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
6821ffd
•
1 Parent(s): 2608406

Update DiaBLa.py

Browse files
Files changed (1) hide show
  1. DiaBLa.py +8 -8
DiaBLa.py CHANGED
@@ -84,14 +84,14 @@ class Diabla(datasets.GeneratorBasedBuilder):
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")
@@ -124,12 +124,12 @@ class Diabla(datasets.GeneratorBasedBuilder):
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
  ]
 
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")
 
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
  ]