added dataset _generate_examples function

.env

@@ -0,0 +1 @@
+LOCAL_PROJECT_PATH="/home/diego/personal-apps/dates"

dates.py

@@ -21,4 +21,101 @@ _URLs = {
 }
 
 
-logger = datasets.logging.get_logger(__name__)
+logger = datasets.logging.get_logger(__name__)
+
+
+def has_extension(file_path, extensions):
+    _, file_extension = os.path.splitext(file_path)
+    return file_extension.lower() in extensions
+
+
+class ExpirationDate(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.0.1")
+    CATEGORIES = ["day", "month", "year"]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "transcriptions": datasets.Sequence(datasets.Value("string")),
+                "bboxes_block": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
+                "categories": datasets.Sequence(datasets.features.ClassLabel(names=self.CATEGORIES)),
+                "image_path": datasets.Value("string"),
+                "width": datasets.Value("int32"),
+                "height": datasets.Value("int32")
+            }
+        )
+
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # Features/targets of the dataset
+            features=features,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract files
+        # based on the provided URLs
+
+        archive_path = dl_manager.download_and_extract(_URLs)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(archive_path["dates_synth"], "Date-Synth/"),
+                    "split": "train"
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(archive_path["dates_real"], "Date-Real/"),
+                    "split": "test"
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        logger.info(
+            f"⏳ Generating examples from = {filepath} to the split {split}")
+        ann_file = os.path.join(filepath, "annotations.json")
+
+        # get json
+        with open(ann_file, "r", encoding="utf8") as f:
+            features_map = json.load(f)
+
+        img_dir = os.path.join(filepath, "images")
+        img_listdir = os.listdir(img_dir)
+
+        for guid, filename in enumerate(img_listdir):
+            if filename.endswith(".jpg"):
+                image_features = features_map[filename]
+                image_ann = image_features.get("ann")
+
+                transcriptions = [box.get("transcription", "") for box in image_ann]
+                bboxes_block = [box.get("bbox") for box in image_ann]
+                categories = [box.get("cls") if box.get(
+                    "cls") in self.CATEGORIES else "invalid" for box in image_ann]
+
+                # get image
+                image_path = os.path.join(img_dir, filename)
+
+                yield guid, {
+                    "id": filename,
+                    "transcriptions": transcriptions,
+                    "bboxes_block": bboxes_block,
+                    "categories": categories,
+                    "image_path": image_path,
+                    "width": image_features.get("width"),
+                    "height": image_features.get("height"),
+                }

test.py

@@ -0,0 +1,8 @@
+from datasets import load_dataset
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+LOCAL_PROJECT_PATH = os.getenv('LOCAL_PROJECT_PATH')
+ds = load_dataset(LOCAL_PROJECT_PATH, trust_remote_code=True)