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  This dataset contains all Winogrande examples that were included in the [Flan 2022 collection](https://github.com/google-research/FLAN/tree/main/flan/v2) which were orignally published in Super-Natural-Instructions.
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- The data is copied from the preprocessed Natural Instructions v2 dataset at "DataProvenanceInitiative/niv2_submix_original".
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  These tasks are:
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  1. 'task029_winogrande_full_object', # Creating a pair of fill in the blank question-answer pairs on objects.
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  7. 'task035_winogrande_question_modification_person', # Modifying a fill in the blank question on persons.
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  8. 'task1391_winogrande_easy_answer_generation', # Answering a fill in the blank question on objects.
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  ```
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  @inproceedings{wang-etal-2022-super,
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  title = "Super-{N}atural{I}nstructions: Generalization via Declarative Instructions on 1600+ {NLP} Tasks",
 
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  This dataset contains all Winogrande examples that were included in the [Flan 2022 collection](https://github.com/google-research/FLAN/tree/main/flan/v2) which were orignally published in Super-Natural-Instructions.
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+ The data is copied from the preprocessed Natural Instructions v2 dataset at [DataProvenanceInitiative/niv2_submix_original](https://huggingface.co/datasets/DataProvenanceInitiative/niv2_submix_original).
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  These tasks are:
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  1. 'task029_winogrande_full_object', # Creating a pair of fill in the blank question-answer pairs on objects.
 
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  7. 'task035_winogrande_question_modification_person', # Modifying a fill in the blank question on persons.
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  8. 'task1391_winogrande_easy_answer_generation', # Answering a fill in the blank question on objects.
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+ ### Data Fields
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+ The data fields are the same among all splits.
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+ - `inputs`: a `string` feature.
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+ - `targets`: a `string` feature.
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+ - `task_source`: a `string` feature.
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+ - `task_name`: a `string` feature.
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+ - `template_type`: a `string` feature.
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+
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  ```
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  @inproceedings{wang-etal-2022-super,
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  title = "Super-{N}atural{I}nstructions: Generalization via Declarative Instructions on 1600+ {NLP} Tasks",