| |
| import os |
| import json |
| import time |
| import re |
| from tqdm import tqdm |
| import numpy as np |
| import torch |
| import string |
| from typing import Optional, Tuple, List, Dict |
| import argparse |
|
|
|
|
|
|
| def load_json(file_path): |
| with open(file_path, "r", encoding="utf-8") as file: |
| data = json.load(file) |
| print(f"Loaded {len(data)} items from {file_path}") |
| return data |
|
|
| def save_json(data, file_path): |
| with open(file_path, "w", encoding="utf-8") as file: |
| json.dump(data, file, ensure_ascii=False, indent=4) |
| print(f"Saved {len(data)} items to {file_path}") |
|
|
|
|
| file_1 = "/share/project/sunshuang/deep_search/data_syn/data/mixed_data/splits/final_dataset_new/final_selected_dataset.json" |
| file_2 = "/share/project/sunshuang/deep_search/data_syn/data/mixed_data/splits/merged_tagged_domain_keypoints_keywords_count_hop_remove_2k_data/final_selected_dataset.json" |
| output_file = "/share/project/sunshuang/deep_search/data_syn/data/mixed_data/splits/merged_tagged_domain_keypoints_keywords_count_hop_remove_2k_data.json" |
| data_1 = load_json(file_1) |
| data_2 = load_json(file_2) |
|
|
| id_1 = [item["idx"] for item in data_1] |
|
|
| in_id_1 = 0 |
| not_in_id_1 = 0 |
|
|
| in_id_1_id = [] |
|
|
| dup_id = [] |
|
|
| remain_data = [] |
| for item in data_2: |
| if item["idx"] not in id_1: |
| remain_data.append(item) |
| not_in_id_1 += 1 |
| else: |
| if item["idx"] in in_id_1_id: |
| dup_id.append(item["idx"]) |
| else: |
| |
| in_id_1_id.append(item["idx"]) |
| in_id_1 += 1 |
|
|
|
|
| print(f"in_id_1: {in_id_1}, not_in_id_1: {not_in_id_1}") |
| print(f"dup_id: {len(dup_id)}") |
| |
