Datasets:

stanfordnlp
/

SHP

@@ -109,7 +109,7 @@ The data is sourced from Reddit, which is a public forum organized into topic-sp
 For example, the `askculinary` subreddit is where users ask cooking-related questions and are answered by other users.
 SHP contains a train, validation, and test split for comments scraped from 18 different subreddits. We chose subreddits based on:
-1. whether they were well-known (subscriber count >= 50K)
 2. whether posts were expected to pose a question or instruction
 3. whether responses were valued based on how *helpful* they were
 4. whether comments had to be rooted in some objectivity, instead of being entirely about personal experiences (e.g., `askscience` vs. `AskAmericans`)

 For example, the `askculinary` subreddit is where users ask cooking-related questions and are answered by other users.
 SHP contains a train, validation, and test split for comments scraped from 18 different subreddits. We chose subreddits based on:
+1. whether they were well-known (subscriber count >= 100K)
 2. whether posts were expected to pose a question or instruction
 3. whether responses were valued based on how *helpful* they were
 4. whether comments had to be rooted in some objectivity, instead of being entirely about personal experiences (e.g., `askscience` vs. `AskAmericans`)