Update README.md

README.md

@@ -26,10 +26,10 @@ If A had been written before B, then we could not conclude this, since its highe
 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.
 
-| Dataset              | Size | Input                      | Output                       | Annotated Domains               | Data Format                           | Length |
+| Dataset              | Size | Input                      | Output                       | Domain Labels           | Data Format                           | Length |
 | -------------------- | ---- | -------------------------- | ---------------------------- | ------------------------- | ------------------------------------- | --------------- |
-| SHP                  | 385K | Human-written post and comments   | Aggregate Human Preference Label + Scores  | Yes  | Question/Instruction + Response  | input up to 10.1K T5 tokens |
-| HH-RLHF    | 91K | Dialogue with LLM  | Individual Human Preference Label  | No (aside from harmful/helpful division)  | Multi-turn Dialogue              | input up to 1.5K T5 tokens |
+| SHP                  | 385K | Human-written post and comments   | Aggregate Human Preference Label + Scores  | Yes  | Question/Instruction + Response  | up to 10.1K T5 tokens |
+| HH-RLHF    | 91K | Dialogue with LLM  | Individual Human Preference Label  | No   | 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 exploits the timestamp hack to infer preferences, rather than only providing the comments: