Update DocLayNet-large.py

DocLayNet-large.py

@@ -72,17 +72,17 @@ def load_image(image_path):
 logger = datasets.logging.get_logger(__name__)
 
 
-class DocLayNetConfig(datasets.BuilderConfig):
-    """BuilderConfig for DocLayNet large"""
+class DocLayNetBuilderConfig(datasets.BuilderConfig):
+    """BuilderConfig for DocLayNet base"""
 
-    def __init__(self, **kwargs):
+    def __init__(self, name, **kwargs):
         """BuilderConfig for DocLayNet large.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
-        super(DocLayNetConfig, self).__init__(**kwargs)
-
+        super().__init__(name, **kwargs)
 
+        
 class DocLayNet(datasets.GeneratorBasedBuilder):
     """
     DocLayNet large is a about 99% of the dataset DocLayNet (more information at https://huggingface.co/datasets/pierreguillou/DocLayNet-large)
@@ -105,12 +105,14 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
     # You will be able to load one or the other configurations in the following list with
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
+    DEFAULT_CONFIG_NAME = "DocLayNet_2022.08_processed_on_2023.01"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    
     BUILDER_CONFIGS = [
-        DocLayNetConfig(name="DocLayNet", version=datasets.Version("1.0.0"), description="DocLayNeT large dataset"),
+        DocLayNetConfig(name=DEFAULT_CONFIG_NAME, version=VERSION, description="DocLayNet large dataset"),
     ]
 
-    #DEFAULT_CONFIG_NAME = "DocLayNet"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-         
+    BUILDER_CONFIG_CLASS = DocLayNetBuilderConfig
+  
     def _info(self):
         
         features = datasets.Features(
@@ -164,10 +166,9 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
 
         archive_path = dl_manager.download_and_extract(_URLs)
-        splits = []
-        for split in self.config.splits:
-            if split == "train":
-                dataset = datasets.SplitGenerator(                
+        
+        return [
+            datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
@@ -175,11 +176,10 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                     "filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/train/"),
                     "filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/train/"),
                     "filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/train/"),
-                    "split": "train",
+                    # "split_key": "train",
                 },
-            )
-            elif split in ["val", "valid", "validation", "dev"]:
-                dataset = datasets.SplitGenerator(
+            ),
+            datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
@@ -187,11 +187,10 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                     "filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/val/"),
                     "filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/val/"),
                     "filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/val/"),
-                    "split": "val",
+                    # "split_key": "validation",
                 },
-            )
-            elif split in ["test"]:
-                dataset = datasets.SplitGenerator(
+            ),
+            datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
@@ -199,16 +198,13 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
                     "filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/test/"),
                     "filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/test/"),
                     "filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/test/"),
-                    "split": "test",
+                    # "split_key": "test"
                 },
-            )
-            else:
-                continue
+            ),
+        ]
 
-            splits.append(dataset)
-        return splits
 
-    def _generate_examples(self, filepath_0, filepath_1, filepath_2, filepath_3, split):
+    def _generate_examples(self, filepath_0, filepath_1, filepath_2, filepath_3):
             filepath = (filepath_0, filepath_1, filepath_2, filepath_3)
             logger.info("⏳ Generating examples from = %s", filepath)
             ann_dirs = [os.path.join(filepath_0, "annotations"), os.path.join(filepath_1, "annotations"), os.path.join(filepath_2, "annotations"), os.path.join(filepath_3, "annotations")]