Changed example tasks.

README.md

@@ -57,7 +57,7 @@ pipeline_tag: fill-mask
 
 EmuBert is the **largest** and **most accurate** open-source masked language model for Australian law.
 
-Trained on 180,000 laws, regulations and decisions across six Australian jurisdictions, totalling 1.4 billion tokens, taken from the [Open Australian Legal Corpus](https://huggingface.co/datasets/umarbutler/open-australian-legal-corpus), EmuBert is well suited for a diverse range of downstream natural language processing tasks applied to the Australian legal domain, including **text classification**, **named entity recognition** and **question answering**. It can also be used as-is for **semantic similarity**, **vector search** and general **sentence embedding**.
+Trained on 180,000 laws, regulations and decisions across six Australian jurisdictions, totalling 1.4 billion tokens, taken from the [Open Australian Legal Corpus](https://huggingface.co/datasets/umarbutler/open-australian-legal-corpus), EmuBert is well suited for a diverse range of downstream natural language processing tasks applied to the Australian legal domain, including **text classification**, **named entity recognition** and **question answering**. It can also be used as-is for **text similarity**, **clustering** and general **sentence embedding**.
 
 To ensure its accessibility to as wide an audience as possible, EmuBert is issued under the [MIT Licence](https://huggingface.co/umarbutler/emubert/blob/main/LICENCE.md).