Upload indo_law.py with huggingface_hub
Browse files- indo_law.py +12 -12
indo_law.py
CHANGED
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@@ -1,14 +1,14 @@
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import os
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from pathlib import Path
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from typing import Dict, List, Tuple
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from
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from
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import datasets
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import json
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import xml.etree.ElementTree as ET
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from
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_CITATION = """\
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@article{nuranti2022predicting,
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@@ -46,28 +46,28 @@ _SUPPORTED_TASKS = [Tasks.LEGAL_CLASSIFICATION]
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_SOURCE_VERSION = "1.0.0"
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-
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class IndoLaw(datasets.GeneratorBasedBuilder):
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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-
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_LABELS = ["pidana-khusus", "pidana-umum"]
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BUILDER_CONFIGS = [
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-
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name="indo_law_source",
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version=SOURCE_VERSION,
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description="Indo-Law source schema",
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schema="source",
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subset_id="indo_law",
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),
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name="
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version=
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description="Indo-Law Nusantara schema",
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schema="
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subset_id="indo_law",
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),
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]
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@@ -89,7 +89,7 @@ class IndoLaw(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.text_features(self._LABELS)
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return datasets.DatasetInfo(
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@@ -142,7 +142,7 @@ class IndoLaw(datasets.GeneratorBasedBuilder):
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yield key, example
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key+=1
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elif self.config.schema == "
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key = 0
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for result in results:
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example = {
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import os
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from pathlib import Path
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from typing import Dict, List, Tuple
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from seacrowd.utils.constants import Tasks
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from seacrowd.utils import schemas
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import datasets
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import json
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import xml.etree.ElementTree as ET
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from seacrowd.utils.configs import SEACrowdConfig
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_CITATION = """\
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@article{nuranti2022predicting,
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class IndoLaw(datasets.GeneratorBasedBuilder):
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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_LABELS = ["pidana-khusus", "pidana-umum"]
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="indo_law_source",
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version=SOURCE_VERSION,
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description="Indo-Law source schema",
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schema="source",
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subset_id="indo_law",
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),
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SEACrowdConfig(
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name="indo_law_seacrowd_text",
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version=SEACROWD_VERSION,
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description="Indo-Law Nusantara schema",
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schema="seacrowd_text",
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subset_id="indo_law",
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),
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]
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}
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)
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elif self.config.schema == "seacrowd_text":
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features = schemas.text_features(self._LABELS)
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return datasets.DatasetInfo(
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yield key, example
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key+=1
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elif self.config.schema == "seacrowd_text":
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key = 0
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for result in results:
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example = {
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