Upload id_stance.py with huggingface_hub
Browse files- id_stance.py +11 -11
id_stance.py
CHANGED
@@ -5,9 +5,9 @@ from typing import List
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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{8629144,
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@@ -40,7 +40,7 @@ _URLs = {
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}
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_SUPPORTED_TASKS = [Tasks.TEXTUAL_ENTAILMENT]
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_SOURCE_VERSION = "1.0.0"
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def parse_list(content):
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@@ -56,18 +56,18 @@ class IdStance(datasets.GeneratorBasedBuilder):
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"""The ID Stance dataset is annotated with a label whether the article is in favor of the person in the context of the event"""
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BUILDER_CONFIGS = [
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name="id_stance_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="IdStance source schema",
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schema="source",
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subset_id="id_stance",
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),
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name="
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version=datasets.Version(
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description="IdStance Nusantara schema",
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schema="
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subset_id="id_stance",
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),
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]
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@@ -85,7 +85,7 @@ class IdStance(datasets.GeneratorBasedBuilder):
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"stance_final": datasets.Value("string"),
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}
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)
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elif self.config.schema == "
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features = schemas.pairs_features(["for", "against", "no"])
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return datasets.DatasetInfo(
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@@ -124,7 +124,7 @@ class IdStance(datasets.GeneratorBasedBuilder):
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"stance_final": row.stance_final
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}
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yield row.id, 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": row.id,
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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{8629144,
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}
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_SUPPORTED_TASKS = [Tasks.TEXTUAL_ENTAILMENT]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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def parse_list(content):
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"""The ID Stance dataset is annotated with a label whether the article is in favor of the person in the context of the event"""
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="id_stance_source",
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version=datasets.Version(_SOURCE_VERSION),
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description="IdStance source schema",
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schema="source",
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subset_id="id_stance",
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),
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SEACrowdConfig(
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name="id_stance_seacrowd_pairs",
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version=datasets.Version(_SEACROWD_VERSION),
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description="IdStance Nusantara schema",
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schema="seacrowd_pairs",
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subset_id="id_stance",
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),
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]
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"stance_final": datasets.Value("string"),
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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(["for", "against", "no"])
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return datasets.DatasetInfo(
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"stance_final": row.stance_final
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}
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yield row.id, 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": row.id,
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