class_docstr: 加载 **People's Daily NER** 数据集的 **Loader** 。支持加载的数据格式如下::
  
      中 B-ORG
      共 I-ORG
      中 I-ORG
      央 I-ORG
  
      致 O
      中 B-ORG
      ...
  
  读取的 :class:`~fastNLP.core.DataSet` 将具备以下的数据结构：
  
  .. csv-table:: target 列是基于 BIO 的编码方式
      :header: "raw_chars", "target"
  
      "['中', '共', '中', '央']", "['B-ORG', 'I-ORG', 'I-ORG', 'I-ORG']"
      "[...]", "[...]"
class_docstr_tok: ["\u52a0\u8f7d","*","*","People","'s","Daily","NER","*","*","\u6570\u636e\u96c6\u7684","*","*","Loader","*","*","\u3002\u652f\u6301\u52a0\u8f7d\u7684\u6570\u636e\u683c\u5f0f\u5982\u4e0b",":",":","\u4e2d","B-ORG","\u5171","I-ORG","\u4e2d","I-ORG","\u592e","I-ORG","\u81f4","O","\u4e2d","B-ORG","...","\u8bfb\u53d6\u7684",":","class",":","`","~fastNLP.core.DataSet","`","\u5c06\u5177\u5907\u4ee5\u4e0b\u7684\u6570\u636e\u7ed3\u6784\uff1a","..","csv-table",":",":","target","\u5217\u662f\u57fa\u4e8e","BIO","\u7684\u7f16\u7801\u65b9\u5f0f",":","header",":","``","raw_chars","''",",","``","target","''","``","[","'","\u4e2d","'",",","'","\u5171","'",",","'","\u4e2d","'",",","'","\u592e","'","]","''",",","``","[","'","B-ORG","'",",","'","I-ORG","'",",","'","I-ORG","'",",","'","I-ORG","'","]","''","``","[","...","]","''",",","``","[","...","]","''"]
code: def __init__(self):
      super().__init__()
  
imports: import glob
  import os
  import random
  import shutil
  import time
  from typing import List
  from .loader import Loader
  from ..file_reader import _read_conll
  from fastNLP.core.dataset import DataSet, Instance
label_desc: Use image node_id 1 to create a new PeopleDailyNERLoader object from inherited base classes: CNNERLoader with example: obj = PeopleDailyNERLoader()