bufo-bench / README.md
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bufo-bench v1: 5 tasks, froge-original ref, 15 judged evals with expert labels
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---
license: other
license_name: unknown-community-meme-benchmark-use-only
task_categories:
- text-to-image
- image-to-image
tags:
- benchmark
- image-generation-evaluation
- vision-language-judge
- frog
- meme
- bufo
pretty_name: bufo-bench
configs:
- config_name: default
data_files:
- split: tasks
path: data/tasks.jsonl
- split: evaluations
path: data/evaluations.jsonl
---
# 🐸 bufo-bench
Can your image model draw a **real bufo** β€” or does it draw a generic cute frog
and call it a day?
Bufo is a riff on the original **"worry frog" / froge** meme: simplex smooth
construction, fresh leaf-green, LARGE pale-yellow eyes with huge near-black
pupils in a worried *averted* gaze, and an iconic little nose (protruding snout,
tiny nostrils, **no mouth**). Image models reliably fail at this β€” they draw
bright-green tree-frogs with stalk eyes and big smiles instead.
## What's here
- **`data/tasks.jsonl`** (5 rows) β€” the eval set. Each row: `task_id`, `title`,
`prompt` (task instruction), `checks` (verifiable checklist), `style_block`
(shared bufo spec prepended to every generation prompt), `reference_images`,
`notes`. Run a model on all five with the `style_block` + references, then
judge.
- **`references/froge-original.png`** β€” ground truth: the original worry-frog
(via [KYM photo #2561104](https://knowyourmeme.com/photos/2561104-froge-worry-frog)).
- **`references/negative-*.png`** β€” documented off-model riffs (what "close but
wrong" looks like: olive-drab, deadpan, MS-paint).
- **`data/evaluations.jsonl`** (15 rows + `evaluations/<run>/<task>.png`) β€”
every judged output so far: model, provider, track, per-axis scores
(`shape`/`color`/`face`/`style`, 0–2 each), `bufoness` (0–8), `task_score`,
judge verdict, judge model, rubric version, and `expert_verdict` where a human
expert graded it (null = judge only).
## Scoring (see the bench repo for the full rubric)
`bufoness` = shape + color + face + style. **PASS** iff bufoness β‰₯ 6 AND all
task checks hold AND no axis is 0. Model score = pass rate over the 5 tasks.
The load-bearing discriminator is the **gaze test**: a frog that looks AT you
is not worried β€” worry means averted, half-lidded, or closed eyes with no mouth.
## Provenance & license
Reference art is community meme culture of unclear authorship (see SOURCES in the
bench repo); model outputs belong to whoever generated them. Provided for
benchmark/evaluation use. If you hold rights to the original froge and want it
handled differently, open an issue on the bench repo.
Bench code, runner, judge prompts, and eval queue:
local `bufo-bench` project (being open-sourced separately).