Update README.md

README.md

@@ -179,9 +179,8 @@ OntoLAMA is a set of language model (LM) probing datasets for ontology subsumpti
 The work follows the "LMs-as-KBs" literature but focuses on conceptualised knowledge extracted from formalised KBs such as the OWL ontologies. 
 Specifically, the subsumption inference (SI) task is introduced and formulated in the NLI style, where the sub-concept and the super-concept 
 involved in a subsumption axiom are verbalised and fitted into a template to form the premise and hypothesis, respectively. The SI task is 
-further divided into Atomic SI and Complex SI where the former involves only atomic named concepts and the latter involves complex concept 
-expressions restricted to OWL 2 EL. Real-world ontologies of different scales and domains are used for constructing OntoLAMA and in total 
-there are four Atomic SI datasets and two Complex SI datasets.
+further divided into Atomic SI and Complex SI where the former involves only atomic named concepts and the latter involves both atomic and complex concepts. 
+Real-world ontologies of different scales and domains are used for constructing OntoLAMA and in total there are four Atomic SI datasets and two Complex SI datasets.
 
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