Datasets:
				
			
			
	
			
	
		
			
	
		Tasks:
	
	
	
	
	Text Classification
	
	
	Modalities:
	
	
	
		
	
	Text
	
	
	Formats:
	
	
	
		
	
	json
	
	
	Sub-tasks:
	
	
	
	
	sentiment-classification
	
	
	Languages:
	
	
	
		
	
	Turkish
	
	
	Size:
	
	
	
	
	100K - 1M
	
	
	Tags:
	
	
	
	
	sentiment
	
	
	License:
	
	
	
	
	
	
	
added benchmark info
Browse files
    	
        README.md
    CHANGED
    
    | @@ -149,11 +149,22 @@ Here are the dataset sizes and number of labels: | |
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            | e-commerce  | 103K | 5 |
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            | movies  | 78K  | 2|
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            -
            | hate |   | 
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            ### Benchmarking
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            ### Citation
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            | e-commerce  | 103K | 5 |
         | 
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            | movies  | 78K  | 2|
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            +
            | hate |  52K| 4 |
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            ### Benchmarking
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            We benchmarked BERTurk on all of our datasets. 
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            All benchmarking scripts can be found under the dedicated [SentiTurca Github repo](https://github.com/turkish-nlp-suite/SentiTurca).
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            | Subset | metrics | success |
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            |---|---|---|
         | 
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            +
            | movies  | Matthews corr. | 0.67 |
         | 
| 163 | 
            +
            | e-commerce  | acc./F1 | 0.66/0.64 |
         | 
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            | hate | acc./F1 | 0.61/0.58 | 
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            As one sees, hate dataset is quite challenging. For a  full critique of the benchmark please visit our [research paper]().
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            ### Citation
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