Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
metadata
license: mit
task_categories:
- text-classification
language:
- en
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.