Upload minangnlp_mt.py with huggingface_hub
Browse files- minangnlp_mt.py +12 -12
minangnlp_mt.py
CHANGED
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@@ -3,9 +3,9 @@ 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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_CITATION = """\
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@inproceedings{koto-koto-2020-towards,
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@@ -48,28 +48,28 @@ _URLS = {
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_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
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# Dataset does not have versioning
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_SOURCE_VERSION = "1.0.0"
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class MinangNLPmt(datasets.GeneratorBasedBuilder):
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"""16,371-size parallel Minangkabau-Indonesian sentence pairs."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = [
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name="minangnlp_mt_source",
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version=SOURCE_VERSION,
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description="MinangNLP Machine Translation source schema",
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schema="source",
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subset_id="minangnlp_mt",
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),
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name="
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version=
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description="MinangNLP Machine Translation Nusantara schema",
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schema="
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subset_id="minangnlp_mt",
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),
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]
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@@ -85,7 +85,7 @@ class MinangNLPmt(datasets.GeneratorBasedBuilder):
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"tgt": 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.text2text_features
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return datasets.DatasetInfo(
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@@ -148,7 +148,7 @@ class MinangNLPmt(datasets.GeneratorBasedBuilder):
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}
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yield idx, row
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elif self.config.schema == "
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row = {
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"id": str(idx),
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"text_1": src,
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import datasets
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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{koto-koto-2020-towards,
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_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
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# Dataset does not have versioning
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class MinangNLPmt(datasets.GeneratorBasedBuilder):
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"""16,371-size parallel Minangkabau-Indonesian sentence pairs."""
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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="minangnlp_mt_source",
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version=SOURCE_VERSION,
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description="MinangNLP Machine Translation source schema",
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schema="source",
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subset_id="minangnlp_mt",
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),
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SEACrowdConfig(
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name="minangnlp_mt_seacrowd_t2t",
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version=SEACROWD_VERSION,
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description="MinangNLP Machine Translation Nusantara schema",
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schema="seacrowd_t2t",
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subset_id="minangnlp_mt",
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),
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]
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"tgt": datasets.Value("string"),
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}
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)
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elif self.config.schema == "seacrowd_t2t":
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features = schemas.text2text_features
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return datasets.DatasetInfo(
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}
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yield idx, row
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elif self.config.schema == "seacrowd_t2t":
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row = {
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"id": str(idx),
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"text_1": src,
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