代码地址：https://github.com/davidfan1224/CAIL2021_Multi-span_MRC
代码语言：javascript复制class SquadExample(object):
"""
A single training/test example for the Squad dataset.
For examples without an answer, the start and end position are -1.
"""
def __init__(self,
qas_id,
question_text,
doc_tokens,
orig_answer_text=None,
start_position=None,
end_position=None,
is_impossible=None,
is_yes=None,
is_no=None,
labels=None):
self.qas_id = qas_id
self.question_text = question_text
self.doc_tokens = doc_tokens
self.orig_answer_text = orig_answer_text
self.start_position = start_position
self.end_position = end_position
self.is_impossible = is_impossible
self.is_yes = is_yes
self.is_no = is_no
self.labels = labels
def __str__(self):
return self.__repr__()
# def __repr__(self):
# s = ""
# s = "qas_id: %s" % (self.qas_id) 'n'
# s = ", question_text: %s" % (
# self.question_text) 'n'
# s = ", doc_tokens: [%s]" % (" ".join(self.doc_tokens)) 'n'
# if self.start_position:
# s = ", start_position: %s" % (str(self.start_position)) 'n'
# if self.end_position:
# s = ", end_position: %s" % (str(self.end_position)) 'n'
# if self.is_impossible:
# s = ", is_impossible: %r" % (self.is_impossible) 'n'
# return s
def __repr__(self):
string = ""
for key, value in self.__dict__.items():
string = f"{key}: {value}n"
return f"<{string}>"
def read_squad_examples(input_file, is_training, version_2_with_negative):
"""Read a SQuAD json file into a list of SquadExample."""
with open(input_file, "r", encoding='utf-8') as reader:
input_data = json.load(reader)["data"]
def is_whitespace(c):
if c == " " or c == "t" or c == "r" or c == "n" or ord(c) == 0x202F:
return True
return False
examples = []
change_ques_num = 0
for entry in tqdm(input_data, desc='convert examples:'):
for paragraph in entry["paragraphs"]:
paragraph_text = paragraph["context"]
doc_tokens = []
char_to_word_offset = []
# 这里直接是按照字符进行划分的
for c in paragraph_text:
doc_tokens.append(c)
char_to_word_offset.append(len(doc_tokens) - 1)
for qa in paragraph["qas"]:
qas_id = qa["id"]
question_text = qa["question"]
if question_text != qa['question']:
change_ques_num = 1
start_position = None
end_position = None
orig_answer_text = None
# 多答案：
start_positions = []
end_positions = []
orig_answer_texts = []
is_impossible = False
is_yes = False
is_no = False
labels = ['O'] * len(doc_tokens)
if is_training:
if version_2_with_negative:
if qa['is_impossible'] == 'false':
is_impossible = False
else:
is_impossible = True
# 下面这一行将不坑回答的问题进行过滤掉了
if (len(qa["answers"]) != 1) and (not is_impossible):
continue
if not is_impossible:
all_answers = qa["answers"]
if len(all_answers) == 0:
answers = []
else:
answers = all_answers[0]
if type(answers) == dict:
answers = [answers]
for answer in answers:
orig_answer_text = answer["text"]
answer_offset = answer["answer_start"]
answer_length = len(orig_answer_text)
start_position = char_to_word_offset[answer_offset]
end_position = char_to_word_offset[answer_offset answer_length - 1]
# Only add answers where the text can be exactly recovered from the
# document. If this CAN'T happen it's likely due to weird Unicode
# stuff so we will just skip the example.
#
# Note that this means for training mode, every example is NOT
# guaranteed to be preserved.
actual_text = "".join(doc_tokens[start_position:(end_position 1)])
cleaned_answer_text = " ".join(
whitespace_tokenize(orig_answer_text))
if actual_text.find(cleaned_answer_text) == -1:
if cleaned_answer_text == 'YES':
is_yes = True
orig_answer_text = 'YES'
start_position = -1
end_position = -1
labels = ['O'] * len(doc_tokens)
start_positions.append(start_position)
end_positions.append(end_position)
orig_answer_texts.append(orig_answer_text)
elif cleaned_answer_text == 'NO':
is_no = True
start_position = -1
end_position = -1
orig_answer_text = 'NO'
labels = ['O'] * len(doc_tokens)
start_positions.append(start_position)
end_positions.append(end_position)
orig_answer_texts.append(orig_answer_text)
else:
logger.warning("Could not find answer: '%s' vs. '%s'",
actual_text, cleaned_answer_text)
continue
else:
start_positions.append(start_position)
end_positions.append(end_position)
orig_answer_texts.append(orig_answer_text)
start_index = answer['answer_start']
end_index = start_index len(answer['text'])
labels[start_index: end_index] = ['I'] * (len(answer['text'])) # 是答案的用I标记，否则用O标记
else:
start_position = -1
end_position = -1
orig_answer_text = ""
start_positions.append(start_position)
end_positions.append(end_position)
orig_answer_texts.append(orig_answer_text)
labels = ['O'] * len(doc_tokens)
example = SquadExample(
qas_id=qas_id,
question_text=question_text,
doc_tokens=doc_tokens,
orig_answer_text=orig_answer_texts,
start_position=start_positions,
end_position=end_positions,
is_impossible=is_impossible,
is_yes=is_yes,
is_no=is_no,
labels=labels)
examples.append(example)
return examples
if __name__ == '__main__':
data_file = 'data_sample/cail2021_mrc_small.json'
examples = read_squad_examples(data_file, is_training=True, version_2_with_negative=True)
print(examples[0])<qas_id: 3
question_text: 伤者被送往哪些医院？
