Datasets:
Update DiaBLa.py
Browse files
DiaBLa.py
CHANGED
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@@ -78,65 +78,31 @@ class Diabla(datasets.GeneratorBasedBuilder):
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'lang': datasets.Value("string"), # possible values = ['english', 'french']
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}
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),
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'dialogue_meta': datasets.features.Sequence(
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{
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'start_time': datasets.Value('string'),
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'end_time' : datasets.Value('string'),
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'translation_model': datasets.Value('string'),
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'final_evaluation_user1': datasets.features.Sequence(
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{
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'style': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'coherence': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'grammaticality': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'meaning': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'word_choice': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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}
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),
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'final_evaluation_user2': datasets.features.Sequence(
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{
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'style': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'coherence': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'grammaticality': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'meaning': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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'word_choice': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
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}
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),
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'scenario': datasets.features.Sequence(
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[
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[
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datasets.Value("string")
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]
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]
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),
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'user1': datasets.features.Sequence(
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{
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'rolenum': datasets.Value('int64'),
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'role': datasets.features.Sequence(
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[
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datasets.Value('string')
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]
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),
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'initiated_dialogue': datasets.Value('bool'),
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'turn_number': datasets.Value('int64'),
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'lang': datasets.Value("string"), # possible values = ['english', 'french']
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}
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),
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'user2': datasets.features.Sequence(
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{
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'rolenum': datasets.Value('int64'),
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'role': datasets.features.Sequence(
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[
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datasets.Value('string')
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]
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),
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'initiated_dialogue': datasets.Value('bool'),
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'turn_number': datasets.Value('int64'),
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'lang': datasets.Value("string"), # possible values = ['english', 'french']
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}
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)
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}
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),
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}
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),
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# TODO?
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@@ -206,6 +172,6 @@ class Diabla(datasets.GeneratorBasedBuilder):
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# add to history (without dialogue info and history)
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dialogue_history.append(utterance_instance.copy())
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utterance_instance['dialogue_meta'] = dialogue_info
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yield id_, utterance_instance
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'lang': datasets.Value("string"), # possible values = ['english', 'french']
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}
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),
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'dialogue_history': datasets.features.Sequence(
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[
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datasets.features.Sequence(
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{
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'id': datasets.Value('string'),
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'orig': datasets.Value('string'),
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'norm': datasets.Value('string'),
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'mt': datasets.Value('string'),
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'ref': datasets.Value('string'),
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'utterance_meta': datasets.features.Sequence(
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{
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'eval-judgment': datasets.Value("string"), # possible values = ['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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datasets.Value("string"), # possible values = ['coherence', 'grammar', 'meaning', 'word choice', 'style', 'other']
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]
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),
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'lang': datasets.Value("string"), # possible values = ['english', 'french']
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}
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),
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}),
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]
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)
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}
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),
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# TODO?
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# add to history (without dialogue info and history)
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dialogue_history.append(utterance_instance.copy())
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#utterance_instance['dialogue_meta'] = dialogue_info
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utterance_instance['dialogue_history'] = dialogue_history
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yield id_, utterance_instance
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