Update README.md

README.md

@@ -90,6 +90,11 @@ where the fields are:
 The data is sourced from Reddit, which is a public forum organized into topic-specific fora called *subreddits*.
 For example, the `askculinary` subreddit is where users ask cooking-related questions and are answered by other users.
 
+The score of a post/comment is the number of upvotes it gets from users, minus the number of downvotes it gets.
+The value of a score is relative; in subreddits(posts) with more traffic, there will be more higher-scoring posts(comments).
+Within a post, comments posted earlier will tend to have a higher score simply due to having more exposure.
+
+
 ### Subreddit Selection
 
 This may be due to the aggregate human preferences in SHP being more stable easier to predict than the individual human preferences in the Anthropic data, as well as our strict data filtering described above.
@@ -130,7 +135,7 @@ Given a post P and two comments (A,B) we only included the preference A > B in t
 1. A was written *no later than* B and A has a higher score than B.
 2. The post is a self-post (i.e., a body of text and not a link to another page) made before 2023, was not edited, and is not NSFW (over 18).
 3. Neither comment was made by a deleted user, a moderator, or the post creator. The post was not made by a deleted user or moderator.
-4. The post P has a score >= 10 and each comment has a score >= 2 (upvoted at least once).
+4. The post has a score >= 10 and each comment has a score >= 2 (upvoted at least once).
 
 Reddit makes it very difficult to get anything beyond the top 1000 posts for subreddit.
 We started with the top-scoring 1000 posts (of all time) and searched for the 25 most similar posts to each one using the Reddit search function.