docs: Fixed docstrings of datasets

doctr/datasets/detection.py

@@ -21,7 +21,7 @@ class DetectionDataset(AbstractDataset):
 
     Example::
         >>> from doctr.datasets import DetectionDataset
-        >>> train_set = DetectionDataset(img_folder=True, label_path="/path/to/labels.json")
+        >>> train_set = DetectionDataset(img_folder="/path/to/images", label_path="/path/to/labels.json")
         >>> img, target = train_set[0]
 
     Args:
@@ -30,6 +30,7 @@ class DetectionDataset(AbstractDataset):
         sample_transforms: composable transformations that will be applied to each image
         rotated_bbox: whether polygons should be considered as rotated bounding box (instead of straight ones)
     """
+
     def __init__(
         self,
         img_folder: str,

doctr/datasets/recognition.py

@@ -18,14 +18,15 @@ class RecognitionDataset(AbstractDataset):
 
     Example::
         >>> from doctr.datasets import RecognitionDataset
-        >>> train_set = RecognitionDataset(img_folder=True, labels_path="/path/to/labels.json")
+        >>> train_set = RecognitionDataset(img_folder="/path/to/images", labels_path="/path/to/labels.json")
         >>> img, target = train_set[0]
 
     Args:
         img_folder: path to the images folder
         labels_path: pathe to the json file containing all labels (character sequences)
         sample_transforms: composable transformations that will be applied to each image
     """
+
     def __init__(
         self,
         img_folder: str,