def aggregate(scores: Dict[str, Number], weights: Dict[str, Number]) -> Number:
        """Exact match between targets and responses."""
        filtered_scores = [s for s in scores.values() if s >= 0]
        if not filtered_scores:
            return -1
        return min(filtered_scores)
Exact match between targets and responses.
vlmeval/dataset/utils/megabench/aggregation/min_agg.py