Fixed yaml lint errors

examples/sagemaker-ground-truth-labeling/image_bounding_box/sagemaker-ground-truth-labeling.yaml

@@ -6,7 +6,7 @@ parameters:
     value: 'plane-and-boat-bounding-box'
   - name: task_type
     value: 'image_bounding_box'
-  
+
   - name: labeling-workteam-arn
     value: 'arn:aws:sagemaker:<region>:<account>:workteam/private-crowd/<workteam_name>'
   - name: labeling-instructions-template-s3-uri
@@ -18,7 +18,7 @@ parameters:
   - name: labeling-task-description
     value: 'Draw bounding boxes around all planes and boats in the image'
   - name: labeling-task-keywords
-    value: [ 'image', 'object', 'detection' ]
+    value: ['image', 'object', 'detection']
 
   - name: verification-workteam-arn
     value: 'arn:aws:sagemaker:<region>:<account>:workteam/private-crowd/<workteam_name>'
@@ -31,4 +31,4 @@ parameters:
   - name: verification-task-description
     value: 'Verify that all of the planes and boats in the image are correctly labeled'
   - name: verification-task-keywords
-    value: ['image', 'object', 'detection', 'label verification', 'bounding boxes']
+    value: ['image', 'object', 'detection', 'label verification', 'bounding boxes']

examples/sagemaker-ground-truth-labeling/image_multi_label_classification/sagemaker-ground-truth-labeling.yaml

@@ -18,4 +18,4 @@ parameters:
   - name: labeling-task-description
     value: 'Classify all images as containing a plane and/or a boat, selecting all of the appropriate labels'
   - name: labeling-task-keywords
-    value: ['image', 'object', 'multi classification']
+    value: ['image', 'object', 'multi classification']

examples/sagemaker-ground-truth-labeling/image_semantic_segmentation/sagemaker-ground-truth-labeling.yaml

@@ -18,8 +18,8 @@ parameters:
   - name: labeling-task-description
     value: 'Fill all planes and boats in the image using the appropriate label'
   - name: labeling-task-keywords
-    value: [ 'image', 'object', 'detection' ]
-    
+    value: ['image', 'object', 'detection']
+
   - name: verification-workteam-arn
     value: 'arn:aws:sagemaker:<region>:<account>:workteam/private-crowd/<workteam_name>'
   - name: verification-instructions-template-s3-uri
@@ -31,4 +31,4 @@ parameters:
   - name: verification-task-description
     value: 'Verify that all of the planes and boats in the image are correctly labeled'
   - name: verification-task-keywords
-    value: ['image', 'object', 'detection', 'label verification', 'semantic segmentation']
+    value: ['image', 'object', 'detection', 'label verification', 'semantic segmentation']

examples/sagemaker-ground-truth-labeling/image_single_label_classification/sagemaker-ground-truth-labeling.yaml

@@ -18,4 +18,4 @@ parameters:
   - name: labeling-task-description
     value: 'Classify all images as containing a plane or a boat using the appropriate label'
   - name: labeling-task-keywords
-    value: ['image', 'object', 'classification']
+    value: ['image', 'object', 'classification']

examples/sagemaker-ground-truth-labeling/named_entity_recognition/sagemaker-ground-truth-labeling.yaml

@@ -16,4 +16,4 @@ parameters:
   - name: labeling-task-description
     value: 'Evaluate all texts and select the identify the entities from the provided values'
   - name: labeling-task-keywords
-    value: [ 'text', 'named entity recognition', 'detection' ]
+    value: ['text', 'named entity recognition', 'detection']

examples/sagemaker-ground-truth-labeling/text_multi_label_classification/sagemaker-ground-truth-labeling.yaml

@@ -18,4 +18,4 @@ parameters:
   - name: labeling-task-description
     value: 'Classify all texts selecting all of the appropriate labels'
   - name: labeling-task-keywords
-    value: ['text', 'multi classification', 'sentiment']
+    value: ['text', 'multi classification', 'sentiment']

examples/sagemaker-ground-truth-labeling/text_single_label_classification/sagemaker-ground-truth-labeling.yaml

@@ -18,4 +18,4 @@ parameters:
   - name: labeling-task-description
     value: 'Classify all texts as either positive, neutral or negative'
   - name: labeling-task-keywords
-    value: ['text', 'classification', 'sentiment']
+    value: ['text', 'classification', 'sentiment']