Datasets:
				
			
			
	
			
	
		
			
	
		Tasks:
	
	
	
	
	Text Classification
	
	
	Modalities:
	
	
	
		
	
	Text
	
	
	Sub-tasks:
	
	
	
	
	natural-language-inference
	
	
	Size:
	
	
	
	
	100K - 1M
	
	
	Tags:
	
	
	
	
	quality-estimation
	
	
	License:
	
	
	
	
	
	
	
Fix string
Browse files- ik-nlp-22_transqe.py +10 -10
    	
        ik-nlp-22_transqe.py
    CHANGED
    
    | @@ -78,16 +78,16 @@ class IkNlp22ExpNLIConfig(datasets.GeneratorBasedBuilder): | |
| 78 | 
             
                                "explanation_2_nl": datasets.Value("string"),
         | 
| 79 | 
             
                                "explanation_3_en": datasets.Value("string"),
         | 
| 80 | 
             
                                "explanation_3_nl": datasets.Value("string"),
         | 
| 81 | 
            -
                                "da_premise": datasets.Value(" | 
| 82 | 
            -
                                "mqm_premise": datasets.Value(" | 
| 83 | 
            -
                                "da_hypothesis": datasets.Value(" | 
| 84 | 
            -
                                "mqm_hypothesis": datasets.Value(" | 
| 85 | 
            -
                                "da_explanation_1": datasets.Value(" | 
| 86 | 
            -
                                "mqm_explanation_1": datasets.Value(" | 
| 87 | 
            -
                                "da_explanation_2": datasets.Value(" | 
| 88 | 
            -
                                "mqm_explanation_2": datasets.Value(" | 
| 89 | 
            -
                                "da_explanation_3": datasets.Value(" | 
| 90 | 
            -
                                "mqm_explanation_3": datasets.Value(" | 
| 91 | 
             
                            }
         | 
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                        ),
         | 
| 93 | 
             
                        supervised_keys=None,
         | 
|  | |
| 78 | 
             
                                "explanation_2_nl": datasets.Value("string"),
         | 
| 79 | 
             
                                "explanation_3_en": datasets.Value("string"),
         | 
| 80 | 
             
                                "explanation_3_nl": datasets.Value("string"),
         | 
| 81 | 
            +
                                "da_premise": datasets.Value("string"),
         | 
| 82 | 
            +
                                "mqm_premise": datasets.Value("string"),
         | 
| 83 | 
            +
                                "da_hypothesis": datasets.Value("string"),
         | 
| 84 | 
            +
                                "mqm_hypothesis": datasets.Value("string"),
         | 
| 85 | 
            +
                                "da_explanation_1": datasets.Value("string"),
         | 
| 86 | 
            +
                                "mqm_explanation_1": datasets.Value("string"),
         | 
| 87 | 
            +
                                "da_explanation_2": datasets.Value("string"),
         | 
| 88 | 
            +
                                "mqm_explanation_2": datasets.Value("string"),
         | 
| 89 | 
            +
                                "da_explanation_3": datasets.Value("string"),
         | 
| 90 | 
            +
                                "mqm_explanation_3": datasets.Value("string"),
         | 
| 91 | 
             
                            }
         | 
| 92 | 
             
                        ),
         | 
| 93 | 
             
                        supervised_keys=None,
         | 

