holylovenia
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c6d8e37
Upload indolem_ud_id_gsd.py with huggingface_hub
Browse files- indolem_ud_id_gsd.py +14 -18
indolem_ud_id_gsd.py
CHANGED
@@ -28,17 +28,17 @@ To create a dataset loading script you will create a class and implement 3 metho
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TODO: Before submitting your script, delete this doc string and replace it with a description of your dataset.
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[
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"""
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from pathlib import Path
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from typing import Dict, List, Tuple
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import datasets
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from
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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{mcdonald-etal-2013-universal,
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@@ -112,7 +112,7 @@ _SUPPORTED_TASKS = [Tasks.DEPENDENCY_PARSING]
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_SOURCE_VERSION = "1.0.0"
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# TODO: Name the dataset class to match the script name using CamelCase instead of snake_case
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@@ -120,21 +120,21 @@ class IndolemUdIdGsdDataset(datasets.GeneratorBasedBuilder):
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"""The Indonesian-GSD treebank, part of Universal-Dependency project. Consists of 5598 sentences and 122k words."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = [
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-
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name=f"{_DATASETNAME}_source",
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version=SOURCE_VERSION,
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description=f"{_DATASETNAME} source schema",
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schema="source",
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subset_id=f"{_DATASETNAME}",
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),
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-
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name=f"{_DATASETNAME}
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version=
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description=f"{_DATASETNAME} Nusantara KB schema",
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schema="
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subset_id=f"{_DATASETNAME}",
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),
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]
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@@ -163,7 +163,7 @@ class IndolemUdIdGsdDataset(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.kb_features
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else:
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@@ -210,14 +210,10 @@ class IndolemUdIdGsdDataset(datasets.GeneratorBasedBuilder):
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try:
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generator_fn = {
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"source": load_ud_data,
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"
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}[self.config.schema]
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except KeyError:
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raise NotImplementedError(f"Schema '{self.config.schema}' is not defined.")
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for key, example in enumerate(generator_fn(filepath)):
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yield key, example
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-
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-
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# if __name__ == "__main__":
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# datasets.load_dataset(__file__)
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TODO: Before submitting your script, delete this doc string and replace it with a description of your dataset.
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[seacrowd_schema_name] = (kb, pairs, qa, text, t2t, entailment)
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"""
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from pathlib import Path
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from typing import Dict, List, Tuple
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import datasets
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from seacrowd.utils import schemas
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from seacrowd.utils.common_parser import load_ud_data, load_ud_data_as_seacrowd_kb
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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{mcdonald-etal-2013-universal,
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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# TODO: Name the dataset class to match the script name using CamelCase instead of snake_case
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"""The Indonesian-GSD treebank, part of Universal-Dependency project. Consists of 5598 sentences and 122k words."""
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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=f"{_DATASETNAME}_source",
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version=SOURCE_VERSION,
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description=f"{_DATASETNAME} source schema",
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schema="source",
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subset_id=f"{_DATASETNAME}",
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),
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SEACrowdConfig(
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name=f"{_DATASETNAME}_seacrowd_kb",
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version=SEACROWD_VERSION,
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description=f"{_DATASETNAME} Nusantara KB schema",
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schema="seacrowd_kb",
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subset_id=f"{_DATASETNAME}",
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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_kb":
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features = schemas.kb_features
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else:
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try:
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generator_fn = {
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"source": load_ud_data,
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"seacrowd_kb": load_ud_data_as_seacrowd_kb,
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}[self.config.schema]
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except KeyError:
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raise NotImplementedError(f"Schema '{self.config.schema}' is not defined.")
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for key, example in enumerate(generator_fn(filepath)):
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yield key, example
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