Upload my_dataset.py

my_dataset.py

@@ -0,0 +1,37 @@
+import json
+
+import datasets
+
+
+datasets.Features(
+    {
+        "img_id": datasets.Image("path"),
+        "anno_polygons": datasets.Sequence(
+            {
+                [
+                    {'category_id': datasets.Value("int32"),
+                     'segmentation': datasets.Sequence(feature=list, ), 
+                     'area': datasets.Value("int64"), 
+                     'bbox': datasets.Sequence('list'), 
+                     'width': datasets.Value('int32'), 
+                     'height': datasets.Value('int32')
+                     },
+                ]
+            }
+        ),
+        "anno_texts": datasets.Value("string"),
+        "anno_labels": datasets.Value("string"),
+        "anno_num": datasets.Value("int32"),
+        "anno_image_quality": datasets.Value("float64")
+    }
+)
+
+
+_URL = ""
+def _split_generators(self, dl_manager):
+
+    return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": ".\mcocr_public_train_test_shared_data\mcocr_train_data"}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": ".\mcocr_public_train_test_shared_data\mcocr_val_data"}),
+        ]
+