Hello MotionlessCoral18 . I have a few questions that might help us find out why you experience this problem:
Is there any chance you are running the program in offline mode? Is there any other message being logged that might help? The error messages might include Action failed , Failed sending , Retrying, previous request failed , contains illegal schema Are you able to connect to the backend at all from the program you are trying to get the dataset?
Thank you!

Can you try to add the flag
auto_create=Truewhen you call Dataset.get ?

As my clearml server is run using docker, i have no idea where http://clearml.10.68.0.250.nip.io/projects/300ec77013504f51a7f295226c3f7e40/experiments/5418cf58b64f425a9a17fbd4af6cfee8/output/log is exactly stored.

for clearml package i use the 1.4.1.

Hello MotionlessCoral18 ,

Can you please add a log with the failure?

what versions do you have for the clearml packages ?

ClearML results page: http://clearml.10.68.0.250.nip.io/projects/300ec77013504f51a7f295226c3f7e40/experiments/5418cf58b64f425a9a17fbd4af6cfee8/output/log
Traceback (most recent call last):
File "/app/.clearml/venvs-builds/3.8/code/__init__.py", line 287, in <module>
[train_data, test_data, train_loader, test_loader, nb_class] = import_data(root_database, train_path, test_path,
File "/app/.clearml/venvs-builds/3.8/code/__init__.py", line 153, in import_data
root = Dataset.get(
File "/app/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/datasets/dataset.py", line 1153, in get
tasks = Task.get_tasks(
File "/app/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 967, in get_tasks
return cls.__get_tasks(task_ids=task_ids, project_name=project_name, tags=tags,
File "/app/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 3749, in __get_tasks
queried_tasks = cls._query_tasks(
File "/app/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 3817, in _query_tasks
ret_tasks.extend(res.response.tasks)
TypeError: 'NoneType' object is not iterable

But i don't want to create a new dataset, my dataset exists and has already been downloaded by a previous task.