Update README.md

README.md

@@ -24,11 +24,20 @@ 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 response in HH-RLHF are machine-written, giving us two very different distributions.
 
-| Dataset              | Input                      | Output                       | No. Domains               | Data Format                           | Length |
-| -------------------- | -------------------------- | ---------------------------- | ------------------------- | ------------------------------------- | --------------- |
-| SHP                  | Reddit post and comments   | Aggregate Human Preference Label + Scores  | 18 (cooking, cars, etc.)   | Question/Instruction + Response  | input up to 10.1K T5 tokens |
-| Anthropic/HH-RLHF    | Dialogue with LLM  | Individual Human Preference Label  | 2 (harmful, helpful)      | Multi-turn Dialogue                   | input up to 1.5K T5 tokens |
+| 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 |
+
+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:
+
+| Dataset              | Size | Comments + Scores  | Preferences  | Number of Domains  |
+| -------------------- | ---- | ------------------ | -------------| ------------------ |
+| SHP                  | 385K | Yes                | Yes          | 18  |
+| ELI5                 | 91K  | Yes                | No           | 3   |
 
 
 ## Data Structure