Update README.md

README.md

@@ -29,7 +29,7 @@ Most notably, all the data in SHP is human-written, whereas the responses in HH-
 | Dataset              | Size | Input                      | Output                       | Annotated Domains               | 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   | Multi-turn Dialogue              | input up to 1.5K 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 |
 
 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: