Create SnowWaterEquivalent_trainingdata.py

SnowWaterEquivalent_trainingdata.py

@@ -0,0 +1,79 @@
+import json
+import datasets
+
+class SnowWaterEquivalentDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="default",
+            version=VERSION,
+            description="Default configuration for the SWE dataset."
+        )
+    ]
+
+    DEFAULT_CONFIG_NAME = "default"
+
+    _URL = "https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata"  
+    _URLS = {
+        "train": _URL + "training_data.csv",
+    }
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Snow Water Equivalent dataset for climate and hydrological analysis.",
+            features=datasets.Features({ # load the features based on requirements
+                "date": datasets.Value("string"),
+                "lat": datasets.Value("float64"),
+                "lon": datasets.Value("float64"),
+                "SWE": datasets.Value("float64"),
+                "air_temperature_tmmn": datasets.Value("float64"),
+                "precipitation_amount": datasets.Value("float64"),
+                "relative_humidity_rmax": datasets.Value("float64"),
+                "relative_humidity_rmin": datasets.Value("float64"),
+                "wind_speed": datasets.Value("float64"),
+                "fsca": datasets.Value("float64"),
+                "cumulative_SWE": datasets.Value("float64"),
+                "station_name": datasets.Value("string"),
+                "Elevation": datasets.Value("float64"),
+            }),
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata",
+            citation="""@misc {geoweaver_2025,
+                        author       = { {Geoweaver} },
+                        title        = { SnowWaterEquivalent_trainingdata},
+                        year         = 2025,
+                        url          = { https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata },
+                        doi          = { 10.57967/hf/4179 },
+                        publisher    = { Hugging Face }
+                    }""",
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        downloaded_files = dl_manager.download_and_extract(self._URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": downloaded_files["train"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, "r", encoding="utf-8") as f:
+        reader = csv.DictReader(f)
+        for idx, row in enumerate(reader):
+            yield idx, row
+            yield idx, {
+                "date": data["date"],
+                "lat": data["lat"],
+                "lon": data["lon"],
+                "SWE": data.get("SWE", None),
+                "air_temperature_tmmn": data.get("air_temperature_tmmn", None),
+                "precipitation_amount": data.get("precipitation_amount", None),
+                "relative_humidity_rmax": data.get("relative_humidity_rmax", None),
+                "relative_humidity_rmin": data.get("relative_humidity_rmin", None),
+                "wind_speed": data.get("wind_speed", None),
+                "fsca": data.get("fsca", None),
+                "cumulative_SWE": data.get("cumulative_SWE", None),
+                "station_name": data.get("station_name", "Unknown"),
+                "Elevation": data.get("Elevation", None),
+            }