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Datasets:
rbawden
/
DiaBLa

Tasks:
Translation
Modalities:
Text
Languages:
English
French
Size:
1K - 10K
Libraries:
Datasets
License:
Dataset card Viewer Files Community
4
rbawden commited on
Commit
2608406
•
1 Parent(s): ff75705

Update DiaBLa.py

Browse files
Files changed (1) hide show
  1. DiaBLa.py +65 -30
DiaBLa.py CHANGED
@@ -66,37 +66,72 @@ class Diabla(datasets.GeneratorBasedBuilder):
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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"),
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- 'eval-verbatim': datasets.Value('string'),
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- 'eval-problems': [
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- datasets.Value("string")
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- ],
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- 'lang': datasets.Value("string")
 
 
 
 
 
 
 
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  }
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- ),
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-
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- 'dialogue_history': [
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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"),
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- 'eval-verbatim': datasets.Value("string"),
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- 'eval-problems': [
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- datasets.Value("string")
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- ],
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- 'lang': datasets.Value("string"),
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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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  ),
@@ -167,6 +202,6 @@ 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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  utterance_instance['dialogue_history'] = dialogue_history
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  yield id_, utterance_instance
 
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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': {
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+ 'eval-judgment': datasets.Value("string"),
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+ 'eval-verbatim': datasets.Value('string'),
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+ 'eval-problems': [
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+ datasets.Value("string")
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+ ],
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+ 'lang': datasets.Value("string")
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+ },
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+ 'dialogue_meta':
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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': {
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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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+ 'final_evaluation_user2': {
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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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+ 'scenario': [[
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+ datasets.Value("string")
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+ ]],
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+ 'user1': {
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+ 'rolenum': datasets.Value('int64'),
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+ 'role':[
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+ datasets.Value('string')
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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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+ 'user2':
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+ {
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+ 'rolenum': datasets.Value('int64'),
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+ 'role':[
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+ datasets.Value('string')
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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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+ 'dialogue_history': [
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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': {
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+ 'eval-judgment': datasets.Value("string"),
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+ 'eval-verbatim': datasets.Value("string"),
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+ 'eval-problems': [
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+ datasets.Value("string")
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+ ],
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+ 'lang': datasets.Value("string"),
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+ }
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ]
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  }
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  ),
 
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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