我下载了一些中文wikipedia数据，准备采用ChatGLMTokenizer对齐进行清洗，整理为预训练语料。

import numpy as np
import json
from tqdm import tqdm
from chatglm_tokenizer.tokenization_chatglm import ChatGLMTokenizer

tokenizer = ChatGLMTokenizer(vocab_file='./chatglm_tokenizer/tokenizer.model')

with open('./data/wikipedia-cn-20230720-filtered.json') as f:
    data = json.load(f)
    print(data[0:3])
    data = data[0:3]
    doc_ids = []
    for line in tqdm(data):
        text = line['completion']
        text_id = tokenizer.encode(text, add_special_tokens=False)
        text_id.append(tokenizer.special_tokens['<eos>'])
        # doc_ids = doc_ids+text_id
        doc_ids.append(doc_ids)
    doc_ids = np.array(doc_ids, dtype=np.uint16)

    with open('./test.bin', 'wb') as f:
        f.write(doc_ids.tobytes())

其中，chatglm_tokenizer目录下的文件如下：