def METHOD_NAME(pipeline: Pipeline, eval_set: Path) -> Dict:
    """
    Benchmark querying. This method should only be called if indexing has already been done.
    :param pipeline: Pipeline for querying documents.
    :param eval_set: Path to evaluation set.
    """
    try:
        # Load eval data
        labels, _ = load_eval_data(eval_set)
        multi_labels = aggregate_labels(labels)
        queries = [label.query for label in multi_labels]
        # Run querying
        start_time = perf_counter()
        predictions = pipeline.run_batch(queries=queries, labels=multi_labels, debug=True)
        end_time = perf_counter()
        querying_time = end_time - start_time
        # Evaluate predictions
        eval_result = pipeline._generate_eval_result_from_batch_preds(predictions_batches=predictions)
        metrics = eval_result.calculate_metrics()["Retriever"]
        retriever_type, retriever_top_k = get_retriever_config(pipeline)
        doc_store = pipeline.get_document_store()
        doc_store_type = doc_store.__class__.__name__ if doc_store else "No DocumentStore found"
        results = {
            "retriever": retriever_type,
            "doc_store": doc_store_type,
            "n_docs": doc_store.get_document_count(),
            "n_queries": len(labels),
            "querying_time": querying_time,
            "queries_per_second": len(labels) / querying_time,
            "seconds_per_query": querying_time / len(labels),
            "recall": metrics["recall_single_hit"],
            "map": metrics["map"],
            "top_k": retriever_top_k,
            "date_time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
            "error": None,
        }
    except Exception:
        tb = traceback.format_exc()
        logging.error("##### The following Error was raised while running querying run:")
        logging.error(tb)
        retriever_type, retriever_top_k = get_retriever_config(pipeline)
        doc_store = pipeline.get_document_store()
        doc_store_type = doc_store.__class__.__name__ if doc_store else "No DocumentStore found"
        results = {
            "retriever": retriever_type,
            "doc_store": doc_store_type,
            "n_docs": 0,
            "n_queries": 0,
            "retrieve_time": 0,
            "queries_per_second": 0,
            "seconds_per_query": 0,
            "recall": 0,
            "map": 0,
            "top_k": retriever_top_k,
            "date_time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
            "error": str(tb),
        }
    return results