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  1. README.md +18 -0
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@@ -20,6 +20,9 @@ source_datasets:
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  - original
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  task_categories:
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  - text-classification
 
 
 
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  task_ids:
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  - natural-language-inference
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  - multi-class-classification
@@ -302,6 +305,12 @@ dataset_info:
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  num_examples: 7257
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  download_size: 56208297
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  dataset_size: 192611150
 
 
 
 
 
 
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  ---
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  # Dataset Card for [Russian SuperGLUE]
@@ -955,6 +964,15 @@ All our datasets are published by MIT License.
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  journal={arXiv preprint arXiv:2010.15925},
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  year={2020}
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  }
 
 
 
 
 
 
 
 
 
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  ```
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  ### Contributions
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  - original
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  task_categories:
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  - text-classification
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+ - question-answering
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+ - zero-shot-classification
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+ - text-generation
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  task_ids:
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  - natural-language-inference
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  - multi-class-classification
 
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  num_examples: 7257
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  download_size: 56208297
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  dataset_size: 192611150
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+ tags:
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+ - glue
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+ - qa
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+ - superGLUE
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+ - NLI
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+ - reasoning
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  ---
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  # Dataset Card for [Russian SuperGLUE]
 
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  journal={arXiv preprint arXiv:2010.15925},
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  year={2020}
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  }
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+
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+ @misc{fenogenova2022russian,
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+ title={Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models},
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+ author={Alena Fenogenova and Maria Tikhonova and Vladislav Mikhailov and Tatiana Shavrina and Anton Emelyanov and Denis Shevelev and Alexandr Kukushkin and Valentin Malykh and Ekaterina Artemova},
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+ year={2022},
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+ eprint={2202.07791},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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  ```
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  ### Contributions
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