RuntimeError when running create_expected_output.sh without Docker

[MshGhazale]

I am trying to run the code without using Docker, and when executing the create_expected_output.sh script, I encounter the following error:

`
Please cite the following paper when using nnU-Net:
Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J., & Maier-Hein, K. H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 18(2), 203-211.
#######################################################################

Traceback (most recent call last):
File "/source_path/my-envs/autoPETIII_nnunet/bin/nnUNetv2_predict", line 8, in
sys.exit(predict_entry_point())
File "/source_path/my-envs/autoPETIII_nnunet/lib/python3.10/site-packages/nnunetv2/inference/predict_from_raw_data.py", line 828, in predict_entry_point
model_folder = get_output_folder(args.d, args.tr, args.p, args.c)
File "/source_path/my-envs/autoPETIII_nnunet/lib/python3.10/site-packages/nnunetv2/utilities/file_path_utilities.py", line 22, in get_output_folder
tmp = join(nnUNet_results, maybe_convert_to_dataset_name(dataset_name_or_id),
File "/source_path/my-envs/autoPETIII_nnunet/lib/python3.10/site-packages/nnunetv2/utilities/dataset_name_id_conversion.py", line 74, in maybe_convert_to_dataset_name
return convert_id_to_dataset_name(dataset_name_or_id)
File "/source_path/my-envs/autoPETIII_nnunet/lib/python3.10/site-packages/nnunetv2/utilities/dataset_name_id_conversion.py", line 48, in convert_id_to_dataset_name
raise RuntimeError(f"Could not find a dataset with the ID {dataset_id}. Make sure the requested dataset ID "
`

The full error message suggests that the dataset with ID 42 could not be found. The error suggests checking if the dataset ID exists and ensuring that nnU-Net knows where the raw and preprocessed data are located.

Here are the currently defined directories:
nnUNet_preprocessed=/source_path/Autopet/autoPETIII_nnunet/autoPETIII/test nnUNet_results=/source_path/Autopet/autoPETIII_nnunet/autoPETIII/nnunet_baseline/nnUNet_results nnUNet_raw=/source_path/Autopet/autoPETIII_nnunet/autoPETIII/test
I would appreciate your guidance on how to fix this issue. Could you please suggest where I might have gone wrong, or if there is any additional setup that needs to be done?

Thank you for your help!