labels = dataset.retrieve_class_labels(task.target_name)
    254             task.class_labels = class_labels

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\datasets\functions.py in get_dataset(dataset_id)
    297         except Exception as e:
    298             _remove_dataset_cache_dir(did_cache_dir)
--> 299             raise e
    300 
    301         dataset = _create_dataset_from_description(

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\datasets\functions.py in get_dataset(dataset_id)
    292         try:
    293             description = _get_dataset_description(did_cache_dir, dataset_id)
--> 294             arff_file = _get_dataset_arff(did_cache_dir, description)
    295             features = _get_dataset_features(did_cache_dir, dataset_id)
    296             qualities = _get_dataset_qualities(did_cache_dir, dataset_id)

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\datasets\functions.py in _get_dataset_arff(did_cache_dir, description)
    380 
    381     url = description['oml:url']
--> 382     arff_string = _read_url(url)
    383     md5 = hashlib.md5()
    384     md5.update(arff_string.encode('utf8'))

D:\irfan\kuliah\TUE\Q7\thesis\openml-python\openml\_api_calls.py in _read_url(url, data)
    111     if len(data) == 0 or (len(data) == 1 and 'api_key' in data):
    112         # do a GET
--> 113         response = requests.get(url, params=data)
    114     else: # an actual post request
    115         # Using requests.post sets header 'Accept-encoding' automatically to

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\api.py in get(url, params, **kwargs)
     70 
     71     kwargs.setdefault('allow_redirects', True)
---> 72     return request('get', url, params=params, **kwargs)
     73 
     74 

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\api.py in request(method, url, **kwargs)
     56     # cases, and look like a memory leak in others.
     57     with sessions.Session() as session:
---> 58         return session.request(method=method, url=url, **kwargs)
     59 
     60 

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\sessions.py in request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
    506         }
    507         send_kwargs.update(settings)
--> 508         resp = self.send(prep, **send_kwargs)
    509 
    510         return resp

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\sessions.py in send(self, request, **kwargs)
    656 
    657         if not stream:
--> 658             r.content
    659 
    660         return r

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\models.py in content(self)
    821                 self._content = None
    822             else:
--> 823                 self._content = bytes().join(self.iter_content(CONTENT_CHUNK_SIZE)) or bytes()
    824 
    825         self._content_consumed = True

c:\users\illia\appdata\local\conda\conda\envs\tensorflow-gpu\lib\site-packages\requests\models.py in generate()
    746                         yield chunk
    747                 except ProtocolError as e:
--> 748                     raise ChunkedEncodingError(e)
    749                 except DecodeError as e:
    750                     raise ContentDecodingError(e)

ChunkedEncodingError: ('Connection broken: IncompleteRead(0 bytes read, 2 more expected)', IncompleteRead(0 bytes read, 2 more expected))

Reproduce oml.tasks.get_task(168297) and trace the failure through openml/tasks/functions.py, openml/datasets/functions.py, and openml/_api_calls.py, especially _get_dataset_arff and _read_url. Determine whether the incomplete dataset download is handled by the client or depends on the remote response; done means the failure behavior or recovery path is reproducible and verified for this task.