Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
File size: 1,227 Bytes
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---
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.
---
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
--- |