doc_tokens: ['经', '审', '理', '查', '明', ':', '2', '0', '1', '4', '年', '8', '月', '6', '日', '上', '午', '约', '7', '点', ',', '原', '告', '黄', 'x', '0', '来', '到', '被', '告', '胡', 'x', '3', '经', '营', '的', '水', '泥', '店', '内', '购', '买', '两', '包', '水', '泥', ',', '由', '原', '告', '及', '其', '临', '时', '雇', '来', '的', '三', '轮', '车', '夫', '自', '行', '负', '责', '搬', '运', '水', '泥', '。', '在', '搬', '运', '过', '程', '中', ',', '被', '告', '店', '内', '堆', '放', '的', '水', '泥', '倒', '塌', '下', '来', '将', '原', '告', '砸', '伤', '。', '当', '天', '上', '午', ',', '原', '告', '被', '送', '往', '乐', '清', '市', '第', '三', '人', '民', '医', '院', ',', '经', '门', '诊', '检', '查', '诊', '断', '为', '“', '腰', '2', '、', '3', '椎', '体', '骨', '折', '、', '左', '内', '踝', '骨', '折', '”', ',', '共', '支', '出', '医', '疗', '费', '6', '7', '1', '元', '。', '因', '病', '情', '严', '重', ',', '当', '天', '转', '入', '温', '州', '医', '科', '大', '学', '附', '属', '第', '二', '医', '院', '进', '行', '住', '院', '治', '疗', ',', '于', '2', '0', '1', '4', '年', '8', '月', '1', '1', '日', '在', '全', '麻', '下', '行', '“', '腰', '椎', '骨', '折', '切', '复', '减', '压', '内', '固', '定', '术', '”', '和', '“', '左', '内', '踝', '骨', '折', '内', '固', '定', '术', '”', ',', '于', '2', '0', '1', '4', '年', '8', '月', '2', '1', '日', '出', '院', ',', '共', '计', '支', '出', '住', '院', '费', '用', '5', '4', '5', '0', '5', '.', '5', '7', '元', '。', '经', '本', '院', '委', '托', '温', '州', '天', '正', '司', '法', '鉴', '定', '所', '鉴', '定', ',', '原', '告', '的', '残', '疾', '程', '度', '为', '九', '级', ',', '营', '养', '期', '限', '评', '定', '为', '3', '个', '月', '(', '从', '受', '伤', '之', '日', '起', '计', '算', ')', ',', '二', '期', '手', '术', '(', '拆', '除', '内', '固', '定', ')', '的', '营', '养', '期', '限', '评', '定', '为', '半', '个', '月', ',', '后', '续', '治', '疗', '费', '约', '需', '1', '0', '0', '0', '0', '元', '或', '按', '实', '际', '合', '理', '发', '生', '费', '用', '为', '准', '。', '原', '告', '住', '院', '治', '疗', '及', '出', '院', '后', ',', '被', '告', '胡', 'x', '3', '及', '其', '儿', '子', '曾', '去', '探', '望', '并', '送', '上', '营', '养', '品', '。', '双', '方', '就', '赔', '偿', '事', '宜', '无', '法', '达', '成', '一', '致', '意', '见', ',', '故', '涉', '诉', '。', '以', '上', '事', '实', ',', '有', '原', '告', '身', '份', '证', '、', '两', '被', '告', '户', '籍', '证', '明', '、', '门', '诊', '病', '历', '及', '发', '票', '六', '份', '、', '住', '院', '费', '用', '发', '票', '及', '清', '单', '、', '出', '院', '记', '录', '、', '医', '疗', '证', '明', '书', '、', '司', '法', '鉴', '定', '意', '见', '书', '、', '鉴', '定', '费', '发', '票', '及', '庭', '审', '笔', '录', '在', '案', '佐', '证', ',', '本', '院', '予', '以', '认', '定', '。', '原', '告', '提', '供', '的', '视', '频', '资', '料', ',', '可', '以', '证', '明', '被', '告', '胡', 'x', '3', '确', '认', '原', '告', '在', '其', '经', '营', '的', '水', '泥', '店', '内', '被', '水', '泥', '砸', '伤', '的', '事', '实', ',', '故', '本', '院', '予', '以', '认', '定', ';', '被', '告', '提', '供', '的', '视', '频', '资', '料', ',', '虽', '然', '可', '以', '显', '示', '其', '经', '营', '的', '水', '泥', '店', '内', '有', '两', '处', '位', '置', '张', '贴', '警', '示', '标', '语', ',', '但', '难', '以', '达', '到', '被', '告', '主', '张', '的', '其', '已', '尽', '到', '安', '全', '注', '意', '义', '务', ',', '对', '本', '案', '事', '故', '的', '发', '生', '不', '存', '在', '过', '错', '的', '待', '证', '事', '实', '的', '证', '明', '标', '准', ',', '故', '本', '院', '不', '予', '采', '纳', '。']
orig_answer_text: ['乐清市第三人民医院', '温州医科大学附属第二医院']
start_position: [106, 162]
end_position: [114, 173]
is_impossible: False
is_yes: False
is_no: False
labels: ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O']
>这里需要注意的有两点：
- 这里最初的切分是以字符进行切分的。
- 有一个labels，这里和文本的长度是一致的，以序列标注的IO格式进行标注，如果是YES和NO类的，那么labels里面就全部是O。
接着就是将每一个example转换为feature了：
代码语言：javascript复制class InputFeatures(object):
"""A single set of features of data."""
def __init__(self,
unique_id,
example_index,
doc_span_index,
tokens,
token_to_orig_map,
token_is_max_context,
input_ids,
input_mask,
segment_ids,
paragraph_len,
label_id=None,
start_position=None,
end_position=None,
is_impossible=None,
unk_mask=None,
yes_mask=None,
no_mask=None,
answer_mask=None,
answer_num=None
):
self.unique_id = unique_id
self.example_index = example_index
self.doc_span_index = doc_span_index
self.tokens = tokens
self.token_to_orig_map = token_to_orig_map
self.token_is_max_context = token_is_max_context
self.input_ids = input_ids
self.input_mask = input_mask
self.segment_ids = segment_ids
self.paragraph_len = paragraph_len
self.label_id = label_id
self.start_position = start_position
self.end_position = end_position
self.is_impossible = is_impossible
self.unk_mask = unk_mask
self.yes_mask = yes_mask
self.no_mask = no_mask
self.answer_mask = answer_mask
self.answer_num = answer_num
def __repr__(self):
string = ""
for key, value in self.__dict__.items():
string = f"{key}: {value}n"
return f"<{string}>"
def convert_examples_to_features(examples, tokenizer, max_seq_length,
doc_stride, max_query_length, is_training, max_n_answers=1):
"""Loads a data file into a list of `InputBatch`s."""
unique_id = 1000000000
features = []
unk_tokens = {}
label_map = {'O': 0, 'I': 1}
convert_token_list = {
'“': '"', "”": '"', '…': '...', '﹤': '<', '﹥': '>', '‘': "'", '’': "'",
'﹪': '%', 'Ⅹ': 'x', '―': '-', '—': '-', '﹟': '#', '㈠': '一'
}
example_index = 0
for example in tqdm(examples, desc='convert_examples_to_features:'):
# 对问题进行分词
query_tokens = tokenizer.tokenize(example.question_text)
# 如果问题的最大长度超过了设置的则截断
if len(query_tokens) > max_query_length:
query_tokens = query_tokens[0:max_query_length]
labellist = example.labels
tok_to_orig_index = []
orig_to_tok_index = []
all_doc_tokens = []
for (i, token) in enumerate(example.doc_tokens):
orig_to_tok_index.append(len(all_doc_tokens))
sub_tokens = tokenizer.tokenize(token)
if "[UNK]" in sub_tokens:
if token in unk_tokens:
unk_tokens[token] = 1
else:
unk_tokens[token] = 1
for sub_token in sub_tokens:
tok_to_orig_index.append(i)
all_doc_tokens.append(sub_token)
tok_start_position = None
tok_end_position = None
# multi answers
tok_start_positions = []
tok_end_positions = []
if is_training and example.is_impossible:
tok_start_position = -1
tok_end_position = -1
tok_start_positions.append(-1)
tok_end_positions.append(-1)
if is_training and not example.is_impossible:
for orig_answer_text, start_position, end_position in zip(example.orig_answer_text, example.start_position, example.end_position):
tok_start_position = orig_to_tok_index[start_position]
if end_position < len(example.doc_tokens) - 1:
tok_end_position = orig_to_tok_index[end_position 1] - 1
else:
tok_end_position = len(all_doc_tokens) - 1
(tok_start_position, tok_end_position) = _improve_answer_span(
all_doc_tokens, tok_start_position, tok_end_position, tokenizer,
orig_answer_text)
tok_start_positions.append(tok_start_position)
tok_end_positions.append(tok_end_position)
