Commit
•
a2a086c
1
Parent(s):
03d8b46
Refactor dict literals, docstring and download splits
Browse files
alt.py
CHANGED
@@ -45,31 +45,27 @@ _WIKI_URL = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel
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class AltParallelConfig(datasets.BuilderConfig):
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"""BuilderConfig for ALT."""
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def __init__(self, languages, **kwargs):
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"""BuilderConfig for ALT.
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Args:
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-
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languages: languages that will be used for translation. it should be one of the
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**kwargs: keyword arguments forwarded to super.
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"""
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name = "alt-parallel"
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description = "ALT Parallel Corpus"
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super(
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name=name,
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description=description,
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version=datasets.Version("1.0.0", ""),
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**kwargs,
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)
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available_langs =
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["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"]
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)
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for language in languages:
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assert language in available_langs
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@@ -184,7 +180,7 @@ class Alt(datasets.GeneratorBasedBuilder):
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else:
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data_path = dl_manager.download_and_extract(_URLs[self.config.name])
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if self.config.name
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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@@ -192,9 +188,7 @@ class Alt(datasets.GeneratorBasedBuilder):
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)
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]
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else:
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data_split =
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for k in _SPLIT:
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data_split[k] = dl_manager.download_and_extract(_SPLIT[k])
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return [
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datasets.SplitGenerator(
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class AltParallelConfig(datasets.BuilderConfig):
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"""BuilderConfig for ALT Parallel."""
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def __init__(self, languages, **kwargs):
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"""BuilderConfig for ALT Parallel.
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Args:
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languages: languages that will be used for translation.
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**kwargs: keyword arguments forwarded to super.
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"""
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name = "alt-parallel"
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description = "ALT Parallel Corpus"
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super().__init__(
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name=name,
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description=description,
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version=datasets.Version("1.0.0", ""),
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**kwargs,
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)
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available_langs = {"bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"}
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for language in languages:
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assert language in available_langs
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else:
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data_path = dl_manager.download_and_extract(_URLs[self.config.name])
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if self.config.name in {"alt-my-transliteration", "alt-my-west-transliteration"}:
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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)
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]
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else:
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data_split = dl_manager.download(_SPLIT)
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return [
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datasets.SplitGenerator(
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