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Created new dataset Uganda 2024 #434

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Created new dataset Uganda 2024 #434

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9d071f7
Created new dataset Uganda 2024
yashgadhiya10 Aug 20, 2025
ecd29e9
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Aug 20, 2025
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33 changes: 33 additions & 0 deletions datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -636,6 +636,38 @@ def load_labels(self) -> pd.DataFrame:
return df


class Uganda_NorthCEO2024(LabeledDataset):
def load_labels(self) -> pd.DataFrame:
raw_folder = raw_dir / "Uganda_North_2024"
df1 = pd.read_csv(
raw_folder
/ "ceo-UNHCR-North-Uganda-Feb-2024---Feb-2025-(Set-1)-sample-data-2025-08-19.csv"
)
df2 = pd.read_csv(
raw_folder
/ "ceo-UNHCR-North-Uganda-Feb-2024---Feb-2025-(Set-2)-sample-data-2025-08-19.csv"
)
df = pd.concat([df1, df2])

# Discard rows with no label
df = df[~df["Does this pixel contain active cropland?"].isna()].copy()
df[CLASS_PROB] = df["Does this pixel contain active cropland?"] == "Crop"
df[CLASS_PROB] = df[CLASS_PROB].astype(int)
df["num_labelers"] = 1
df = df.groupby([LON, LAT], as_index=False, sort=False).agg(
{
CLASS_PROB: "mean",
"num_labelers": "sum",
"plotid": join_unique,
"sampleid": join_unique,
"email": join_unique,
}
)
df[START], df[END] = date(2024, 1, 1), date(2025, 4, 30)
df[SUBSET] = train_val_test_split(df.index, 0.3, 0.3)
return df


class Uganda_NorthCEO2021(LabeledDataset):
def load_labels(self) -> pd.DataFrame:
raw_folder = raw_dir / "Uganda_North_2021"
Expand Down Expand Up @@ -1683,6 +1715,7 @@ def load_labels(self) -> pd.DataFrame:
Uganda_NorthCEO2018(),
UgandaNorthCorLabel2019(),
Uganda_NorthCEO2023(),
Uganda_NorthCEO2024(),
]

if __name__ == "__main__":
Expand Down
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