train_test_split.py

import json
import random

# 读取 JSON 文件
def load_json(file_path):
    with open(file_path, 'r', encoding='utf-8') as f:
        data = json.load(f)
    return data

# 划分数据集
def split_data(index_list, train_ratio=0.8):
    random.shuffle(index_list)  # 打乱数据集
    split_point = int(len(index_list) * train_ratio)
    train_set = sorted(index_list[:split_point])  # 训练集排序
    test_set = sorted(index_list[split_point:])  # 测试集排序
    return train_set, test_set

# 保存 JSON 文件
def save_json(data, file_path):
    with open(file_path, 'w', encoding='utf-8') as f:
        json.dump(data, f, ensure_ascii=False, indent=4)

# 运行
if __name__ == "__main__":
    input_file = "/home/panwen.hu/workspace/jian.zhang/EAI/EAI2025/pixmo-points/Datasets/valid_one_points_indices.json"  # 原始JSON文件
    output_file = "./Datasets/valid_one_points_indices_split.json"  # 保存新数据的JSON文件
    
    data = load_json(input_file)
    index_list = data.get("index", [])
    
    train_set, test_set = split_data(index_list, train_ratio=0.996374199)
    print(len(train_set),len(test_set))
    
    new_data = {
        "train": train_set,
        "test": test_set
    }
    
    save_json(new_data, output_file)
    print("数据集划分完成，已保存到", output_file)