Delete SnowWaterEquivalent_trainingdata.py
Browse files
SnowWaterEquivalent_trainingdata.py
DELETED
|
@@ -1,79 +0,0 @@
|
|
| 1 |
-
import json
|
| 2 |
-
import datasets
|
| 3 |
-
|
| 4 |
-
class SnowWaterEquivalentDataset(datasets.GeneratorBasedBuilder):
|
| 5 |
-
VERSION = datasets.Version("1.0.0")
|
| 6 |
-
BUILDER_CONFIGS = [
|
| 7 |
-
datasets.BuilderConfig(
|
| 8 |
-
name="default",
|
| 9 |
-
version=VERSION,
|
| 10 |
-
description="Default configuration for the SWE dataset."
|
| 11 |
-
)
|
| 12 |
-
]
|
| 13 |
-
|
| 14 |
-
DEFAULT_CONFIG_NAME = "default"
|
| 15 |
-
|
| 16 |
-
_URL = "https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata"
|
| 17 |
-
_URLS = {
|
| 18 |
-
"train": _URL + "training.csv",
|
| 19 |
-
}
|
| 20 |
-
|
| 21 |
-
def _info(self):
|
| 22 |
-
return datasets.DatasetInfo(
|
| 23 |
-
description="Snow Water Equivalent dataset for climate and hydrological analysis.",
|
| 24 |
-
features=datasets.Features({
|
| 25 |
-
"date": datasets.Value("string"),
|
| 26 |
-
"lat": datasets.Value("float64"),
|
| 27 |
-
"lon": datasets.Value("float64"),
|
| 28 |
-
"SWE": datasets.Value("float64"),
|
| 29 |
-
"air_temperature_tmmn": datasets.Value("float64"),
|
| 30 |
-
"precipitation_amount": datasets.Value("float64"),
|
| 31 |
-
"relative_humidity_rmax": datasets.Value("float64"),
|
| 32 |
-
"relative_humidity_rmin": datasets.Value("float64"),
|
| 33 |
-
"wind_speed": datasets.Value("float64"),
|
| 34 |
-
"fsca": datasets.Value("float64"),
|
| 35 |
-
"cumulative_SWE": datasets.Value("float64"),
|
| 36 |
-
"station_name": datasets.Value("string"),
|
| 37 |
-
"Elevation": datasets.Value("float64"),
|
| 38 |
-
}),
|
| 39 |
-
supervised_keys=None,
|
| 40 |
-
homepage="https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata",
|
| 41 |
-
citation="""@misc {geoweaver_2025,
|
| 42 |
-
author = { {Geoweaver} },
|
| 43 |
-
title = { SnowWaterEquivalent_trainingdata},
|
| 44 |
-
year = 2025,
|
| 45 |
-
url = { https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata },
|
| 46 |
-
doi = { 10.57967/hf/4179 },
|
| 47 |
-
publisher = { Hugging Face }
|
| 48 |
-
}""",
|
| 49 |
-
)
|
| 50 |
-
|
| 51 |
-
def _split_generators(self, dl_manager: datasets.DownloadManager):
|
| 52 |
-
downloaded_files = dl_manager.download_and_extract(self._URLS)
|
| 53 |
-
return [
|
| 54 |
-
datasets.SplitGenerator(
|
| 55 |
-
name=datasets.Split.TRAIN,
|
| 56 |
-
gen_kwargs={"filepath": downloaded_files["train"]},
|
| 57 |
-
),
|
| 58 |
-
]
|
| 59 |
-
|
| 60 |
-
def _generate_examples(self, filepath):
|
| 61 |
-
with open(filepath, "r", encoding="utf-8") as f:
|
| 62 |
-
reader = csv.DictReader(f)
|
| 63 |
-
for idx, row in enumerate(reader):
|
| 64 |
-
yield idx, row
|
| 65 |
-
yield idx, {
|
| 66 |
-
"date": data["date"],
|
| 67 |
-
"lat": data["lat"],
|
| 68 |
-
"lon": data["lon"],
|
| 69 |
-
"SWE": data.get("SWE", None),
|
| 70 |
-
"air_temperature_tmmn": data.get("air_temperature_tmmn", None),
|
| 71 |
-
"precipitation_amount": data.get("precipitation_amount", None),
|
| 72 |
-
"relative_humidity_rmax": data.get("relative_humidity_rmax", None),
|
| 73 |
-
"relative_humidity_rmin": data.get("relative_humidity_rmin", None),
|
| 74 |
-
"wind_speed": data.get("wind_speed", None),
|
| 75 |
-
"fsca": data.get("fsca", None),
|
| 76 |
-
"cumulative_SWE": data.get("cumulative_SWE", None),
|
| 77 |
-
"station_name": data.get("station_name", "Unknown"),
|
| 78 |
-
"Elevation": data.get("Elevation", None),
|
| 79 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|