Update README.md

README.md

@@ -28,12 +28,12 @@ SHP exploits the fact that if comment A was written *after* comment B but has a
 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.
 
 How is SHP different from [Anthropic's HH-RLHF dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf)? 
-Most notably, all the data in SHP is human-written, whereas the responses in HH-RLHF are machine-written, giving us two very different distributions.
+Most notably, all the data in SHP is naturally occurring and human-written, whereas the responses in HH-RLHF are machine-written, giving us two very different distributions.
 
-| Dataset              | Size | Input                      | Output                       | # Domains           | Data Format                           | Length |
+| Dataset              | Size | Input                      | Label                       | # Domains           | Data Format                           | Length |
 | -------------------- | ---- | -------------------------- | ---------------------------- | ------------------------- | ------------------------------------- | --------------- |
-| SHP                  | 385K | Human-written post and comments   | Aggregate Human Preference Label + Scores  | 18 (labelled)  | Question/Instruction + Response  | up to 10.1K T5 tokens |
-| HH-RLHF    | 91K | Dialogue with LLM  | Individual Human Preference Label  | unclear (not labelled)   | Multi-turn Dialogue              | up to 1.5K T5 tokens |
+| SHP                  | 385K | Naturally occurring human-written responses   | Aggregate Human Preference  | 18 (labelled)  | Question/Instruction + Response  | up to 10.1K T5 tokens |
+| HH-RLHF    | 91K | Dialogue with LLM  | Individual Human Preference  | unclear (not labelled)   | Multi-turn Dialogue              | 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)?
 Most notably, SHP uses the timestamp information to infer preferences, while ELI5 only provides comments and scores -- the latter are not enough to infer preferences since comments made earlier tend to get higher scores from more visibility.