Datasets:
				
			
			
	
			
	
		
			
	
		Tasks:
	
	
	
	
	Text Classification
	
	
	Languages:
	
	
	
		
	
	English
	
	
	Size:
	
	
	
	
	10K<n<100K
	
	
	ArXiv:
	
	
	
	
	
	
	
	
Tags:
	
	
	
	
	fake-news-detection
	
	
	License:
	
	
	
	
	
	
	
		Sasha Luccioni
		
	commited on
		
		
					Commit 
							
							·
						
						07a31b8
	
1
								Parent(s):
							
							c1068b3
								
Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, Poem Sentiment (#4336)
Browse files* Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, PiQA, Poem Sentiment, QAsper
* Update README.md
fixing header
* Update datasets/piqa/README.md
Co-authored-by: Quentin Lhoest <[email protected]>
* Update README.md
changing MSRA NER metric to `seqeval`
* Update README.md
removing ROUGE args
* Update README.md
removing duplicate information
* Update README.md
removing eval for now
* Update README.md
removing eval for now
Co-authored-by: sashavor <[email protected]>
Co-authored-by: Quentin Lhoest <[email protected]>
 Commit from https://github.com/huggingface/datasets/commit/095d12ff7414df118f60e00cd6494299a881743a
    	
        README.md
    CHANGED
    
    | @@ -19,6 +19,55 @@ task_ids: | |
| 19 | 
             
            - text-classification-other-fake-news-detection
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            paperswithcode_id: liar
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| 21 | 
             
            pretty_name: LIAR
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| 22 | 
             
            ---
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| 23 |  | 
| 24 | 
             
            # Dataset Card for [Dataset Name]
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|  | |
| 19 | 
             
            - text-classification-other-fake-news-detection
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| 20 | 
             
            paperswithcode_id: liar
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            pretty_name: LIAR
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| 22 | 
            +
            train-eval-index:
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| 23 | 
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            - config: default
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              task: text-classification
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| 25 | 
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              task_id: multi_class_classification
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| 26 | 
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              splits:
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                train_split: train
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                eval_split: test
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              col_mapping:
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                statement: text
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                label: target
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| 32 | 
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              metrics:
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                - type: accuracy
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| 34 | 
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                  name: Accuracy
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| 35 | 
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                - type: f1
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| 36 | 
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                  name: F1 macro
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                  args:
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| 38 | 
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                    average: macro
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| 39 | 
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                - type: f1
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| 40 | 
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                  name: F1 micro
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                  args:
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| 42 | 
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                    average: micro
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| 43 | 
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                - type: f1
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| 44 | 
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                  name: F1 weighted
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| 45 | 
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                  args:
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                    average: weighted
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| 47 | 
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                - type: precision
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                  name: Precision macro
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                  args:
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| 50 | 
            +
                    average: macro
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| 51 | 
            +
                - type: precision
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| 52 | 
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                  name: Precision micro
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                  args:
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| 54 | 
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                    average: micro
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| 55 | 
            +
                - type: precision
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| 56 | 
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                  name: Precision weighted
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| 57 | 
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                  args:
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| 58 | 
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                    average: weighted
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| 59 | 
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                - type: recall
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| 60 | 
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                  name: Recall macro
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                  args:
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            +
                    average: macro
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| 63 | 
            +
                - type: recall
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| 64 | 
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                  name: Recall micro
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| 65 | 
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                  args:
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| 66 | 
            +
                    average: micro
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| 67 | 
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                - type: recall
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| 68 | 
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                  name: Recall weighted
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                  args:
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                    average: weighted
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| 71 | 
             
            ---
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| 72 |  | 
| 73 | 
             
            # Dataset Card for [Dataset Name]
         | 
