Topic 10: Benchmark Datasets

What You’ll Learn

This topic teaches you how to:

• Use standard benchmarks (AgentBench, WebArena)
• Create custom benchmark datasets
• Validate benchmark datasets
• Run agents on benchmarks
• Compare results across benchmarks

Why We Need This

Business Need

• Standardization: Compare agents fairly
• Reproducibility: Same benchmarks = comparable results
• Validation: Use proven test cases

Technical Need

• Benchmarks: Standard evaluation datasets
• Comparability: Compare with published results
• Validation: Test agent capabilities

Industry Use Cases

1. Research & Development

Company: Research labs, companies Use Case: Compare agents on standard benchmarks

2. Product Development

Company: Agent platforms Use Case: Validate agent capabilities

3. Competitive Analysis

Company: All companies Use Case: Compare with competitors

Industry-Standard Boilerplate Code

Benchmark Runner

"""
Benchmark Runner
Runs agents on benchmark datasets
"""
from typing import List, Dict
import json

class BenchmarkRunner:
    """Run agents on benchmarks"""
    
    def __init__(self, benchmark_path: str):
        with open(benchmark_path, 'r') as f:
            self.benchmark = json.load(f)
    
    def run(self, agent: Any) -> Dict:
        """Run agent on benchmark"""
        results = []
        for task in self.benchmark['tasks']:
            result = agent.run(task['input'])
            results.append({
                "task_id": task['id'],
                "input": task['input'],
                "expected": task['expected'],
                "actual": result,
                "correct": self._check_correctness(task['expected'], result)
            })
        
        return {
            "benchmark": self.benchmark['name'],
            "score": sum(1 for r in results if r['correct']) / len(results),
            "results": results
        }
    
    def _check_correctness(self, expected: Any, actual: Any) -> bool:
        """Check if result is correct"""
        # Simplified: In production, use sophisticated comparison
        return expected == actual

Exercises

1. Use standard benchmarks
2. Create custom benchmarks
3. Validate benchmarks
4. Compare benchmark results

Next Steps

• Topic 11: Evaluation tools
• Topic 12: Production monitoring