evaluate_spdocvqa.py

import argparse
import json

from evaluate_vqav2 import compute_vqa_accuracy
from evaluate_mmmu import get_input_output_paths


def merge_input_files(input_path):
    """Merge input files to a format compatible with the evaluator."""
    input_file_paths, output_file_path = get_input_output_paths(input_path, task="SPDocVQA")

    results = []

    for input_file_path in input_file_paths:
        with open(input_file_path, "r") as input_file:
            for line in input_file:
                res = json.loads(line)
                results.append(
                    {
                        "question_id": res["sample_id"],
                        "answer": res["answer"],
                        "gt_answer": res["gt_answer"],
                    }
                )

    # Make order deterministic.
    # results = sorted(results, key=lambda d: d["question_id"])

    with open(output_file_path, "w") as output_file:
        json.dump(results, output_file)

    return output_file_path


def spdocvqa_eval(input_path):
    """Run SPDocVQA evaluation."""
    result_file_path = merge_input_files(input_path)
    return compute_vqa_accuracy(result_file_path, task="SPDocVQA")


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument('--input-path', type=str, help="Path to input file(s)")
    args = parser.parse_args()

    avg_acc = spdocvqa_eval(args.input_path)

    print(f"===== SPDocVQA Accuracy {avg_acc:.2f}% =====")