# The -3 accounts for [CLS], [SEP] and [SEP]
max_tokens_for_doc = max_seq_length - len(query_tokens) - 3
# We can have documents that are longer than the maximum sequence length.
# To deal with this we do a sliding window approach, where we take chunks
# of the up to our max length with a stride of `doc_stride`.
_DocSpan = collections.namedtuple( # pylint: disable=invalid-name
"DocSpan", ["start", "length"])
doc_spans = []
start_offset = 0
while start_offset < len(all_doc_tokens):
length = len(all_doc_tokens) - start_offset
if length > max_tokens_for_doc:
length = max_tokens_for_doc
doc_spans.append(_DocSpan(start=start_offset, length=length))
if start_offset length == len(all_doc_tokens):
break
start_offset = min(length, doc_stride)
while start_offset < len(all_doc_tokens) and all_doc_tokens[start_offset - 1] != "," and all_doc_tokens[start_offset - 1] != "。": # 滑窗 保留完整一句话 此处是英文的，
start_offset = 1
for (doc_span_index, doc_span) in enumerate(doc_spans):
tokens = []
token_to_orig_map = {}
token_is_max_context = {}
segment_ids = []
doc_span_labels = []
label_ids = []
tokens.append("[CLS]")
segment_ids.append(0)
label_ids.append(label_map["O"])
for token in query_tokens:
tokens.append(token)
segment_ids.append(0)
label_ids.append(label_map["O"])
tokens.append("[SEP]")
segment_ids.append(0)
label_ids.append(label_map["O"])
for i in range(doc_span.length):
split_token_index = doc_span.start i
doc_span_labels.append(labellist[split_token_index])
for i in range(doc_span.length):
split_token_index = doc_span.start i
token_to_orig_map[len(tokens)] = tok_to_orig_index[split_token_index]
is_max_context = _check_is_max_context(doc_spans, doc_span_index,
split_token_index)
token_is_max_context[len(tokens)] = is_max_context
tokens.append(all_doc_tokens[split_token_index])
segment_ids.append(1)
label_ids.append(label_map[doc_span_labels[i]])
paragraph_len = doc_span.length
tokens.append("[SEP]")
segment_ids.append(1)
label_ids.append(label_map["O"])
input_ids = tokenizer.convert_tokens_to_ids(tokens)
# The mask has 1 for real tokens and 0 for padding tokens. Only real
# tokens are attended to.
input_mask = [1] * len(input_ids)
# Zero-pad up to the sequence length.
while len(input_ids) < max_seq_length:
input_ids.append(0)
input_mask.append(0)
segment_ids.append(0)
label_ids.append(label_map["O"])
assert len(input_ids) == max_seq_length
assert len(input_mask) == max_seq_length
assert len(segment_ids) == max_seq_length
span_is_impossible = example.is_impossible
start_position = None
end_position = None
# multi answers
start_positions = []
end_positions = []
if is_training and not example.is_impossible:
doc_start = doc_span.start
doc_end = doc_span.start doc_span.length - 1
for tok_start_position, tok_end_position in zip(tok_start_positions, tok_end_positions): # 多个答案 计算各自起始位置
out_of_span = False
if not (tok_start_position >= doc_start and
tok_end_position <= doc_end):
out_of_span = True
if out_of_span:
start_position = max_seq_length
end_position = max_seq_length
else:
doc_offset = len(query_tokens) 2
start_position = tok_start_position - doc_start doc_offset
end_position = tok_end_position - doc_start doc_offset
start_positions.append(start_position)
end_positions.append(end_position)
unk_mask, yes_mask, no_mask = [0], [0], [0]
if is_training and example.is_impossible: # no answer
start_position = max_seq_length
end_position = max_seq_length
unk_mask = [1]
if start_positions:
start_positions.clear()
end_positions.clear()
start_positions.append(start_position)
end_positions.append(end_position)
else:
start_positions.append(start_position)
end_positions.append(end_position)
elif is_training and example.is_yes: # YES
start_position = max_seq_length 1
end_position = max_seq_length 1
yes_mask = [1]
if start_positions:
start_positions.clear()
end_positions.clear()
start_positions.append(start_position)
end_positions.append(end_position)
else:
start_positions.append(start_position)
end_positions.append(end_position)
elif is_training and example.is_no: # NO
start_position = max_seq_length 2
end_position = max_seq_length 2
no_mask = [1]
if start_positions:
start_positions.clear()
end_positions.clear()
start_positions.append(start_position)
end_positions.append(end_position)
else:
start_positions.append(start_position)
end_positions.append(end_position)
# 如果答案列表长度 大于设置的阈值最大答案数量 则随机选择
if len(start_positions) > max_n_answers:
idxs = np.random.choice(len(start_positions), max_n_answers, replace=False)
st = []
en = []
for idx in idxs:
st.append(start_positions[idx])
en.append(end_positions[idx])
start_positions = st
end_positions = en
answer_num = len(start_positions) if not example.is_impossible else 0
answer_mask = [1 for _ in range(len(start_positions))]
for _ in range(max_n_answers - len(start_positions)):
start_positions.append(0)
end_positions.append(0)
answer_mask.append(0)
features.append(
InputFeatures(
unique_id=unique_id,
example_index=example_index,
doc_span_index=doc_span_index,
tokens=tokens,
token_to_orig_map=token_to_orig_map,
token_is_max_context=token_is_max_context,
input_ids=input_ids,
input_mask=input_mask,
segment_ids=segment_ids,
paragraph_len=paragraph_len,
start_position=start_positions,
end_position=end_positions,
is_impossible=example.is_impossible,
unk_mask=unk_mask,
yes_mask=yes_mask,
no_mask=no_mask,
answer_mask=answer_mask,
answer_num=answer_num,
label_id=label_ids
))
unique_id = 1
example_index = 1
if is_training:
with open("unk_tokens_clean", "w", encoding="utf-8") as fh:
for key, value in unk_tokens.items():
fh.write(key " " str(value) "n")
return features
tokenizer = BertTokenizer.from_pretrained('model_hub/chinese-bert-wwm-ext/')
features, output_examples = convert_examples_to_features(examples, tokenizer, 512, 128, 64, True, max_n_answers=3)
for i, (example, feature) in enumerate(zip(output_examples, features)):
if i < 10:
print(example)
print(feature)
print("="*100)结果：
代码语言：javascript复制<qas_id: 3
question_text: 伤者被送往哪些医院？
