Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
run_id: string
model: string
provider: string
track: string
task_id: string
image: string
shape: int64
color: int64
face: int64
style: int64
bufoness: int64
task_score: int64
checks: list<item: bool>
  child 0, item: bool
judge_verdict: string
judge_model: string
rubric: string
overridden: bool
expert_verdict: string
notes: string
reference_images: list<item: string>
  child 0, item: string
title: string
prompt: string
style_block: string
to
{'task_id': Value('string'), 'title': Value('string'), 'prompt': Value('string'), 'checks': List(Value('string')), 'style_block': Value('string'), 'reference_images': List(Value('string')), 'notes': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              run_id: string
              model: string
              provider: string
              track: string
              task_id: string
              image: string
              shape: int64
              color: int64
              face: int64
              style: int64
              bufoness: int64
              task_score: int64
              checks: list<item: bool>
                child 0, item: bool
              judge_verdict: string
              judge_model: string
              rubric: string
              overridden: bool
              expert_verdict: string
              notes: string
              reference_images: list<item: string>
                child 0, item: string
              title: string
              prompt: string
              style_block: string
              to
              {'task_id': Value('string'), 'title': Value('string'), 'prompt': Value('string'), 'checks': List(Value('string')), 'style_block': Value('string'), 'reference_images': List(Value('string')), 'notes': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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task_id string	title string	prompt string	checks list	style_block string	reference_images list	notes string
01-meet-proxy	Bufo proxying between two bots	Bufo happily proxying: the frog holds a horizontal yellow double-headed arrow bar, one light-blue robot head in a speech bubble on each end. All three elements in one row, centered, emoji-size readability.	[ "yellow double-arrow bar present and horizontal", "two light-blue robot heads in speech bubbles, one per side", "bufo is the middle figure holding the bar" ]	Draw BUFO, a riff on the original 'worry frog' / froge meme character (NOT a generic cute frog). Canonical look: SIMPLEX smooth construction, one anxious blob — big rounded head flowing into a squat body. FRESH leaf-green head (mid-green, alive, never olive-drab/khaki, never neon), paler sage-green belly. LARGE round e...	[ "reference/froge-original.png" ]	Regression test for the original failure. The composition is easy; bufoness is what's graded.
02-morning-coffee	Bufo holding coffee	Bufo holding a small white coffee mug with both hands, looking at it with tired deadpan eyes. A few small steam curls above the mug.	[ "white mug held in both hands", "steam curls", "tired deadpan expression, no smile" ]	Draw BUFO, a riff on the original 'worry frog' / froge meme character (NOT a generic cute frog). Canonical look: SIMPLEX smooth construction, one anxious blob — big rounded head flowing into a squat body. FRESH leaf-green head (mid-green, alive, never olive-drab/khaki, never neon), paler sage-green belly. LARGE round e...	[ "reference/froge-original.png" ]	Tests hands/props + expression discipline (models love to add a smile with coffee).
03-party-hat	Bufo with party hat	Bufo wearing a small striped party hat tilted on its head, sitting and staring blankly forward. The hat is the only festive element; the frog is unimpressed.	[ "striped party hat, tilted", "seated full-body or bust composition", "blank unimpressed expression" ]	Draw BUFO, a riff on the original 'worry frog' / froge meme character (NOT a generic cute frog). Canonical look: SIMPLEX smooth construction, one anxious blob — big rounded head flowing into a squat body. FRESH leaf-green head (mid-green, alive, never olive-drab/khaki, never neon), paler sage-green belly. LARGE round e...	[ "reference/froge-original.png" ]	Tests accessory + keeping the deadpan against a 'party' prompt that pulls toward cheerful.
04-thumbs-up	Bufo giving thumbs-up	Bufo giving a thumbs-up with one stubby arm, facing the viewer, slight awkward smirk at most.	[ "single thumbs-up gesture readable at 64px", "faces viewer", "no open-mouth smile" ]	Draw BUFO, a riff on the original 'worry frog' / froge meme character (NOT a generic cute frog). Canonical look: SIMPLEX smooth construction, one anxious blob — big rounded head flowing into a squat body. FRESH leaf-green head (mid-green, alive, never olive-drab/khaki, never neon), paler sage-green belly. LARGE round e...	[ "reference/froge-original.png" ]	Tests limb anatomy (stubby arm, rounded fingers) under a pose constraint.
05-sleeping	Bufo asleep	Bufo asleep: slumped blob posture, eyes closed as two short curved lines, a small 'Z' above its head.	[ "closed eyes as simple lines (no detailed eyelids)", "slumped/resting posture", "'Z' present" ]	Draw BUFO, a riff on the original 'worry frog' / froge meme character (NOT a generic cute frog). Canonical look: SIMPLEX smooth construction, one anxious blob — big rounded head flowing into a squat body. FRESH leaf-green head (mid-green, alive, never olive-drab/khaki, never neon), paler sage-green belly. LARGE round e...	[ "reference/froge-original.png" ]	Tests closed-eye variant while keeping color, outline, and body shape canonical.

🐸 bufo-bench

Can your image model draw a real bufo — 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 — they draw bright-green tree-frogs with stalk eyes and big smiles instead.

What's here

data/tasks.jsonl (5 rows) — 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 — ground truth: the original worry-frog (via KYM photo #2561104).
references/negative-*.png — documented off-model riffs (what "close but wrong" looks like: olive-drab, deadpan, MS-paint).
data/evaluations.jsonl (15 rows + evaluations/<run>/<task>.png) — 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 ≥ 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 — 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).

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Total file size:

14.3 MB

🐸 bufo-bench

What's here

Scoring (see the bench repo for the full rubric)

Provenance & license

Space using patrickleenyc/bufo-bench 1