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- SpanEx consists of 7071 instances annotated for span interactions.
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- SpanEx is the first dataset with human phrase-level interaction explanations with explicit labels for interaction types.
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- Moreover, SpanEx is annotated by three annotators, which opens new avenues for studies of human explanation agreement -- an understudied area in the explainability literature.
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- Our study reveals that while human annotators often agree on span interactions, they also offer complementary reasons for a prediction, collectively providing a comprehensive set of reasons for a prediction.
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- We collect explanations of span interactions for NLI on the SNLI dataset and for FC on the FEVER dataset.
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  ---
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  license: mit
 
 
 
 
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  configs:
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  - config_name: snli_extended
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  data_files:
@@ -22,15 +21,19 @@ configs:
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  data_files:
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  - split: test
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  path: fever.jsonl
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- task_categories:
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- - text-classification
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- language:
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- - en
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  tags:
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- - fact-checking
 
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  - nli
 
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  - explainability
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- pretty_name: SpanEx
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  size_categories:
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  - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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  configs:
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  - config_name: snli_extended
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  data_files:
 
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  data_files:
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  - split: test
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  path: fever.jsonl
 
 
 
 
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  tags:
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+ - 'rationale-extraction '
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+ - reasoning
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  - nli
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+ - fact-checking
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  - explainability
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+ pretty_name: spanex
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  size_categories:
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  - 1K<n<10K
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+ ---
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+
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+ SpanEx consists of 7071 instances annotated for span interactions.
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+ SpanEx is the first dataset with human phrase-level interaction explanations with explicit labels for interaction types.
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+ Moreover, SpanEx is annotated by three annotators, which opens new avenues for studies of human explanation agreement -- an understudied area in the explainability literature.
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+ Our study reveals that while human annotators often agree on span interactions, they also offer complementary reasons for a prediction, collectively providing a comprehensive set of reasons for a prediction.
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+ We collect explanations of span interactions for NLI on the SNLI dataset and for FC on the FEVER dataset.