Upload id_am2ico.py with huggingface_hub
Browse files- id_am2ico.py +11 -11
id_am2ico.py
CHANGED
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@@ -19,9 +19,9 @@ from typing import Dict, List, Tuple
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import datasets
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import pandas as pd
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from
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from
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from
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_CITATION = """\
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@inproceedings{liu-etal-2021-am2ico,
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@@ -71,7 +71,7 @@ _URLS = {
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_SUPPORTED_TASKS = [Tasks.CONCEPT_ALIGNMENT_CLASSIFICATION]
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_SOURCE_VERSION = "1.0.0"
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class NewDataset(datasets.GeneratorBasedBuilder):
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@@ -81,18 +81,18 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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label_classes = ["T", "F"]
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BUILDER_CONFIGS = (
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name="id_am2ico_source",
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version=_SOURCE_VERSION,
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description="Indonesia am2ico source schema",
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schema="source",
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subset_id="id_am2ico",
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),
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name="
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version=
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description="Indonesia am2ico Nusantara schema",
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schema="
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subset_id="id_am2ico",
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),
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)
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@@ -111,7 +111,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.pairs_features(self.label_classes)
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else:
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@@ -173,7 +173,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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}
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yield row.Index, ex
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elif self.config.schema == "
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for row in df.itertuples():
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ex = {
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"id": str(row.Index),
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import datasets
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import pandas as pd
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from seacrowd.utils import schemas
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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_CITATION = """\
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@inproceedings{liu-etal-2021-am2ico,
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_SUPPORTED_TASKS = [Tasks.CONCEPT_ALIGNMENT_CLASSIFICATION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class NewDataset(datasets.GeneratorBasedBuilder):
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label_classes = ["T", "F"]
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BUILDER_CONFIGS = (
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SEACrowdConfig(
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name="id_am2ico_source",
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version=_SOURCE_VERSION,
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description="Indonesia am2ico source schema",
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schema="source",
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subset_id="id_am2ico",
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),
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SEACrowdConfig(
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name="id_am2ico_seacrowd_pairs",
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version=_SEACROWD_VERSION,
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description="Indonesia am2ico Nusantara schema",
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schema="seacrowd_pairs",
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subset_id="id_am2ico",
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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_pairs":
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features = schemas.pairs_features(self.label_classes)
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else:
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}
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yield row.Index, ex
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elif self.config.schema == "seacrowd_pairs":
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for row in df.itertuples():
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ex = {
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"id": str(row.Index),
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