remove error dollar symbol in readme

README.md

@@ -11,9 +11,9 @@ A neural architecture search algorithm for volumetric (3D) segmentation of the p
 ![image](https://developer.download.nvidia.com/assets/Clara/Images/clara_pt_net_arch_search_segmentation_workflow_4-1.png)
 
 ## Data
-The training dataset is the Panceas Task from the Medical Segmentation Decathalon. Users can find more details on the datasets at http://medicaldecathlon.com/.
+The training dataset is the Pancreas Task from the Medical Segmentation Decathalon. Users can find more details on the datasets at http://medicaldecathlon.com/.
 
-- Target: Liver and tumour
+- Target: Pancreas and pancreatic tumor
 - Modality: Portal venous phase CT
 - Size: 420 3D volumes (282 Training +139 Testing)
 - Source: Memorial Sloan Kettering Cancer Center
@@ -68,7 +68,7 @@ Three channels
 
 ### Memory Consumption Warning
 
-If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
+If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range [0, 1] to minimize the System RAM requirements.
 
 ## Performance
 Dice score is used for evaluating the performance of the model. This model achieves a mean dice score of 0.62.
@@ -114,6 +114,12 @@ torchrun --nnodes=1 --nproc_per_node=8 -m scripts.search run --config_file confi
 python -m monai.bundle run --config_file configs/train.yaml
 ```
 
+Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
+
+```
+python -m monai.bundle run --config_file configs/train.yaml --dataset_dir <actual dataset path>
+```
+
 #### Override the `train` config to execute multi-GPU training:
 
 ```

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": "0.3.9",
+    "version": "0.4.0",
     "changelog": {
+        "0.4.0": "remove error dollar symbol in readme",
         "0.3.9": "add cpu ram requirement in readme",
         "0.3.8": "add non-deterministic note",
         "0.3.7": "re-train model with updated dints implementation",
@@ -17,7 +18,7 @@
         "0.1.0": "complete the model package",
         "0.0.1": "initialize the model package structure"
     },
-    "monai_version": "1.2.0rc4",
+    "monai_version": "1.2.0rc6",
     "pytorch_version": "1.13.1",
     "numpy_version": "1.22.2",
     "optional_packages_version": {

docs/README.md

@@ -4,9 +4,9 @@ A neural architecture search algorithm for volumetric (3D) segmentation of the p
 ![image](https://developer.download.nvidia.com/assets/Clara/Images/clara_pt_net_arch_search_segmentation_workflow_4-1.png)
 
 ## Data
-The training dataset is the Panceas Task from the Medical Segmentation Decathalon. Users can find more details on the datasets at http://medicaldecathlon.com/.
+The training dataset is the Pancreas Task from the Medical Segmentation Decathalon. Users can find more details on the datasets at http://medicaldecathlon.com/.
 
-- Target: Liver and tumour
+- Target: Pancreas and pancreatic tumor
 - Modality: Portal venous phase CT
 - Size: 420 3D volumes (282 Training +139 Testing)
 - Source: Memorial Sloan Kettering Cancer Center
@@ -61,7 +61,7 @@ Three channels
 
 ### Memory Consumption Warning
 
-If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range $(0, 1)$ to minimize the System RAM requirements.
+If you face memory issues with CacheDataset, you can either switch to a regular Dataset class or lower the caching rate `cache_rate` in the configurations within range [0, 1] to minimize the System RAM requirements.
 
 ## Performance
 Dice score is used for evaluating the performance of the model. This model achieves a mean dice score of 0.62.
@@ -107,6 +107,12 @@ torchrun --nnodes=1 --nproc_per_node=8 -m scripts.search run --config_file confi
 python -m monai.bundle run --config_file configs/train.yaml
 ```
 
+Please note that if the default dataset path is not modified with the actual path in the bundle config files, you can also override it by using `--dataset_dir`:
+
+```
+python -m monai.bundle run --config_file configs/train.yaml --dataset_dir <actual dataset path>
+```
+
 #### Override the `train` config to execute multi-GPU training:
 
 ```