holylovenia
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Upload ud_id_csui.py with huggingface_hub
Browse files- ud_id_csui.py +26 -30
ud_id_csui.py
CHANGED
@@ -19,10 +19,10 @@ from typing import Dict, List, Tuple
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import datasets
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from conllu import TokenList
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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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@article {10.3844/jcssp.2020.1585.1597,
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@@ -71,45 +71,45 @@ _SUPPORTED_TASKS = [Tasks.DEPENDENCY_PARSING, Tasks.MACHINE_TRANSLATION, Tasks.P
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_SOURCE_VERSION = "1.0.0"
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class UdIdCsuiDataset(datasets.GeneratorBasedBuilder):
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"""Treebank of formal Indonesian news which consists of 1030 sentences (28K words)"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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-
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# source: https://universaldependencies.org/u/pos/
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UPOS_TAGS = ["ADJ", "ADP", "ADV", "AUX", "CCONJ", "DET", "INTJ", "NOUN", "NUM", "PART", "PRON", "PROPN", "PUNCT", "SCONJ", "SYM", "VERB", "X"]
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BUILDER_CONFIGS = [
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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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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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name=f"{_DATASETNAME}
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version=
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description=f"{_DATASETNAME} Nusantara Text to Text schema",
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schema="
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subset_id=f"{_DATASETNAME}",
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),
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name=f"{_DATASETNAME}
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version=
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description=f"{_DATASETNAME} Nusantara Seq Label 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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@@ -139,13 +139,13 @@ class UdIdCsuiDataset(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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elif self.config.schema == "
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features = schemas.text2text_features
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elif self.config.schema == "
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features = schemas.seq_label_features(self.UPOS_TAGS)
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else:
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@@ -202,10 +202,10 @@ class UdIdCsuiDataset(datasets.GeneratorBasedBuilder):
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if self.config.schema == "source":
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pass
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elif self.config.schema == "
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dataset =
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elif self.config.schema == "
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dataset = list(
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map(
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lambda d: {
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@@ -219,7 +219,7 @@ class UdIdCsuiDataset(datasets.GeneratorBasedBuilder):
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)
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)
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elif self.config.schema == "
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dataset = list(
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map(
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lambda d: {
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@@ -236,7 +236,3 @@ class UdIdCsuiDataset(datasets.GeneratorBasedBuilder):
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for key, example in enumerate(dataset):
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yield key, example
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if __name__ == "__main__":
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datasets.load_dataset(__file__)
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import datasets
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from conllu import TokenList
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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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@article {10.3844/jcssp.2020.1585.1597,
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class UdIdCsuiDataset(datasets.GeneratorBasedBuilder):
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"""Treebank of formal Indonesian news which consists of 1030 sentences (28K 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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# source: https://universaldependencies.org/u/pos/
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UPOS_TAGS = ["ADJ", "ADP", "ADV", "AUX", "CCONJ", "DET", "INTJ", "NOUN", "NUM", "PART", "PRON", "PROPN", "PUNCT", "SCONJ", "SYM", "VERB", "X"]
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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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SEACrowdConfig(
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name=f"{_DATASETNAME}_seacrowd_t2t",
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version=SEACROWD_VERSION,
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description=f"{_DATASETNAME} Nusantara Text to Text schema",
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schema="seacrowd_t2t",
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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_seq_label",
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version=SEACROWD_VERSION,
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description=f"{_DATASETNAME} Nusantara Seq Label schema",
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schema="seacrowd_seq_label",
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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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elif self.config.schema == "seacrowd_t2t":
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features = schemas.text2text_features
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elif self.config.schema == "seacrowd_seq_label":
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features = schemas.seq_label_features(self.UPOS_TAGS)
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else:
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if self.config.schema == "source":
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pass
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elif self.config.schema == "seacrowd_kb":
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dataset = load_ud_data_as_seacrowd_kb(filepath, dataset)
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elif self.config.schema == "seacrowd_t2t":
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dataset = list(
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map(
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lambda d: {
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)
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)
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elif self.config.schema == "seacrowd_seq_label":
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dataset = list(
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map(
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lambda d: {
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for key, example in enumerate(dataset):
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yield key, example
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