将TransC算法测试的instanceOf2id.txt、subClassOf2id.txt、triple2id.txt文件转成一个用来测试pkl文件的代码

以下是一个简单的Python代码，可以将TransC算法测试所需的instanceOf2id.txt、subClassOf2id.txt、triple2id.txt文件转换为适用于测试pkl文件的代码：

import pickle

# 加载instanceOf2id.txt文件数据
with open("instanceOf2id.txt", "r") as f:
    instanceOf_data = f.readlines()
instanceOf_data = [x.strip().split() for x in instanceOf_data]

# 加载subClassOf2id.txt文件数据
with open("subClassOf2id.txt", "r") as f:
    subClassOf_data = f.readlines()
subClassOf_data = [x.strip().split() for x in subClassOf_data]

# 加载triple2id.txt文件数据
with open("triple2id.txt", "r") as f:
    triple2id_data = f.readlines()
triple2id_data = [x.strip().split() for x in triple2id_data]

# 将数据转换为测试pkl文件格式
test_data = {
    "instanceOf": {},
    "subclassOf": {},
    "triples": []
}

# 处理instanceOf2id.txt数据
for data in instanceOf_data:
    entity_id = int(data[0])
    class_id = int(data[1])
    if class_id not in test_data["instanceOf"]:
        test_data["instanceOf"][class_id] = []
    test_data["instanceOf"][class_id].append(entity_id)

# 处理subClassOf2id.txt数据
for data in subClassOf_data:
    class_id = int(data[0])
    parent_id = int(data[1])
    if class_id not in test_data["subclassOf"]:
        test_data["subclassOf"][class_id] = []
    test_data["subclassOf"][class_id].append(parent_id)

# 处理triple2id.txt数据
for data in triple2id_data:
    head_id = int(data[0])
    tail_id = int(data[2])
    relation_id = int(data[1])
    test_data["triples"].append((head_id, relation_id, tail_id))

# 将测试数据保存为pkl文件
with open("test_data.pkl", "wb") as f:
    pickle.dump(test_data, f)

这个代码将会生成一个名为test_data.pkl的二进制文件，其包含了instanceOf、subclassOf和triples三个数据集。你可以使用pickle模块来加载这个文件，并将其用于测试你的TransC算法。