doc_tokens: ['经', '审', '理', '查', '明', ':', '2', '0', '1', '4', '年', '8', '月', '6', '日', '上', '午', '约', '7', '点', ',', '原', '告', '黄', 'x', '0', '来', '到', '被', '告', '胡', 'x', '3', '经', '营', '的', '水', '泥', '店', '内', '购', '买', '两', '包', '水', '泥', ',', '由', '原', '告', '及', '其', '临', '时', '雇', '来', '的', '三', '轮', '车', '夫', '自', '行', '负', '责', '搬', '运', '水', '泥', '。', '在', '搬', '运', '过', '程', '中', ',', '被', '告', '店', '内', '堆', '放', '的', '水', '泥', '倒', '塌', '下', '来', '将', '原', '告', '砸', '伤', '。', '当', '天', '上', '午', ',', '原', '告', '被', '送', '往', '乐', '清', '市', '第', '三', '人', '民', '医', '院', ',', '经', '门', '诊', '检', '查', '诊', '断', '为', '“', '腰', '2', '、', '3', '椎', '体', '骨', '折', '、', '左', '内', '踝', '骨', '折', '”', ',', '共', '支', '出', '医', '疗', '费', '6', '7', '1', '元', '。', '因', '病', '情', '严', '重', ',', '当', '天', '转', '入', '温', '州', '医', '科', '大', '学', '附', '属', '第', '二', '医', '院', '进', '行', '住', '院', '治', '疗', ',', '于', '2', '0', '1', '4', '年', '8', '月', '1', '1', '日', '在', '全', '麻', '下', '行', '“', '腰', '椎', '骨', '折', '切', '复', '减', '压', '内', '固', '定', '术', '”', '和', '“', '左', '内', '踝', '骨', '折', '内', '固', '定', '术', '”', ',', '于', '2', '0', '1', '4', '年', '8', '月', '2', '1', '日', '出', '院', ',', '共', '计', '支', '出', '住', '院', '费', '用', '5', '4', '5', '0', '5', '.', '5', '7', '元', '。', '经', '本', '院', '委', '托', '温', '州', '天', '正', '司', '法', '鉴', '定', '所', '鉴', '定', ',', '原', '告', '的', '残', '疾', '程', '度', '为', '九', '级', ',', '营', '养', '期', '限', '评', '定', '为', '3', '个', '月', '(', '从', '受', '伤', '之', '日', '起', '计', '算', ')', ',', '二', '期', '手', '术', '(', '拆', '除', '内', '固', '定', ')', '的', '营', '养', '期', '限', '评', '定', '为', '半', '个', '月', ',', '后', '续', '治', '疗', '费', '约', '需', '1', '0', '0', '0', '0', '元', '或', '按', '实', '际', '合', '理', '发', '生', '费', '用', '为', '准', '。', '原', '告', '住', '院', '治', '疗', '及', '出', '院', '后', ',', '被', '告', '胡', 'x', '3', '及', '其', '儿', '子', '曾', '去', '探', '望', '并', '送', '上', '营', '养', '品', '。', '双', '方', '就', '赔', '偿', '事', '宜', '无', '法', '达', '成', '一', '致', '意', '见', ',', '故', '涉', '诉', '。', '以', '上', '事', '实', ',', '有', '原', '告', '身', '份', '证', '、', '两', '被', '告', '户', '籍', '证', '明', '、', '门', '诊', '病', '历', '及', '发', '票', '六', '份', '、', '住', '院', '费', '用', '发', '票', '及', '清', '单', '、', '出', '院', '记', '录', '、', '医', '疗', '证', '明', '书', '、', '司', '法', '鉴', '定', '意', '见', '书', '、', '鉴', '定', '费', '发', '票', '及', '庭', '审', '笔', '录', '在', '案', '佐', '证', ',', '本', '院', '予', '以', '认', '定', '。', '原', '告', '提', '供', '的', '视', '频', '资', '料', ',', '可', '以', '证', '明', '被', '告', '胡', 'x', '3', '确', '认', '原', '告', '在', '其', '经', '营', '的', '水', '泥', '店', '内', '被', '水', '泥', '砸', '伤', '的', '事', '实', ',', '故', '本', '院', '予', '以', '认', '定', ';', '被', '告', '提', '供', '的', '视', '频', '资', '料', ',', '虽', '然', '可', '以', '显', '示', '其', '经', '营', '的', '水', '泥', '店', '内', '有', '两', '处', '位', '置', '张', '贴', '警', '示', '标', '语', ',', '但', '难', '以', '达', '到', '被', '告', '主', '张', '的', '其', '已', '尽', '到', '安', '全', '注', '意', '义', '务', ',', '对', '本', '案', '事', '故', '的', '发', '生', '不', '存', '在', '过', '错', '的', '待', '证', '事', '实', '的', '证', '明', '标', '准', ',', '故', '本', '院', '不', '予', '采', '纳', '。']
orig_answer_text: ['乐清市第三人民医院', '温州医科大学附属第二医院']
start_position: [106, 162]
end_position: [114, 173]
is_impossible: False
is_yes: False
is_no: False
labels: ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O']
>
<unique_id: 1000000000
example_index: 0
doc_span_index: 0
tokens: ['[CLS]', '伤', '者', '被', '送', '往', '哪', '些', '医', '院', '？', '[SEP]', '经', '审', '理', '查', '明', ':', '2', '0', '1', '4', '年', '8', '月', '6', '日', '上', '午', '约', '7', '点', ',', '原', '告', '黄', 'x', '0', '来', '到', '被', '告', '胡', 'x', '3', '经', '营', '的', '水', '泥', '店', '内', '购', '买', '两', '包', '水', '泥', ',', '由', '原', '告', '及', '其', '临', '时', '雇', '来', '的', '三', '轮', '车', '夫', '自', '行', '负', '责', '搬', '运', '水', '泥', '。', '在', '搬', '运', '过', '程', '中', ',', '被', '告', '店', '内', '堆', '放', '的', '水', '泥', '倒', '塌', '下', '来', '将', '原', '告', '砸', '伤', '。', '当', '天', '上', '午', ',', '原', '告', '被', '送', '往', '乐', '清', '市', '第', '三', '人', '民', '医', '院', ',', '经', '门', '诊', '检', '查', '诊', '断', '为', '[UNK]', '腰', '2', '、', '3', '椎', '体', '骨', '折', '、', '左', '内', '踝', '骨', '折', '[UNK]', ',', '共', '支', '出', '医', '疗', '费', '6', '7', '1', '元', '。', '因', '病', '情', '严', '重', ',', '当', '天', '转', '入', '温', '州', '医', '科', '大', '学', '附', '属', '第', '二', '医', '院', '进', '行', '住', '院', '治', '疗', ',', '于', '2', '0', '1', '4', '年', '8', '月', '1', '1', '日', '在', '全', '麻', '下', '行', '[UNK]', '腰', '椎', '骨', '折', '切', '复', '减', '压', '内', '固', '定', '术', '[UNK]', '和', '[UNK]', '左', '内', '踝', '骨', '折', '内', '固', '定', '术', '[UNK]', ',', '于', '2', '0', '1', '4', '年', '8', '月', '2', '1', '日', '出', '院', ',', '共', '计', '支', '出', '住', '院', '费', '用', '5', '4', '5', '0', '5', '.', '5', '7', '元', '。', '经', '本', '院', '委', '托', '温', '州', '天', '正', '司', '法', '鉴', '定', '所', '鉴', '定', ',', '原', '告', '的', '残', '疾', '程', '度', '为', '九', '级', ',', '营', '养', '期', '限', '评', '定', '为', '3', '个', '月', '(', '从', '受', '伤', '之', '日', '起', '计', '算', ')', ',', '二', '期', '手', '术', '(', '拆', '除', '内', '固', '定', ')', '的', '营', '养', '期', '限', '评', '定', '为', '半', '个', '月', ',', '后', '续', '治', '疗', '费', '约', '需', '1', '0', '0', '0', '0', '元', '或', '按', '实', '际', '合', '理', '发', '生', '费', '用', '为', '准', '。', '原', '告', '住', '院', '治', '疗', '及', '出', '院', '后', ',', '被', '告', '胡', 'x', '3', '及', '其', '儿', '子', '曾', '去', '探', '望', '并', '送', '上', '营', '养', '品', '。', '双', '方', '就', '赔', '偿', '事', '宜', '无', '法', '达', '成', '一', '致', '意', '见', ',', '故', '涉', '诉', '。', '以', '上', '事', '实', ',', '有', '原', '告', '身', '份', '证', '、', '两', '被', '告', '户', '籍', '证', '明', '、', '门', '诊', '病', '历', '及', '发', '票', '六', '份', '、', '住', '院', '费', '用', '发', '票', '及', '清', '单', '、', '出', '院', '记', '录', '、', '医', '疗', '证', '明', '书', '、', '司', '法', '鉴', '定', '意', '见', '书', '、', '鉴', '定', '费', '发', '票', '及', '庭', '审', '笔', '录', '在', '案', '佐', '证', ',', '本', '院', '予', '以', '认', '定', '。', '原', '告', '提', '供', '的', '视', '频', '资', '料', ',', '可', '以', '证', '[SEP]']
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/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释
