holylovenia
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f2c8d55
Upload jadi_ide.py with huggingface_hub
Browse files- jadi_ide.py +12 -12
jadi_ide.py
CHANGED
@@ -4,9 +4,9 @@ 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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@article{hidayatullah2020attention,
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@@ -37,7 +37,7 @@ _URLS = {
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# TODO check supported tasks
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_SUPPORTED_TASKS = [Tasks.EMOTION_CLASSIFICATION]
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_SOURCE_VERSION = "1.0.0"
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class JaDi_Ide(datasets.GeneratorBasedBuilder):
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@@ -45,21 +45,21 @@ class JaDi_Ide(datasets.GeneratorBasedBuilder):
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data samples."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = [
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name="jadi_ide_source",
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version=SOURCE_VERSION,
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description="JaDi-Ide source schema",
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schema="source",
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subset_id="jadi_ide",
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),
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name="
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version=
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description="JaDi-Ide Nusantara schema",
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schema="
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subset_id="jadi_ide",
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),
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]
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@@ -75,7 +75,7 @@ class JaDi_Ide(datasets.GeneratorBasedBuilder):
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"label": 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.text_features(["Jawa Timur", "Jawa Standar", "Jawa Ngapak"])
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@@ -118,7 +118,7 @@ class JaDi_Ide(datasets.GeneratorBasedBuilder):
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}
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yield idx, ex
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elif self.config.schema == "
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for idx, row in enumerate(df.itertuples()):
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ex = {
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"id": str(idx),
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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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@article{hidayatullah2020attention,
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# TODO check supported tasks
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_SUPPORTED_TASKS = [Tasks.EMOTION_CLASSIFICATION]
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class JaDi_Ide(datasets.GeneratorBasedBuilder):
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data samples."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="jadi_ide_source",
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version=SOURCE_VERSION,
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description="JaDi-Ide source schema",
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schema="source",
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subset_id="jadi_ide",
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),
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SEACrowdConfig(
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name="jadi_ide_seacrowd_text",
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version=SEACROWD_VERSION,
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description="JaDi-Ide Nusantara schema",
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schema="seacrowd_text",
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subset_id="jadi_ide",
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),
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]
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"label": datasets.Value("string")
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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(["Jawa Timur", "Jawa Standar", "Jawa Ngapak"])
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}
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yield idx, ex
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elif self.config.schema == "seacrowd_text":
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for idx, row in enumerate(df.itertuples()):
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ex = {
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"id": str(idx),
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