Geoweaver commited on
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1 Parent(s): 9dbe2bf

Delete SnowWaterEquivalent_trainingdata.py

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