Update README.md

README.md

@@ -32,8 +32,13 @@ Since the comment score is also a noisy estimate of the comment's utility, the s
 We did not allow edited posts, since that opens the possibility of one comment being written with more context than another.
 
 SHP compares favorably to other preference datasets. 
-The input in SHP contains X bits of [FLANT5-usable information](https://icml.cc/virtual/2022/oral/16634) about the preference label, compared to only Y bits in [Anthropic's HH-RLHF dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf).
-This may be due to the aggregate human preferences in SHP being easier to predict than the individual human preferences in the Anthropic data, as well as the strict data filtering described above.
+The input in SHP contains more [FLANT5-usable information](https://icml.cc/virtual/2022/oral/16634) about the preference label than in [Anthropic's HH-RLHF dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf):
+
+| Dataset              | Input                      | Output                       | Bits of FLANT5-Usable Information |
+| -------------------- | -------------------------- | ---------------------------- | ------------------- |
+| SHP                  | Reddit post and comments   | Aggregate Preference Label   |                     |
+| Anthropic/HH-RLHF    | Dialogue history with LLM  | Individual Preference Label  |                     |
+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.
 
 
 ## Files
@@ -47,8 +52,7 @@ We chose subreddits based on:
 3. whether comments had to be rooted in some objectivity, instead of being entirely about personal experiences (e.g., `askscience` vs. `AskAmericans`)
 
 The train/validation/test splits were created by splitting the post IDs of a subreddit in 90%/5%/5% proportions respectively, so that no post would appear in multiple splits.
-Since different posts have different numbers of comments, the number of preferences in each split is not exactly 90%/5%/5%, but fairly close to it.
-
+Since different posts have different numbers of comments, the number of preferences in each split is not exactly 90%/5%/5%.
 |                    |    train | validation | test | total |
 |--------------------|---------:|-----------:|-----:|-------:
 | Number of Examples |   198556 |      10555 |10454 | 219565|