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metadata
license: mit
task_categories:
  - text-classification
language:
  - en
configs:
  - config_name: snli_extended
    data_files:
      - split: test
        path: snli_extended.jsonl
  - config_name: fever_extended
    data_files:
      - split: test
        path: fever_extended.jsonl
  - config_name: snli
    data_files:
      - split: test
        path: snli.jsonl
  - config_name: fever
    data_files:
      - split: test
        path: fever.jsonl
tags:
  - 'rationale-extraction '
  - reasoning
  - nli
  - fact-checking
  - explainability
pretty_name: spanex
size_categories:
  - 1K<n<10K

SpanEx consists of 7071 instances annotated for span interactions. SpanEx is the first dataset with human phrase-level interaction explanations with explicit labels for interaction types. Moreover, SpanEx is annotated by three annotators, which opens new avenues for studies of human explanation agreement -- an understudied area in the explainability literature. 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. We collect explanations of span interactions for NLI on the SNLI dataset and for FC on the FEVER dataset.