| import json | |
| import csv | |
| if __name__ == '__main__': | |
| solution_file = 'solution_.csv' | |
| answer_dict_file_phase1 = '/system/user/publicdata/LMM_benchmarks/MMFM_challenge_final/doc-vl-eval/answer_dicts/coverted_output_test_all_datasets.json' | |
| answer_dict_file_phase2 = '/system/user/publicdata/LMM_benchmarks/MMFM_challenge_final/doc-vl-eval/answer_dicts/converted_output_test_private_for_mixtral_eval.json' | |
| with open(answer_dict_file_phase1, 'r') as f: | |
| answer_dict_phase1 = json.load(f) | |
| with open(answer_dict_file_phase2, 'r') as f: | |
| answer_dict_phase2 = json.load(f) | |
| answer_dict = {**answer_dict_phase1, **answer_dict_phase2} | |
| solution_file = 'MMFM_Challenge_solution.csv' | |
| header = ['id', 'pred', 'split'] | |
| with open(solution_file, 'w', newline='') as f: | |
| writer = csv.writer(f) | |
| writer.writerow(header) | |
| for sample_key, data_dict in answer_dict.items(): | |
| items = sample_key.split('_') | |
| GT = data_dict['ground_truth'] | |
| id_ = '_'.join(items[:-1]) | |
| writer.writerow([id_, GT, 'public']) | |
| t = 1 |