* token_is_max_context: {12: True, 13: True, 14: True, 15: True, 16: True, 17: True, 18: True, 19: True, 20: True, 21: True, 22: True, 23: True, 24: True, 25: True, 26: True, 27: True, 28: True, 29: True, 30: True, 31: True, 32: True, 33: True, 34: True, 35: True, 36: True, 37: True, 38: True, 39: True, 40: True, 41: True, 42: True, 43: True, 44: True, 45: True, 46: True, 47: True, 48: True, 49: True, 50: True, 51: True, 52: True, 53: True, 54: True, 55: True, 56: True, 57: True, 58: True, 59: True, 60: True, 61: True, 62: True, 63: True, 64: True, 65: True, 66: True, 67: True, 68: True, 69: True, 70: True, 71: True, 72: True, 73: True, 74: True, 75: True, 76: True, 77: True, 78: True, 79: True, 80: True, 81: True, 82: True, 83: True, 84: True, 85: True, 86: True, 87: True, 88: True, 89: True, 90: True, 91: True, 92: True, 93: True, 94: True, 95: True, 96: True, 97: True, 98: True, 99: True, 100: True, 101: True, 102: True, 103: True, 104: True, 105: True, 106: True, 107: True, 108: 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>
====================================================================================================
<qas_id: 3
question_text: 伤者被送往哪些医院？
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orig_answer_text: ['乐清市第三人民医院', '温州医科大学附属第二医院']
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labels: ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O']
>
<unique_id: 1000000001
example_index: 0
doc_span_index: 1
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token_to_orig_map: {12: 141, 13: 142, 14: 143, 15: 144, 16: 145, 17: 146, 18: 147, 19: 148, 20: 149, 21: 150, 22: 151, 23: 152, 24: 153, 25: 154, 26: 155, 27: 156, 28: 157, 29: 158, 30: 159, 31: 160, 32: 161, 33: 162, 34: 163, 35: 164, 36: 165, 37: 166, 38: 167, 39: 168, 40: 169, 41: 170, 42: 171, 43: 172, 44: 173, 45: 174, 46: 175, 47: 176, 48: 177, 49: 178, 50: 179, 51: 180, 52: 181, 53: 182, 54: 183, 55: 184, 56: 185, 57: 186, 58: 187, 59: 188, 60: 189, 61: 190, 62: 191, 63: 192, 64: 193, 65: 194, 66: 195, 67: 196, 68: 197, 69: 198, 70: 199, 71: 200, 72: 201, 73: 202, 74: 203, 75: 204, 76: 205, 77: 206, 78: 207, 79: 208, 80: 209, 81: 210, 82: 211, 83: 212, 84: 213, 85: 214, 86: 215, 87: 216, 88: 217, 89: 218, 90: 219, 91: 220, 92: 221, 93: 222, 94: 223, 95: 224, 96: 225, 97: 226, 98: 227, 99: 228, 100: 229, 101: 230, 102: 231, 103: 232, 104: 233, 105: 234, 106: 235, 107: 236, 108: 237, 109: 238, 110: 239, 111: 240, 112: 241, 113: 242, 114: 243, 115: 244, 116: 245, 117: 246, 118: 247, 119: 248, 120: 249, 121: 250, 122: 251, 123: 252, 124: 253, 125: 254, 126: 255, 127: 256, 128: 257, 129: 258, 130: 259, 131: 260, 132: 261, 133: 262, 134: 263, 135: 264, 136: 265, 137: 266, 138: 267, 139: 268, 140: 269, 141: 270, 142: 271, 143: 272, 144: 273, 145: 274, 146: 275, 147: 276, 148: 277, 149: 278, 150: 279, 151: 280, 152: 281, 153: 282, 154: 283, 155: 284, 156: 285, 157: 286, 158: 287, 159: 288, 160: 289, 161: 290, 162: 291, 163: 292, 164: 293, 165: 294, 166: 295, 167: 296, 168: 297, 169: 298, 170: 299, 171: 300, 172: 301, 173: 302, 174: 303, 175: 304, 176: 305, 177: 306, 178: 307, 179: 308, 180: 309, 181: 310, 182: 311, 183: 312, 184: 313, 185: 314, 186: 315, 187: 316, 188: 317, 189: 318, 190: 319, 191: 320, 192: 321, 193: 322, 194: 323, 195: 324, 196: 325, 197: 326, 198: 327, 199: 328, 200: 329, 201: 330, 202: 331, 203: 332, 204: 333, 205: 334, 206: 335, 207: 336, 208: 337, 209: 338, 210: 339, 211: 340, 212: 341, 213: 342, 214: 343, 215: 344, 216: 345, 217: 346, 218: 347, 219: 348, 220: 349, 221: 350, 222: 351, 223: 352, 224: 353, 225: 354, 226: 355, 227: 356, 228: 357, 229: 358, 230: 359, 231: 360, 232: 361, 233: 362, 234: 363, 235: 364, 236: 365, 237: 366, 238: 367, 239: 368, 240: 369, 241: 370, 242: 371, 243: 372, 244: 373, 245: 374, 246: 375, 247: 376, 248: 377, 249: 378, 250: 379, 251: 380, 252: 381, 253: 382, 254: 383, 255: 384, 256: 385, 257: 386, 258: 387, 259: 388, 260: 389, 261: 390, 262: 391, 263: 392, 264: 393, 265: 394, 266: 395, 267: 396, 268: 397, 269: 398, 270: 399, 271: 400, 272: 401, 273: 402, 274: 403, 275: 404, 276: 405, 277: 406, 278: 407, 279: 408, 280: 409, 281: 410, 282: 411, 283: 412, 284: 413, 285: 414, 286: 415, 287: 416, 288: 417, 289: 418, 290: 419, 291: 420, 292: 421, 293: 422, 294: 423, 295: 424, 296: 425, 297: 426, 298: 427, 299: 428, 300: 429, 301: 430, 302: 431, 303: 432, 304: 433, 305: 434, 306: 435, 307: 436, 308: 437, 309: 438, 310: 439, 311: 440, 312: 441, 313: 442, 314: 443, 315: 444, 316: 445, 317: 446, 318: 447, 319: 448, 320: 449, 321: 450, 322: 451, 323: 452, 324: 453, 325: 454, 326: 455, 327: 456, 328: 457, 329: 458, 330: 459, 331: 460, 332: 461, 333: 462, 334: 463, 335: 464, 336: 465, 337: 466, 338: 467, 339: 468, 340: 469, 341: 470, 342: 471, 343: 472, 344: 473, 345: 474, 346: 475, 347: 476, 348: 477, 349: 478, 350: 479, 351: 480, 352: 481, 353: 482, 354: 483, 355: 484, 356: 485, 357: 486, 358: 487, 359: 488, 360: 489, 361: 490, 362: 491, 363: 492, 364: 493, 365: 494, 366: 495, 367: 496, 368: 497, 369: 498, 370: 499, 371: 500, 372: 501, 373: 502, 374: 503, 375: 504, 376: 505, 377: 506, 378: 507, 379: 508, 380: 509, 381: 510, 382: 511, 383: 512, 384: 513, 385: 514, 386: 515, 387: 516, 388: 517, 389: 518, 390: 519, 391: 520, 392: 521, 393: 522, 394: 523, 395: 524, 396: 525, 397: 526, 398: 527, 399: 528, 400: 529, 401: 530, 402: 531, 403: 532, 404: 533, 405: 534, 406: 535, 407: 536, 408: 537, 409: 538, 410: 539, 411: 540, 412: 541, 413: 542, 414: 543, 415: 544, 416: 545, 417: 546, 418: 547, 419: 548, 420: 549, 421: 550, 422: 551, 423: 552, 424: 553, 425: 554, 426: 555, 427: 556, 428: 557, 429: 558, 430: 559, 431: 560, 432: 561, 433: 562, 434: 563, 435: 564, 436: 565, 437: 566, 438: 567, 439: 568, 440: 569, 441: 570, 442: 571, 443: 572, 444: 573, 445: 574, 446: 575, 447: 576, 448: 577, 449: 578, 450: 579, 451: 580, 452: 581, 453: 582, 454: 583, 455: 584, 456: 585, 457: 586, 458: 587, 459: 588, 460: 589, 461: 590, 462: 591, 463: 592, 464: 593, 465: 594, 466: 595, 467: 596, 468: 597, 469: 598, 470: 599, 471: 600, 472: 601, 473: 602, 474: 603, 475: 604, 476: 605, 477: 606, 478: 607, 479: 608, 480: 609, 481: 610, 482: 611, 483: 612, 484: 613, 485: 614, 486: 615, 487: 616, 488: 617, 489: 618, 490: 619, 491: 620, 492: 621, 493: 622, 494: 623}
