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README.md

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 ## Summary
 
-SHP is a dataset of **385K collective human preferences** over responses to questions/instructions in 18 different subject areas, from cooking to legal advice (see the [Design](https://huggingface.co/datasets/stanfordnlp/SHP#dataset-design) for a breakdown of the domains).
+SHP is a dataset of **385K collective human preferences** over responses to questions/instructions in 18 different subject areas, from cooking to legal advice (see the [Design section](https://huggingface.co/datasets/stanfordnlp/SHP#dataset-design) for a breakdown of the domains).
 It is primarily intended to be used for training reward models for RLHF and automatic evaluation models for NLG.
 
 Each example is a Reddit post and a pair of top-level comments for that post, where one comment is more preferred by Reddit users (collectively).