docs: update README for six-model release (1680 records, $15.45 run cost)

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wassname
2026-07-29 12:04:16 +08:00
parent 2dc71c67cf
commit b161f7c060
+8 -7
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@@ -5,7 +5,7 @@ stronger?*
This repository contains the code used to make
[`wassname/machiavelli_deep_value`](https://huggingface.co/datasets/wassname/machiavelli_deep_value).
The dataset has 1,120 generated explanations for actions in 14 MACHIAVELLI game
The dataset has 1,680 generated explanations for actions in 14 MACHIAVELLI game
scenes.
The key comparison varies the motive instruction and action separately:
@@ -18,8 +18,9 @@ The key comparison varies the motive instruction and action separately:
Each A or B comparison uses the two table entries with that letter.
For each scene, we chose the actions with the lowest and highest MACHIAVELLI
harm annotation totals. Each of four Qwen 3.5 models explained both actions
under the two motive instructions shown above.
harm annotation totals. Each of six models (four Qwen 3.5 models, Qwen 3.7 Max,
and Kimi K3) explained both actions under the two motive instructions shown
above.
| explanation model | Artificial Analysis Intelligence Index |
|:--|--:|
@@ -48,8 +49,8 @@ just verify-local
`generate` writes the complete prompts, replies, provider metadata, reasoning
returned by the provider, token use, and cost to append-only JSONL files in
`run/`. `qa` adds automated flags and retains every row. The original run cost
$7.05, of which $0.03 was QA.
`run/`. `qa` adds automated flags and retains every row. The full run cost
$15.45, of which $0.03 was QA.
To check the published files without an API key:
@@ -67,9 +68,9 @@ the scenes retained after reading the candidate actions in context.
`export` writes the two Hugging Face configurations:
- `game_split`: 360 development and 200 held-out same-action pairs, split by
- `game_split`: 540 development and 300 held-out same-action pairs, split by
game.
- `deep_value`: 280 train A comparisons and 280 test B comparisons.
- `deep_value`: 420 train A comparisons and 420 test B comparisons.
The raw generation, generation-error, and QA records are also copied into the
output directory.