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[pre-commit.ci] auto fixes from pre-commit.com hooks

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pre-commit-ci[bot] 2026-01-12 23:29:15 +00:00
parent 22884d2bf7
commit d84e3c70b7
16 changed files with 270 additions and 143 deletions
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31
environments/eval_environments/mmt_bench_environment.py
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@ -36,7 +36,9 @@ class MMTBench(EvalBase):
print(f"Warning: Full download failed, using streaming: {e}")
# Fallback to streaming if full download fails (known column mismatch issue)
try:
dataset = load_dataset("OpenGVLab/MMT-Bench", split=split, streaming=True)
dataset = load_dataset(
"OpenGVLab/MMT-Bench", split=split, streaming=True
)
if max_samples:
data = list(dataset.take(max_samples))
else:
@ -46,7 +48,9 @@ class MMTBench(EvalBase):
data.append(item)
if i % 5000 == 0 and i > 0:
print(f" Streamed {i} samples...")
print(f"Loaded {len(data)} examples from MMT-Bench ({split}, streaming)")
print(
f"Loaded {len(data)} examples from MMT-Bench ({split}, streaming)"
)
return data
except Exception:
raise ValueError(f"Could not load MMT-Bench dataset: {e}")
@ -92,15 +96,19 @@ class MMTBench(EvalBase):
content = []
if image_base64:
content.append({
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_base64}"},
})
content.append(
{
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_base64}"},
}
)
content.append({"type": "text", "text": prompt})
return [{"role": "user", "content": content}]
def extract_answer(self, response: str, num_choices: int) -> Tuple[Optional[str], str]:
def extract_answer(
self, response: str, num_choices: int
) -> Tuple[Optional[str], str]:
valid_letters = set(ascii_uppercase[:num_choices])
letter, method = extract_letter_from_answer_tag(response, valid_letters)
@ -134,9 +142,12 @@ class MMTBench(EvalBase):
answer = data_item.get("answer", "")
num_choices = sum(
1 for letter in ascii_uppercase[:8]
if letter in data_item and data_item[letter] is not None
and isinstance(data_item[letter], str) and data_item[letter].strip()
1
for letter in ascii_uppercase[:8]
if letter in data_item
and data_item[letter] is not None
and isinstance(data_item[letter], str)
and data_item[letter].strip()
)
num_choices = max(num_choices, 4)