/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释
* token_is_max_context: {12: False, 13: False, 14: False, 15: False, 16: False, 17: False, 18: False, 19: False, 20: False, 21: False, 22: False, 23: False, 24: False, 25: False, 26: False, 27: False, 28: False, 29: False, 30: False, 31: False, 32: False, 33: False, 34: False, 35: False, 36: False, 37: False, 38: False, 39: False, 40: False, 41: False, 42: False, 43: False, 44: False, 45: False, 46: False, 47: False, 48: False, 49: False, 50: False, 51: False, 52: False, 53: False, 54: False, 55: False, 56: False, 57: False, 58: False, 59: False, 60: False, 61: False, 62: False, 63: False, 64: False, 65: False, 66: False, 67: False, 68: False, 69: False, 70: False, 71: False, 72: False, 73: False, 74: False, 75: False, 76: False, 77: False, 78: False, 79: False, 80: False, 81: False, 82: False, 83: False, 84: False, 85: False, 86: False, 87: False, 88: False, 89: False, 90: False, 91: False, 92: False, 93: False, 94: False, 95: False, 96: False, 97: False, 98: False, 99: False, 100: 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*/
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====================================================================================================
<qas_id: 6
question_text: 法院对拆迁纠纷何时作出判决？
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labels: ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O']
>
<unique_id: 1000000002
example_index: 1
doc_span_index: 0
tokens: ['[CLS]', '法', '院', '对', '拆', '迁', '纠', '纷', '何', '时', '作', '出', '判', '决', '？', '[SEP]', '经', '审', '理', '查', '明', ',', '2', '0', '1', '4', '年', '9', '月', '3', '日', ',', '原', '告', '张', '景', '骞', '向', '被', '告', '闵', '行', '区', '房', '管', '局', '提', '出', '政', '府', '信', '息', '公', '开', '申', '请', ',', '要', '求', '获', '取', '[UNK]', '按', '《', '城', '市', '房', '屋', '拆', '迁', '行', '政', '裁', '决', '工', '作', '规', '程', '》', '第', '二', '十', '条', '规', '定', ',', '贵', '局', '履', '行', '责', '职', '向', '区', '政', '府', '申', '请', '闵', '府', '(', '2', '0', '0', '8', ')', '第', '2', '9', '号', '执', '行', '书', '时', '提', '交', '申', '请', '材', '料', '中', '的', '被', '拆', '迁', '房', '屋', '的', '《', '证', '据', '保', '全', '公', '证', '书', '》', '的', '政', '府', '信', '息', '利', '用', '[UNK]', '。', '被', '告', '闵', '行', '区', '房', '管', '局', '收', '到', '原', '告', '上', '述', '政', '府', '信', '息', '申', '请', '后', '于', '2', '0', '1', '4', '年', '9', '月', '2', '8', '日', '出', '具', '《', '延', '期', '答', '复', '告', '知', '书', '》', '。', '同', '年', '1', '0', '月', '2', '0', '日', ',', '被', '告', '作', '出', '编', '号', '为', '沪', '闵', '房', '管', '公', '开', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '号', '《', '告', '知', '书', '》', ',', '答', '复', '原', '告', '如', '下', ':', '[UNK]', '经', '审', '查', ',', '您', '要', '求', '获', '取', '的', '信', '息', '因', '本', '机', '关', '未', '获', '取', ',', '该', '信', '息', '无', '法', '提', '供', '[UNK]', ',', '并', '向', '原', '告', '邮', '寄', '送', '达', '。', '原', '告', '不', '服', '被', '告', '该', '《', '告', '知', '书', '》', '的', '答', '复', ',', '遂', '以', '讼', '称', '事', '由', '诉', '至', '本', '院', '。', '另', '查', '明', ',', '2', '0', '1', '3', '年', '1', '2', '月', '2', '6', '日', ',', '原', '告', '张', '景', '骞', '向', '被', '告', '闵', '行', '区', '房', '管', '局', '申', '请', '要', '求', '获', '取', '[UNK]', '闵', '府', '(', '2', '0', '0', '8', ')', '第', '7', '9', '号', '房', '屋', '拆', '迁', '强', '制', '执', '行', '书', '的', '①', '行', '政', '强', '制', '执', '行', '申', '请', '书', '②', '裁', '决', '调', '查', '记', '录', '③', '被', '拆', '迁', '人', '不', '同', '意', '拆', '迁', '有', '关', '材', '料', '(', '理', '由', ')', '④', '被', '拆', '迁', '房', '屋', '的', '证', '据', '保', '全', '公', '证', '书', '⑤', '听', '证', '会', '与', '调', '查', '会', '记', '录', '[UNK]', '。', '被', '告', '分', '别', '受', '理', '后', ',', '针', '对', '其', '中', '第', '四', '项', '政', '府', '信', '息', '公', '开', '申', '请', ',', '于', '2', '0', '1', '4', '年', '2', '月', '1', '2', '日', '作', '出', '沪', '闵', '房', '管', '公', '开', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '号', '《', '政', '府', '信', '息', '公', '开', '申', '请', '答', '复', '书', '》', ',', '告', '知', '原', '告', '依', '据', '《', '上', '海', '市', '政', '府', '信', '息', '公', '开', '规', '定', '》', '第', '二', '十', '三', '条', '第', '(', '三', '[SEP]']
token_to_orig_map: {16: 0, 17: 1, 18: 2, 19: 3, 20: 4, 21: 5, 22: 6, 23: 7, 24: 8, 25: 9, 26: 10, 27: 11, 28: 12, 29: 13, 30: 14, 31: 15, 32: 16, 33: 17, 34: 18, 35: 19, 36: 20, 37: 21, 38: 22, 39: 23, 40: 24, 41: 25, 42: 26, 43: 27, 44: 28, 45: 29, 46: 30, 47: 31, 48: 32, 49: 33, 50: 34, 51: 35, 52: 36, 53: 37, 54: 38, 55: 39, 56: 40, 57: 41, 58: 42, 59: 43, 60: 44, 61: 45, 62: 46, 63: 47, 64: 48, 65: 49, 66: 50, 67: 51, 68: 52, 69: 53, 70: 54, 71: 55, 72: 56, 73: 57, 74: 58, 75: 59, 76: 60, 77: 61, 78: 62, 79: 63, 80: 64, 81: 65, 82: 66, 83: 67, 84: 68, 85: 69, 86: 70, 87: 71, 88: 72, 89: 73, 90: 74, 91: 75, 92: 76, 93: 77, 94: 78, 95: 79, 96: 80, 97: 81, 98: 82, 99: 83, 100: 84, 101: 85, 102: 86, 103: 87, 104: 88, 105: 89, 106: 90, 107: 91, 108: 92, 109: 93, 110: 94, 111: 95, 112: 96, 113: 97, 114: 98, 115: 99, 116: 100, 117: 101, 118: 102, 119: 103, 120: 104, 121: 105, 122: 106, 123: 107, 124: 108, 125: 109, 126: 110, 127: 111, 128: 112, 129: 113, 130: 114, 131: 115, 132: 116, 133: 117, 134: 118, 135: 119, 136: 120, 137: 121, 138: 122, 139: 123, 140: 124, 141: 125, 142: 126, 143: 127, 144: 128, 145: 129, 146: 130, 147: 131, 148: 132, 149: 133, 150: 134, 151: 135, 152: 136, 153: 137, 154: 138, 155: 139, 156: 140, 157: 141, 158: 142, 159: 143, 160: 144, 161: 145, 162: 146, 163: 147, 164: 148, 165: 149, 166: 150, 167: 151, 168: 152, 169: 153, 170: 154, 171: 155, 172: 156, 173: 157, 174: 158, 175: 159, 176: 160, 177: 161, 178: 162, 179: 163, 180: 164, 181: 165, 182: 166, 183: 167, 184: 168, 185: 169, 186: 170, 187: 171, 188: 172, 189: 173, 190: 174, 191: 175, 192: 176, 193: 177, 194: 178, 