Update README.md

README.md

@@ -6,6 +6,29 @@ source_datasets: tau/scrolls
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 # qmsum-cleaned
 
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+
+## prefixes
+
+
+It's worth noting that each "document" in `input` is prefixed by a question/prompt on what the model is supposed to do. **You may want to explicitly handle this in some way, or prefix your models trained on this dataset.**
+
+
+Most frequent "prefixes" separated via [sentence-splitter](https://github.com/mediacloud/sentence-splitter) in the `train` split:
+
+|    | Sentence                                                                      |   Count |
+|---:|:------------------------------------------------------------------------------|--------:|
+|  0 | Summarize the whole meeting.                                                  |     121 |
+|  1 | Summarize the meeting                                                         |      25 |
+|  2 | What did the team discuss about the product cost?                             |       4 |
+|  3 | How did Marketing design the product evaluation?                              |       4 |
+|  4 | Summarize the wrap up of the meeting.                                         |       3 |
+|  5 | What did the group discuss about user requirements of the new remote control? |       3 |
+|  6 | What did the team discuss during the product evaluation?                      |       3 |
+|  7 | Summarize the meeting.                                                        |       2 |
+|  8 | Summarize what was said about digits form                                     |       2 |
+|  9 | What was discussed in the meeting?                                            |       2 |
+
 ## token counts
 
 ![counts](https://i.imgur.com/rARAOvr.png)