Update README.md

README.md

@@ -4,6 +4,24 @@ 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:
@@ -21,19 +39,4 @@ configs:
   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.
+---