Add outlines, detector scores and level-0 prompts, as in IdeaShift

README.md

@@ -94,10 +94,21 @@ e.g. `load_dataset("rishanthrajendhran/IdeaShift-X", split="level_5").filter(lam
 | `format` | the page's format (WebOrganizer taxonomy, one of the eight long-form formats) |
 | `words`, `text` | the document |
 | `seed_crawl_dump`, `seed_crawl_date` | Common Crawl snapshot and crawl date of the human page |
+| `system_prompt`, `prompt` | the exact generation request of a level-0 document (`system_prompt` is always "You are a skilled writer."); empty for the human pages and for level 5 |
+| `outline` | the English, role-labelled outline of this document as IdeaLens scored it (JSON string: `document_description`, `global_themes`, `items` of `role` and `content`) |
+| `idealens_p_ai`, `proselens_p_ai`, `pangram4_p_ai` | detector P(AI) as reported in the paper (IdeaLens on the outline, ProseLens and Pangram 4 on the document) |
 
 ## Caveats
 
 - URLs are not included. The FineWeb2 id identifies each page in the source dataset.
+- Outlines are the untreated outlines each document was scored on, not the paraphrased outlines used for training. The
+  level-5 prompt is assembled from a template for each document and was not stored, so `system_prompt` and `prompt` are
+  empty there.
+- Scores are stored at full precision. Rounding them ties the very small P(AI) values and moves the AUC. `pangram4_p_ai`
+  is empty for a few documents Pangram returned nothing for.
+- Flag a document at the 1% global cut, as in the paper: IdeaLens when `idealens_p_ai` is above 0.86288, Pangram 4 when
+  `pangram4_p_ai` is at least 0.5, ProseLens when `proselens_p_ai` is above 0.39461.
+- Outlines and page text can contain web addresses or e-mail addresses that were on the original page.
 
 ## Scoring
 

data/level_0.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b631c2d27ce7821aad62f21bb9a2b30c5a87bf670daa2248018ecf2aa20e001a
-size 78861381
+oid sha256:af0e72210831a50572c797d8f949d0a12de38363e4333f9940fcf653b89f5a38
+size 106752043

data/level_5.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25d3ef8c378856acb46efb3d3822ebf23a4c72eef13f3f1e53e2b5d8905aaa29
-size 65861059
+oid sha256:1ffc4ad9e5cf15d41565ad15f8a2f516d51aea294439a18389caa4607d88632c
+size 92786279

data/source.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:232f4b9a66de2253b4855e55b8ec81a851c2c6a95c7ceeed6bbdacc86f0bb0dc
-size 67695196
+oid sha256:77845a12d068c99648d6e2157281f5e61782a8caeb73db94db91260731969f2e
+size 93418394