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|
| import json |
| import csv |
| if __name__ == '__main__': |
| answer_dict_file = '/system/user/publicdata/LMM_benchmarks/MMFM_challenge_final/doc-vl-eval/answer_dicts/coverted_output_test_all_datasets.json' |
| answer_dict_w_question_phase1_file = '/system/user/publicdata/LMM_benchmarks/MMFM_challenge_final/doc-vl-eval/answer_dicts/converted_output_test_for_mixtral_eval.json' |
| answer_dict_w_question_phase2_file = '/system/user/publicdata/LMM_benchmarks/MMFM_challenge_final/doc-vl-eval/answer_dicts/converted_output_test_private_for_mixtral_eval.json' |
| solution_file = 'MMFM_Challenge_solution.csv' |
| category_to_sample_ids_dict_file = 'category_to_sample_ids_dict.json' |
| answer_dict_for_mixtral_eval_file = 'answer_dict_for_mixtral_eval.json' |
|
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| header = ['id', 'pred', 'split'] |
| |
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| |
| with open(answer_dict_file, 'r') as f: |
| answer_dict = json.load(f) |
| answer_dict_w_question_phase1 = json.load(open(answer_dict_w_question_phase1_file)) |
| answer_dict_w_question_phase2 = json.load(open(answer_dict_w_question_phase2_file)) |
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| answer_dict = {**answer_dict, **answer_dict_w_question_phase2} |
| answer_dict_w_question = {**answer_dict_w_question_phase1, **answer_dict_w_question_phase2} |
|
|
| category_to_sample_ids_dict = {} |
| answer_dict_for_mixtral_eval = {} |
|
|
| datasets_w_mixtral_eval_phase1 = ['docvqa', 'infographicvqa', 'websrc', 'wtq'] |
| datasets_w_mixtral_eval_phase2 = ['mydoc', 'mychart', 'myinfographic'] |
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| long_key_to_short_key_in_answer_dict = {} |
| short_key_to_long_key_in_answer_dict = {} |
| for sample_key in answer_dict.keys(): |
| short_key = '_'.join( sample_key.split('_')[:-1]) |
| long_key_to_short_key_in_answer_dict.update({sample_key: short_key}) |
| short_key_to_long_key_in_answer_dict.update({short_key: sample_key}) |
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|
| long_key_to_short_key_in_answer_dict_w_question = {} |
| short_key_to_long_key_in_answer_dict_w_question = {} |
| for sample_key in answer_dict_w_question.keys(): |
| short_key = '_'.join( sample_key.split('_')[:-1]) |
| long_key_to_short_key_in_answer_dict_w_question.update({sample_key: short_key}) |
| short_key_to_long_key_in_answer_dict_w_question.update({short_key: sample_key}) |
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|
| with open(solution_file, 'w', newline='') as f: |
| writer = csv.writer(f) |
| writer.writerow(header) |
| dataset_counter_dict = {} |
| for sample_key, data_dict in answer_dict.items(): |
| items = sample_key.split('_') |
| id_ = '_'.join(items[:-1]) |
| if items[0] in datasets_w_mixtral_eval_phase2: |
| category = items[0] |
| else: |
| if items[0] == items[1]: |
| category = items[0] |
| else: |
| category = items[0] + '_' + items[1] |
| if category not in category_to_sample_ids_dict: |
| category_to_sample_ids_dict[category] = [] |
| if category not in dataset_counter_dict: |
| dataset_counter_dict[category] = 0 |
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| |
| category_to_sample_ids_dict[category].append(id_) |
| |
| writer.writerow([id_, data_dict['ground_truth'], 'public']) |
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|
| if category in datasets_w_mixtral_eval_phase1 + datasets_w_mixtral_eval_phase2: |
| short_key = long_key_to_short_key_in_answer_dict[sample_key] |
| sample_key_w_question = short_key_to_long_key_in_answer_dict_w_question[short_key] |
| answer_dict_for_mixtral_eval.update({ |
| id_: { |
| "question_type": "short-answer", |
| "ground_truth": answer_dict_w_question[sample_key_w_question]['ground_truth'], |
| 'question': answer_dict_w_question[sample_key_w_question]['question'], |
| "dataset": category, |
| } |
| }) |
|
|
| dataset_counter_dict[category] += 1 |
| with open(category_to_sample_ids_dict_file, 'w') as f: |
| json.dump(category_to_sample_ids_dict, f) |
| with open(answer_dict_for_mixtral_eval_file, 'w') as f: |
| json.dump(answer_dict_for_mixtral_eval, f) |
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