Update README.md

README.md

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 ## Summary
 
-SHP is a dataset of **385K aggregate human preferences** over responses to questions/instructions in 18 different subject areas, from cooking to legal advice.
+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).
 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 (in aggregate). 
+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). 
 SHP exploits the fact that if comment A was written *after* comment B but has a higher score nonetheless, then A is ostensibly more preferred to B.
 If A had been written before B, then we could not conclude this, since its higher score could have been the result of more visibility from being written first.
 
@@ -32,7 +32,7 @@ Most notably, all the data in SHP is naturally occurring and human-written, wher
 
 | Dataset              | Size | Input                      | Label                       | Domains           | Data Format                           | Length |
 | -------------------- | ---- | -------------------------- | ---------------------------- | ------------------------- | ------------------------------------- | --------------- |
-| SHP                  | 385K | Naturally occurring human-written responses   | Aggregate Human Preference  | 18 (labelled)  | Question/Instruction + Response (Single-turn) | up to 10.1K T5 tokens |
+| SHP                  | 385K | Naturally occurring human-written responses   | Collective Human Preference  | 18 (labelled)  | Question/Instruction + Response (Single-turn) | up to 10.1K T5 tokens |
 | HH-RLHF    | 91K | Dialogue with LLM  | Individual Human Preference  | not labelled   | Live Chat (Multi-turn)              | up to 1.5K T5 tokens |
 
 How is SHP different from other datasets that have scraped Reddit, like [ELI5](https://huggingface.co/datasets/eli5#source-data)?