modify dataset key name

configs/inference.json

@@ -7,8 +7,8 @@
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "data_list_file_path": "$@bundle_root + '/configs/datalist.json'",
-    "data_file_base_dir": "/workspace/data/medical/brats2018challenge",
-    "test_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='testing', base_dir=@data_file_base_dir)",
+    "dataset_dir": "/workspace/data/medical/brats2018challenge",
+    "test_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='testing', base_dir=@dataset_dir)",
     "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
     "amp": true,
     "network_def": {

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.3.7",
+    "version": "0.3.8",
     "changelog": {
+        "0.3.8": "modify dataset key name",
         "0.3.7": "restructure readme to match updated template",
         "0.3.6": "added train/val graphs",
         "0.3.5": "update prepare datalist function",

configs/train.json

@@ -7,9 +7,9 @@
     "ckpt_dir": "$@bundle_root + '/models'",
     "output_dir": "$@bundle_root + '/eval'",
     "data_list_file_path": "$@bundle_root + '/configs/datalist.json'",
-    "data_file_base_dir": "/workspace/data/medical/brats2018challenge",
-    "train_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='training', base_dir=@data_file_base_dir)",
-    "val_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='validation', base_dir=@data_file_base_dir)",
+    "dataset_dir": "/workspace/data/medical/brats2018challenge",
+    "train_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='training', base_dir=@dataset_dir)",
+    "val_datalist": "$monai.data.load_decathlon_datalist(@data_list_file_path, data_list_key='validation', base_dir=@dataset_dir)",
     "device": "$torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')",
     "epochs": 300,
     "val_interval": 1,