| | import json
|
| | import multiprocessing
|
| |
|
| |
|
| | input_files = [
|
| | 'OpenHermes-2.5-Uncensored.json',
|
| | 'code_bagel.json'
|
| | ]
|
| |
|
| |
|
| | output_file = 'code_bagel_hermes-2.5.json'
|
| |
|
| | def process_file(file, output_data):
|
| | with open(file, 'r', encoding='utf-8') as f:
|
| | for line in f:
|
| | data = json.loads(line)
|
| | instruction = data['instruction']
|
| | input_data = data['input']
|
| | output = data['output']
|
| | output_data.append({
|
| | "instruction": instruction,
|
| | "input": input_data,
|
| | "output": output
|
| | })
|
| |
|
| | if __name__ == '__main__':
|
| | with multiprocessing.Manager() as manager:
|
| | output_data = manager.list()
|
| | with multiprocessing.Pool(processes=12) as pool:
|
| | pool.starmap(process_file, [(file, output_data) for file in input_files])
|
| |
|
| | with open(output_file, 'w') as f:
|
| | for obj in output_data:
|
| | json.dump(obj, f)
|
| | f.write('\n') |