Delete dataset.py

dataset.py

@@ -1,43 +0,0 @@
-
-import datasets
-import logging
-
-# Configure logging
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.INFO)
-
-class ForestSegmentationDataset(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        logger.info("Defining dataset schema...")
-        return datasets.DatasetInfo(
-            features=datasets.Features({
-                "sample_id": datasets.Value("string"),
-                "image_paths": datasets.Sequence(datasets.Value("string")),
-                "mask": datasets.Value("string"),
-            }),
-        )
-
-    def _split_generators(self, dl_manager):
-        logger.info("Loading sample stream from index.parquet...")
-        sample_stream = dl_manager.iter_parquet("index.parquet")
-        logger.info("Sample stream loaded successfully.")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"samples": sample_stream}
-            )
-        ]
-
-    def _generate_examples(self, samples):
-        logger.info("Starting to generate examples...")
-        for i, sample in enumerate(samples):
-            if i % 1000 == 0:
-                logger.info(f"Processed {i} samples...")
-            try:
-                yield sample["sample_id"], {
-                    "sample_id": sample["sample_id"],
-                    "image_paths": sample["image_paths"],
-                    "mask": sample["mask_path"],
-                }
-            except Exception as e:
-                logger.error(f"Error processing sample {sample.get('sample_id', 'unknown')}: {e}")