Datasets:
Update DiaBLa.py
Browse files
DiaBLa.py
CHANGED
@@ -51,7 +51,7 @@ class Diabla(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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DiablaConfig(
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name='plain_text',
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-
version=datasets.Version('1.0.0
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description='Plain text',
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),
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]
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@@ -70,7 +70,7 @@ class Diabla(datasets.GeneratorBasedBuilder):
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'utterance_meta': datasets.features.Sequence(
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{
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'eval-judgment': ClassLabel(num_classes=3, names=['poor', 'medium', 'perfect']),
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'eval-verbatim': datasets.Value(
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'eval-problems': datasets.features.Sequence(
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[
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ClassLabel(num_classes=5, names=['coherence', 'grammar', 'meaning', 'word choice', 'style'])
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@@ -168,7 +168,7 @@ class Diabla(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download_and_extract(_URLS)
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={
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def _generate_examples(self, filepath):
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'''This function returns the examples in the raw (text) form.'''
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BUILDER_CONFIGS = [
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DiablaConfig(
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name='plain_text',
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version=datasets.Version('1.0.0', ''),
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description='Plain text',
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),
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]
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'utterance_meta': datasets.features.Sequence(
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{
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'eval-judgment': ClassLabel(num_classes=3, names=['poor', 'medium', 'perfect']),
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'eval-verbatim': datasets.Value('string'),
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'eval-problems': datasets.features.Sequence(
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[
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ClassLabel(num_classes=5, names=['coherence', 'grammar', 'meaning', 'word choice', 'style'])
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download_and_extract(_URLS)
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': downloaded_files['test']})]
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def _generate_examples(self, filepath):
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'''This function returns the examples in the raw (text) form.'''
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