# Jacobs reference set: *The Lady of the Barge* (1902) A hand-made comparison baseline for the story-to-pack pipeline, the Jacobs twin of the O. Henry reference in `../v2/claude/`. Every summary, predicament, group and option here was written by Claude reading the scenes. **No local inference was used.** Compare the local-model runs against it. Do not treat it as ground truth: it is one careful reading. | File | What it is | | --- | --- | | `corpus/lady-of-the-barge.html` | Standard Ebooks single-page text (public domain) | | `split_se.py` | → `stories.json` (12 stories, split on `

`) and `chunks.json` (157 scenes, same 320-word paragraph rule as `../chunk.py`) | | `dump.py` | `python3 dump.py A B` prints scenes A..B for reading | | `claude/batches/sNN.json` | per story: `{chunk, story, summary, predicament}`, the same schema as `../v2/claude/batches/` | | `claude/groups_src.py` | the groups, options and per-story protagonist standing | | `claude/build.py` | checks everything, then writes `claude/records.json` and `claude/groups.json` | | `claude/page.py` | → `claude/REFERENCE.html`, the readable page | Rebuild: `python3 split_se.py && cd claude && python3 build.py && python3 page.py`. ## What is in it - **157 predicaments**: one sentence each (median 19 words, max 24), written to the `redescribe.py` rules: no names, jobs, places or story-only objects. The `topic_words` leak check flags 23 of 157. All 23 are role words (rival, partner, guest, neighbour, suitor, newcomer), kept on purpose because the design's cast is roles. - **19 groups**, each a situation that recurs in **two or more stories**. Each scene sits in at most one group: 137 are assigned and 20 fit nothing that recurs. - **Options**: 3 to 5 per group, 79 in all. 61 come from what someone in a scene did (`scene:N`), 10 are archetypes and 8 fill gaps. **8 scene options cite a scene outside their own group.** That is looser than DESIGN.md's "drawn from other scenes in the cluster", and `groups.json` marks each one `in_group: false`. - **Moves**: spine paths with a direction only (`+`, `-`, `risk`, `set`). There are no magnitudes, as the design requires. Skill labels proposed for this corpus: `nerve` and `cunning`. - **Stage** comes from protagonist standing, judged **per story, not per scene**. That is the coarsest judgement in the set, recorded in `STANDING` in `groups_src.py`. ## How this corpus differs from O. Henry It is small, 12 stories against 97. It also mixes registers: comic waterfront and village yarns, plus four horror or crime stories (*The Monkey's Paw*, *The Well*, *In the Library*, *Captain Rogers*). So several groups straddle the two registers. G09 "Your scheme turns on you" holds both a comic fake-drowning and a murderer caught out. A tool that groups by register or mood, rather than by predicament, should split them.