195: 179, 196: 180, 197: 181, 198: 182, 199: 183, 200: 184, 201: 185, 202: 186, 203: 187, 204: 188, 205: 189, 206: 190, 207: 191, 208: 192, 209: 193, 210: 194, 211: 195, 212: 196, 213: 197, 214: 198, 215: 199, 216: 200, 217: 201, 218: 202, 219: 203, 220: 204, 221: 205, 222: 206, 223: 207, 224: 208, 225: 209, 226: 210, 227: 211, 228: 212, 229: 213, 230: 214, 231: 215, 232: 216, 233: 217, 234: 218, 235: 219, 236: 220, 237: 221, 238: 222, 239: 223, 240: 224, 241: 225, 242: 226, 243: 227, 244: 228, 245: 229, 246: 230, 247: 231, 248: 232, 249: 233, 250: 234, 251: 235, 252: 236, 253: 237, 254: 238, 255: 239, 256: 240, 257: 241, 258: 242, 259: 243, 260: 244, 261: 245, 262: 246, 263: 247, 264: 248, 265: 249, 266: 250, 267: 251, 268: 252, 269: 253, 270: 254, 271: 255, 272: 256, 273: 257, 274: 258, 275: 259, 276: 260, 277: 261, 278: 262, 279: 263, 280: 264, 281: 265, 282: 266, 283: 267, 284: 268, 285: 269, 286: 270, 287: 271, 288: 272, 289: 273, 290: 274, 291: 275, 292: 276, 293: 277, 294: 278, 295: 279, 296: 280, 297: 281, 298: 282, 299: 283, 300: 284, 301: 285, 302: 286, 303: 287, 304: 288, 305: 289, 306: 290, 307: 291, 308: 292, 309: 293, 310: 294, 311: 295, 312: 296, 313: 297, 314: 298, 315: 299, 316: 300, 317: 301, 318: 302, 319: 303, 320: 304, 321: 305, 322: 306, 323: 307, 324: 308, 325: 309, 326: 310, 327: 311, 328: 312, 329: 313, 330: 314, 331: 315, 332: 316, 333: 317, 334: 318, 335: 319, 336: 320, 337: 321, 338: 322, 339: 323, 340: 324, 341: 325, 342: 326, 343: 327, 344: 328, 345: 329, 346: 330, 347: 331, 348: 332, 349: 333, 350: 334, 351: 335, 352: 336, 353: 337, 354: 338, 355: 339, 356: 340, 357: 341, 358: 342, 359: 343, 360: 344, 361: 345, 362: 346, 363: 347, 364: 348, 365: 349, 366: 350, 367: 351, 368: 352, 369: 353, 370: 354, 371: 355, 372: 356, 373: 357, 374: 358, 375: 359, 376: 360, 377: 361, 378: 362, 379: 363, 380: 364, 381: 365, 382: 366, 383: 367, 384: 368, 385: 369, 386: 370, 387: 371, 388: 372, 389: 373, 390: 374, 391: 375, 392: 376, 393: 377, 394: 378, 395: 379, 396: 380, 397: 381, 398: 382, 399: 383, 400: 384, 401: 385, 402: 386, 403: 387, 404: 388, 405: 389, 406: 390, 407: 391, 408: 392, 409: 393, 410: 394, 411: 395, 412: 396, 413: 397, 414: 398, 415: 399, 416: 400, 417: 401, 418: 402, 419: 403, 420: 404, 421: 405, 422: 406, 423: 407, 424: 408, 425: 409, 426: 410, 427: 411, 428: 412, 429: 413, 430: 414, 431: 415, 432: 416, 433: 417, 434: 418, 435: 419, 436: 420, 437: 421, 438: 422, 439: 423, 440: 424, 441: 425, 442: 426, 443: 427, 444: 428, 445: 429, 446: 430, 447: 431, 448: 432, 449: 433, 450: 434, 451: 435, 452: 436, 453: 437, 454: 438, 455: 439, 456: 440, 457: 441, 458: 442, 459: 443, 460: 444, 461: 445, 462: 446, 463: 447, 464: 448, 465: 449, 466: 450, 467: 451, 468: 452, 469: 453, 470: 454, 471: 455, 472: 456, 473: 457, 474: 458, 475: 459, 476: 460, 477: 461, 478: 462, 479: 463, 480: 464, 481: 465, 482: 466, 483: 467, 484: 468, 485: 469, 486: 470, 487: 471, 488: 472, 489: 473, 490: 474, 491: 475, 492: 476, 493: 477, 494: 478, 495: 479, 496: 480, 497: 481, 498: 482, 499: 483, 500: 484, 501: 485, 502: 486, 503: 487, 504: 488, 505: 489, 506: 490, 507: 491, 508: 492, 509: 493, 510: 494}
/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释
* token_is_max_context: {16: True, 17: True, 18: True, 19: True, 20: True, 21: True, 22: True, 23: True, 24: True, 25: True, 26: True, 27: True, 28: True, 29: True, 30: True, 31: True, 32: True, 33: True, 34: True, 35: True, 36: True, 37: True, 38: True, 39: True, 40: True, 41: True, 42: True, 43: True, 44: True, 45: True, 46: True, 47: True, 48: True, 49: True, 50: True, 51: True, 52: True, 53: True, 54: True, 55: True, 56: True, 57: True, 58: True, 59: True, 60: True, 61: True, 62: True, 63: True, 64: True, 65: True, 66: True, 67: True, 68: True, 69: True, 70: True, 71: True, 72: True, 73: True, 74: True, 75: True, 76: True, 77: True, 78: True, 79: True, 80: True, 81: True, 82: True, 83: True, 84: True, 85: True, 86: True, 87: True, 88: True, 89: True, 90: True, 91: True, 92: True, 93: True, 94: True, 95: True, 96: True, 97: True, 98: True, 99: True, 100: True, 101: True, 102: True, 103: True, 104: True, 105: True, 106: True, 107: True, 108: True, 109: True, 110: True, 111: True, 112: True, 113: True, 114: True, 115: True, 116: True, 117: True, 118: True, 119: True, 120: True, 121: True, 122: True, 123: True, 124: True, 125: True, 126: True, 127: True, 128: True, 129: True, 130: True, 131: True, 132: True, 133: True, 134: True, 135: True, 136: True, 137: True, 138: True, 139: True, 140: True, 141: True, 142: True, 143: True, 144: True, 145: True, 146: True, 147: True, 148: True, 149: True, 150: True, 151: True, 152: True, 153: True, 154: True, 155: True, 156: True, 157: True, 158: True, 159: True, 160: True, 161: True, 162: True, 163: True, 164: True, 165: True, 166: True, 167: True, 168: True, 169: True, 170: True, 171: True, 172: True, 173: True, 174: True, 175: True, 176: True, 177: True, 178: True, 179: True, 180: True, 181: True, 182: True, 183: True, 184: True, 185: True, 186: True, 187: True, 188: True, 189: True, 190: True, 191: True, 192: True, 193: True, 194: True, 195: True, 196: True, 197: True, 198: True, 199: True, 200: True, 201: True, 202: True, 203: True, 204: True, 205: True, 206: True, 207: True, 208: True, 209: True, 210: True, 211: True, 212: True, 213: True, 214: True, 215: True, 216: True, 217: True, 218: True, 219: True, 220: True, 221: True, 222: True, 223: True, 224: True, 225: True, 226: True, 227: True, 228: True, 229: True, 230: True, 231: True, 232: True, 233: True, 234: True, 235: True, 236: True, 237: True, 238: True, 239: True, 240: True, 241: True, 242: True, 243: True, 244: True, 245: True, 246: True, 247: True, 248: True, 249: True, 250: True, 251: True, 252: True, 253: True, 254: True, 255: True, 256: True, 257: True, 258: True, 259: True, 260: True, 261: True, 262: True, 263: True, 264: True, 265: True, 266: True, 267: True, 268: True, 269: True, 270: True, 271: True, 272: True, 273: True, 274: True, 275: True, 276: