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BIG-Bench Hard benchmark implementation
"""
from typing import Dict, Any, List
class BIGBenchHard:
def __init__(self):
self.benchmark_name = "BIG-Bench Hard"
self.test_cases = self._load_test_cases()
self.total_cases = len(self.test_cases)
def _load_test_cases(self) -> List[Dict]:
"""Load BIG-Bench Hard test cases"""
# This would typically load from a file or API
# For now, return a placeholder structure
return [
{
"description": "Logical reasoning problem",
"prompt": "If all cats are mammals and all mammals are animals, are all cats animals?",
"answer": "Yes"
},
{
"description": "Common sense reasoning",
"prompt": "What happens when you drop a glass on a hard floor?",
"answer": "It breaks"
},
{
"description": "Mathematical reasoning",
"prompt": "If a train travels 60 miles in 1.5 hours, what is its average speed?",
"answer": "40 mph"
}
# Add more test cases here
]
def evaluate(self, model_name: str) -> Dict[str, Any]:
"""Evaluate model against BIG-Bench Hard benchmark"""
correct_answers = 0
for i, test_case in enumerate(self.test_cases):
prompt = test_case["prompt"]
# Simulate model response
response = self._generate_response(model_name, prompt)
# Check if answer is correct
if self._check_answer(response, test_case["answer"]):
correct_answers += 1
accuracy = correct_answers / self.total_cases if self.total_cases > 0 else 0
return {
"pass_at_1": correct_answers,
"pass_at_3": correct_answers, # Simplified for now
"pass_at_5": correct_answers, # Simplified for now
"total_cases": self.total_cases,
"accuracy": accuracy,
"benchmark": self.benchmark_name
}
def _generate_response(self, model_name: str, prompt: str) -> str:
"""Generate response using the specified model"""
# This would call the actual model API
# For now, return a placeholder
return "Yes"
def _check_answer(self, response: str, correct_answer: str) -> bool:
"""Check if the response matches the correct answer"""
try:
response = response.strip().lower()
correct_answer = correct_answer.strip().lower()
# Simple string comparison for now
return response == correct_answer
except Exception as e:
return False
if __name__ == "__main__":
benchmark = BIGBenchHard()
results = benchmark.evaluate("test_model")
print(f"BIG-Bench Hard Results: {results}") |