Update NC_Crime.py
Browse files- NC_Crime.py +5 -11
NC_Crime.py
CHANGED
@@ -73,6 +73,7 @@ class NCCrimeDataset(datasets.GeneratorBasedBuilder):
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"clear_status": datasets.Value("string"),
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"incident_address": datasets.Value("string"),
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"notes": datasets.Value("string"),
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}),
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citation=_CITATION,
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)
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@@ -81,19 +82,11 @@ class NCCrimeDataset(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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# Use the raw GitHub link to download the CSV file
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downloaded_file_path = dl_manager.download_and_extract(
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# "https://drive.google.com/uc?export=download&id=1SdnSc-e3OwzfXgpCZVdZuq2Fq9iCrd21"
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# "https://drive.google.com/uc?export=download&id=1C1vwAe4nVTdu6P8lHsmyLbJHUsHfT72h"
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#"https://drive.google.com/uc?export=download&id=1Se-B8Y-SdU0caZzGJyX_0YW44TZwaq3l"
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# "https://raw.githubusercontent.com/znw2024/NC-Crime/main/DCCR.csv"
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"https://raw.githubusercontent.com/zening-wang2023/NC-Crime-Dataset/main/DCCR.csv.zip"
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# "https://raw.githubusercontent.com/zening-wang2023/NC-Crime-Dataset/main/NC_dataset.csv.zip"
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)
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unzipped_file_path = os.path.join(downloaded_file_path, "
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# Return a list of split generators
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": unzipped_file_path})
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@@ -120,4 +113,5 @@ class NCCrimeDataset(datasets.GeneratorBasedBuilder):
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"clear_status": row["clear_status"],
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"incident_address": row["incident_address"],
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"notes": row["notes"],
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}
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"clear_status": datasets.Value("string"),
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"incident_address": datasets.Value("string"),
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"notes": datasets.Value("string"),
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"crime_severity": datastes.Value("string"),
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}),
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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# Use the raw GitHub link to download the CSV file
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downloaded_file_path = dl_manager.download_and_extract(
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+
# "https://raw.githubusercontent.com/zening-wang2023/NC-Crime-Dataset/main/DCCR.csv.zip"
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"https://raw.githubusercontent.com/zening-wang2023/NC-Crime-Dataset/main/NC.csv.zip"
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)
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unzipped_file_path = os.path.join(downloaded_file_path, "NC.csv")
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# Return a list of split generators
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": unzipped_file_path})
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"clear_status": row["clear_status"],
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"incident_address": row["incident_address"],
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"notes": row["notes"],
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"crime_severity": row["crime_severity"],
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}
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