Hugging Face's logo

Datasets:
rbawden
/
DiaBLa

Tasks:
Translation
Languages:
English
French
Multilinguality:
translation
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
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):
66
  'norm': datasets.Value('string'),
67
  'mt': datasets.Value('string'),
68
  'ref': datasets.Value('string'),
69
- 'utterance_meta': datasets.features.Sequence(
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70
  {
71
- 'eval-judgment': datasets.Value("string"),
72
- 'eval-verbatim': datasets.Value('string'),
73
- 'eval-problems': [
74
- datasets.Value("string")
75
- ],
76
- 'lang': datasets.Value("string")
 
 
 
 
 
 
 
77
  }
78
- ),
79
-
80
- 'dialogue_history': [
81
- # datasets.features.Sequence(
82
- {
83
- 'id': datasets.Value('string'),
84
- 'orig': datasets.Value('string'),
85
- 'norm': datasets.Value('string'),
86
- 'mt': datasets.Value('string'),
87
- 'ref': datasets.Value('string'),
88
- 'utterance_meta': datasets.features.Sequence(
89
- {
90
- 'eval-judgment': datasets.Value("string"),
91
- 'eval-verbatim': datasets.Value("string"),
92
- 'eval-problems': [
93
- datasets.Value("string")
94
- ],
95
- 'lang': datasets.Value("string"),
96
- }
97
- )
98
- }
99
- # )
100
  ]
101
  }
102
  ),
@@ -167,6 +202,6 @@ class Diabla(datasets.GeneratorBasedBuilder):
167
 
168
  # add to history (without dialogue info and history)
169
  dialogue_history.append(utterance_instance.copy())
170
- #utterance_instance['dialogue_meta'] = dialogue_info
171
  utterance_instance['dialogue_history'] = dialogue_history
172
  yield id_, utterance_instance
 
66
  'norm': datasets.Value('string'),
67
  'mt': datasets.Value('string'),
68
  'ref': datasets.Value('string'),
69
+ 'utterance_meta': {
70
+ 'eval-judgment': datasets.Value("string"),
71
+ 'eval-verbatim': datasets.Value('string'),
72
+ 'eval-problems': [
73
+ datasets.Value("string")
74
+ ],
75
+ 'lang': datasets.Value("string")
76
+ },
77
+ 'dialogue_meta':
78
+ {
79
+ 'start_time': datasets.Value('string'),
80
+ 'end_time' : datasets.Value('string'),
81
+ 'translation_model': datasets.Value('string'),
82
+ 'final_evaluation_user1': {
83
+ 'style': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
84
+ 'coherence': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
85
+ 'grammaticality': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
86
+ 'meaning': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
87
+ 'word_choice': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
88
+ },
89
+ 'final_evaluation_user2': {
90
+ 'style': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
91
+ 'coherence': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
92
+ 'grammaticality': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
93
+ 'meaning': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
94
+ 'word_choice': datasets.Value("string"), # possible values =['poor', 'average', 'good', 'excellent']
95
+ },
96
+ 'scenario': [[
97
+ datasets.Value("string")
98
+ ]],
99
+ 'user1': {
100
+ 'rolenum': datasets.Value('int64'),
101
+ 'role':[
102
+ datasets.Value('string')
103
+ ],
104
+ 'initiated_dialogue': datasets.Value('bool'),
105
+ 'turn_number': datasets.Value('int64'),
106
+ 'lang': datasets.Value("string"), # possible values = ['english', 'french']
107
+ },
108
+ 'user2':
109
+ {
110
+ 'rolenum': datasets.Value('int64'),
111
+ 'role':[
112
+ datasets.Value('string')
113
+ ],
114
+ 'initiated_dialogue': datasets.Value('bool'),
115
+ 'turn_number': datasets.Value('int64'),
116
+ 'lang': datasets.Value("string"), # possible values = ['english', 'french']
117
+ }
118
+ },
119
+ 'dialogue_history': [
120
  {
121
+ 'id': datasets.Value('string'),
122
+ 'orig': datasets.Value('string'),
123
+ 'norm': datasets.Value('string'),
124
+ 'mt': datasets.Value('string'),
125
+ 'ref': datasets.Value('string'),
126
+ 'utterance_meta': {
127
+ 'eval-judgment': datasets.Value("string"),
128
+ 'eval-verbatim': datasets.Value("string"),
129
+ 'eval-problems': [
130
+ datasets.Value("string")
131
+ ],
132
+ 'lang': datasets.Value("string"),
133
+ }
134
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
135
  ]
136
  }
137
  ),
 
202
 
203
  # add to history (without dialogue info and history)
204
  dialogue_history.append(utterance_instance.copy())
205
+ utterance_instance['dialogue_meta'] = dialogue_info
206
  utterance_instance['dialogue_history'] = dialogue_history
207
  yield id_, utterance_instance