Create dataset.py

dataset.py

@@ -0,0 +1,63 @@
+import os
+import pyarrow.parquet as pq
+import datasets
+import pandas as pd
+import numpy as np
+import io
+
+class WyvernEOConfig(datasets.BuilderConfig):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+class WyvernEO(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        WyvernEOConfig(name="default", version=datasets.Version("1.0.0"), description="Wyvern EO imagery with masks")
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Wyvern dataset at 2400m tiles with imagery and quality masks.",
+            features=datasets.Features({
+                "tile_id": datasets.Value("string"),
+                "scene_id": datasets.Value("string"),
+                "start_datetime": datasets.Value("timestamp[us]"),
+                "end_datetime": datasets.Value("timestamp[us]"),
+                "image": datasets.Value("binary"),
+                "data_mask": datasets.Value("binary"),
+                "pixel_quality_mask": datasets.Value("binary"),
+                "shape": [datasets.Value("int32")],
+            }),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        # Define relative path inside the repo
+        parquet_dir = "datasets_EO/Wyvern/grid_2400m"
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"folder_path": parquet_dir},
+            )
+        ]
+
+    def _generate_examples(self, folder_path):
+        idx = 0
+        for fname in sorted(os.listdir(folder_path)):
+            if fname.endswith(".parquet"):
+                fpath = os.path.join(folder_path, fname)
+                table = pq.read_table(fpath)
+                df = table.to_pandas()
+                for _, row in df.iterrows():
+                    yield idx, {
+                        "tile_id": row["tile_id"],
+                        "scene_id": row["scene_id"],
+                        "start_datetime": row["start_datetime"],
+                        "end_datetime": row["end_datetime"],
+                        "image": row["image"],
+                        "data_mask": row["data_mask"],
+                        "pixel_quality_mask": row["pixel_quality_mask"],
+                        "shape": row["shape"],
+                    }
+                    idx += 1