Datasets:
Update piglatin-mt.py
Browse files- piglatin-mt.py +4 -6
piglatin-mt.py
CHANGED
@@ -23,8 +23,7 @@ import datasets
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# TODO: Add BibTeX citation
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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@InProceedings{huggingface:dataset,
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title = {A great new dataset},
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author={huggingface, Inc.
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},
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@@ -34,8 +33,7 @@ year={2020}
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# You can copy an official description
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_DESCRIPTION = """\
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Pig-latin machine and English parallel machine translation corpus.
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Based on
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The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries
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@@ -54,12 +52,12 @@ _LICENSE = "MIT License, derived from public domain text and converted with MIT-
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"train": "./piglatin-mt-train.json",
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"
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}
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class
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"""Machine Translation dataset created with """
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VERSION = datasets.Version("1.0.0")
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# TODO: Add BibTeX citation
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\\r\n@InProceedings{huggingface:dataset,
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title = {A great new dataset},
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author={huggingface, Inc.
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},
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# You can copy an official description
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_DESCRIPTION = """\\r\nPig-latin machine and English parallel machine translation corpus.
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Based on
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The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"train": "./piglatin-mt-train.json",
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"test": "./piglatin-mt-test.json",
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}
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class PigLatinMT(datasets.GeneratorBasedBuilder):
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"""Machine Translation dataset created with """
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VERSION = datasets.Version("1.0.0")
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