text: # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  import collections
  import json
  import os
  
  from paddle.dataset.common import md5file
  from paddle.utils.download import get_path_from_url
  from paddlenlp.utils.env import DATA_HOME
  from . import DatasetBuilder
  
  __all__ = ['NLPCC13EVSAM05THU']
  
  
  class NLPCC13EVSAM05THU(DatasetBuilder):
      """
      NLPCC13_EVSAM05_THU is the dataset for dependency parsing.
      The format of this dataset is based on the CoNLL-X style:
  
          '''
          raw name        definition 
  
          ID              Token counter, starting at 1 for each new sentence.
          FORM            Word form or punctuation symbol.
          LEMMA           Lemma or stem (depending on the particular treebank) of word form, or an underscore if not available.
          CPOSTAG         Coarse-grained part-of-speech tag, where the tagset depends on the treebank.
          POSTAG          Fine-grained part-of-speech tag, where the tagset depends on the treebank.
          FEATS           Unordered set of syntactic and/or morphological features (depending on the particular treebank), or an underscore if not available.
          HEAD            Head of the current token, which is either a value of ID, or zero (’0’) if the token links to the virtual root node of the sentence.
          DEPREL          Dependency relation to the HEAD.
          '''
      """
  
      URL = 'https://bj.bcebos.com/paddlenlp/datasets/nlpcc13_evsam05_thu.tar.gz'
      MD5 = '297ad22217ba4668d49580009810446e'
      META_INFO = collections.namedtuple('META_INFO', ('file', 'md5'))
      SPLITS = {
          'train': META_INFO(
              os.path.join('nlpcc13_evsam05_thu', 'train.conll'),
              'c7779f981203b4ecbe5b04c65aaaffce'),
          'dev': META_INFO(
              os.path.join('nlpcc13_evsam05_thu', 'dev.conll'),
              '59c2de72c7be39977f766e8290336dac'),
          'test': META_INFO(
              os.path.join('nlpcc13_evsam05_thu', 'test.conll'),
              '873223b42060ce16a7e24545e43a933f'),
      }
  
      def _get_data(self, mode, **kwargs):
          """Downloads dataset."""
          default_root = os.path.join(DATA_HOME, self.__class__.__name__)
          filename, data_hash = self.SPLITS[mode]
          fullname = os.path.join(default_root, filename)
          if not os.path.exists(fullname) or (data_hash and
                                              not md5file(fullname) == data_hash):
              get_path_from_url(self.URL, default_root, self.MD5)
  
          return fullname
  
      def _read(self, filename, split):
          start = 0
          with open(filename, 'r', encoding='utf-8') as f:
              lines = []
              for line in f.readlines():
                  if not line.startswith(" "):
                      if not line.startswith('#') and (len(line) == 1 or
                                                       line.split()[0].isdigit()):
                          lines.append(line.strip())
                  else:
                      lines.append("")
  
          for i, line in enumerate(lines):
              if not line:
                  values = list(zip(* [j.split('\t') for j in lines[start:i]]))
  
                  ID, FORM, LEMMA, CPOS, POS, FEATS, HEAD, DEPREL = values
                  if values:
                      yield {
                          "ID": ID,
                          "FORM": FORM,
                          "LEMMA": LEMMA,
                          "CPOS": CPOS,
                          "POS": POS,
                          "FEATS": FEATS,
                          "HEAD": HEAD,
                          "DEPREL": DEPREL,
                      }
                  start = i + 1
  