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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 | |
| # πΈ 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`, 0β2 each), `bufoness` (0β8), `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). | |