| import argparse |
| import csv |
| import json |
| import os |
| from glob import glob |
|
|
| from tqdm import tqdm |
|
|
|
|
| def extract_predictions_from_json(input_folder): |
|
|
| sub_folder = os.path.join(input_folder, 'submission') |
| pred_folder = os.path.join(input_folder, 'predictions') |
| if not os.path.exists(sub_folder): |
| os.makedirs(sub_folder) |
|
|
| for model_name in os.listdir(pred_folder): |
| model_folder = os.path.join(pred_folder, model_name) |
| try: |
| |
| json_paths = glob( |
| os.path.join(model_folder, 'alignment_bench_*.json')) |
| |
| json_paths = sorted( |
| json_paths, |
| key=lambda x: int(x.split('.json')[0].split('_')[-1])) |
| except Exception as e: |
| |
| print(e) |
| json_paths = [os.path.join(model_folder, 'alignment_bench.json')] |
|
|
| all_predictions = [] |
| for json_ in json_paths: |
| json_data = json.load(open(json_)) |
| for _, value in json_data.items(): |
| prediction = value['prediction'] |
| all_predictions.append(prediction) |
|
|
| |
| output_path = os.path.join(sub_folder, model_name + '_submission.csv') |
| with open(output_path, 'w', encoding='utf-8-sig') as file: |
| writer = csv.writer(file) |
| for ans in tqdm(all_predictions): |
| writer.writerow([str(ans)]) |
| print('Saved {} for submission'.format(output_path)) |
|
|
|
|
| def process_jsonl(file_path): |
| new_data = [] |
| with open(file_path, 'r', encoding='utf-8') as file: |
| for line in file: |
| json_data = json.loads(line) |
| new_dict = { |
| 'question': json_data['question'], |
| 'capability': json_data['category'], |
| 'others': { |
| 'subcategory': json_data['subcategory'], |
| 'reference': json_data['reference'], |
| 'question_id': json_data['question_id'] |
| } |
| } |
| new_data.append(new_dict) |
| return new_data |
|
|
|
|
| def save_as_json(data, output_file='./alignment_bench.json'): |
| with open(output_file, 'w', encoding='utf-8') as file: |
| json.dump(data, file, indent=4, ensure_ascii=False) |
|
|
|
|
| def parse_args(): |
| parser = argparse.ArgumentParser(description='File Converter') |
| parser.add_argument('--mode', |
| default='json', |
| help='The mode of convert to json or convert to csv') |
| parser.add_argument('--jsonl', |
| default='./data_release.jsonl', |
| help='The original jsonl path') |
| parser.add_argument('--json', |
| default='your prediction file path', |
| help='The results json path') |
| parser.add_argument('--exp-folder', help='The results json name') |
| args = parser.parse_args() |
| return args |
|
|
|
|
| if __name__ == '__main__': |
| args = parse_args() |
| mode = args.mode |
| if mode == 'json': |
| processed_data = process_jsonl(args.jsonl) |
| save_as_json(processed_data) |
| elif mode == 'csv': |
| extract_predictions_from_json(args.exp_folder) |
|
|