True, 277: True, 278: True, 279: True, 280: True, 281: True, 282: True, 283: True, 284: True, 285: True, 286: True, 287: True, 288: True, 289: True, 290: True, 291: True, 292: True, 293: True, 294: True, 295: True, 296: True, 297: True, 298: True, 299: True, 300: True, 301: True, 302: True, 303: True, 304: True, 305: True, 306: True, 307: True, 308: True, 309: True, 310: True, 311: True, 312: True, 313: True, 314: True, 315: True, 316: True, 317: True, 318: True, 319: True, 320: True, 321: True, 322: True, 323: True, 324: True, 325: True, 326: True, 327: True, 328: True, 329: False, 330: False, 331: False, 332: False, 333: False, 334: False, 335: False, 336: False, 337: False, 338: False, 339: False, 340: False, 341: False, 342: False, 343: False, 344: False, 345: False, 346: False, 347: False, 348: False, 349: False, 350: False, 351: False, 352: False, 353: False, 354: False, 355: False, 356: False, 357: False, 358: False, 359: False, 360: False, 361: False, 362: False, 363: False, 364: False, 365: False, 366: False, 367: False, 368: False, 369: False, 370: False, 371: False, 372: False, 373: False, 374: False, 375: False, 376: False, 377: False, 378: False, 379: False, 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*/
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====================================================================================================
<qas_id: 6
question_text: 法院对拆迁纠纷何时作出判决？
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labels: ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'I', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O']
>
<unique_id: 1000000003
example_index: 1
doc_span_index: 1
tokens: ['[CLS]', '法', '院', '对', '拆', '迁', '纠', '纷', '何', '时', '作', '出', '判', '决', '？', '[SEP]', '被', '告', '闵', '行', '区', '房', '管', '局', '收', '到', '原', '告', '上', '述', '政', '府', '信', '息', '申', '请', '后', '于', '2', '0', '1', '4', '年', '9', '月', '2', '8', '日', '出', '具', '《', '延', '期', '答', '复', '告', '知', '书', '》', '。', '同', '年', '1', '0', '月', '2', '0', '日', ',', '被', '告', '作', '出', '编', '号', '为', '沪', '闵', '房', '管', '公', '开', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '号', '《', '告', '知', '书', '》', ',', '答', '复', '原', '告', '如', '下', ':', '[UNK]', '经', '审', '查', ',', '您', '要', '求', '获', '取', '的', '信', '息', '因', '本', '机', '关', '未', '获', '取', ',', '该', '信', '息', '无', '法', '提', '供', '[UNK]', ',', '并', '向', '原', '告', '邮', '寄', '送', '达', '。', '原', '告', '不', '服', '被', '告', '该', '《', '告', '知', '书', '》', '的', '答', '复', ',', '遂', '以', '讼', '称', '事', '由', '诉', '至', '本', '院', '。', '另', '查', '明', ',', '2', '0', '1', '3', '年', '1', '2', '月', '2', '6', '日', ',', '原', '告', '张', '景', '骞', '向', '被', '告', '闵', '行', '区', '房', '管', '局', '申', '请', '要', '求', '获', '取', '[UNK]', '闵', '府', '(', '2', '0', '0', '8', ')', '第', '7', '9', '号', '房', '屋', '拆', '迁', '强', '制', '执', '行', '书', '的', '①', '行', '政', '强', '制', '执', '行', '申', '请', '书', '②', '裁', '决', '调', '查', '记', '录', '③', '被', '拆', '迁', '人', '不', '同', '意', '拆', '迁', '有', '关', '材', '料', '(', '理', '由', ')', '④', '被', '拆', '迁', '房', '屋', '的', '证', '据', '保', '全', '公', '证', '书', '⑤', '听', '证', '会', '与', '调', '查', '会', '记', '录', '[UNK]', '。', '被', '告', '分', '别', '受', '理', '后', ',', '针', '对', '其', '中', '第', '四', '项', '政', '府', '信', '息', '公', '开', '申', '请', ',', '于', '2', '0', '1', '4', '年', '2', '月', '1', '2', '日', '作', '出', '沪', '闵', '房', '管', '公', '开', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '号', '《', '政', '府', '信', '息', '公', '开', '申', '请', '答', '复', '书', '》', ',', '告', '知', '原', '告', '依', '据', '《', '上', '海', '市', '政', '府', '信', '息', '公', '开', '规', '定', '》', '第', '二', '十', '三', '条', '第', '(', '三', ')', '项', '的', '规', '定', ',', '其', '要', '求', '获', '取', '的', '信', '息', '不', '属', '于', '《', '政', '府', '信', '息', '公', '开', '条', '例', '》', '和', '《', '上', '海', '市', '政', '府', '信', '息', '公', '开', '规', '定', '》', '第', '二', '条', '所', '指', '的', '政', '府', '信', '息', '。', '原', '告', '收', '到', '上', '述', '《', '政', '府', '信', '息', '公', '开', '申', '请', '答', '复', '书', '》', '后', '不', '服', ',', '诉', '至', '本', '院', '。', '本', '院', '于', '2', '0', '1', '4', '年', '6', '月', '2', '3', '日', '作', '出', '判', '决', ',', '认', '为', '被', '告', '将', '原', '告', '在', '2', '0', '1', '3', '年', '1', '2', '月', '2', '6', '日', '申', '请', '公', '开', '的', '信', '息', '④', '特', '定', '地', '理', '解', '[SEP]']
token_to_orig_map: {16: 130, 17: 131, 18: 132, 19: 133, 20: 134, 21: 135, 22: 136, 23: 137, 24: 138, 25: 139, 26: 140, 27: 141, 28: 142, 29: 143, 30: 144, 31: 145, 32: 146, 33: 147, 34: 148, 35: 149, 36: 150, 37: 151, 38: 152, 39: 153, 40: 154, 41: 155, 42: 156, 43: 157, 44: 158, 45: 159, 46: 160, 47: 161, 48: 162, 49: 163, 50: 164, 51: 165, 52: 166, 53: 167, 54: 168, 55: 169, 56: 170, 57: 171, 58: 172, 59: 173, 60: 174, 61: 175, 62: 176, 63: 177, 64: 178, 65: 179, 66: 180, 67: 181, 68: 182, 69: 183, 70: 184, 71: 185, 72: 186, 73: 187, 74: 188, 75: 189, 76: 190, 77: 191, 78: 192, 79: 193, 80: 194, 81: 195, 82: 196, 83: 197, 84: 198, 85: 199, 86: 200, 87: 201, 88: 202, 89: 203, 90: 204, 91: 205, 92: 206, 93: 207, 94: 208, 95: 209, 96: 210, 97: 211, 98: 212, 99: 213, 100: 214, 101: 215, 102: 216, 103: 217, 104: 218, 105: 219, 106: 220, 107: 221, 108: 222, 109: 223, 110: 224, 111: 225, 112: 226, 113: 227, 114: 228, 115: 229, 116: 230, 117: 231, 118: 232, 119: 233, 120: 234, 121: 235, 122: 236, 123: 237, 124: 238, 125: 239, 126: 240, 127: 241, 128: 242, 129: 243, 130: 244, 131: 245, 132: 246, 133: 247, 134: 248, 135: 249, 136: 250, 137: 251, 138: 252, 139: 253, 140: 254, 141: 255, 142: 256, 143: 257, 144: 258, 145: 259, 146: 260, 147: 261, 148: 262, 149: 263, 150: 264, 151: 265, 152: 266, 153: 267, 154: 268, 155: 269, 156: 270, 157: 271, 158: 272, 159: 273, 160: 274, 161: 275, 162: 276, 163: 277, 164: 278, 165: 279, 166: 280, 167: 281, 168: 282, 169: 283, 170: 284, 171: 285, 172: 286, 173: 287, 174: 288, 175: 289, 176: 290, 177: 291, 178: 292, 179: 293, 180: 294, 181: 295, 182: 296, 183: 297, 184: 298, 185: 299, 186: 300, 187: 301, 188: 302, 189: 303, 190: 304, 191: 305, 192: 306, 193: 307, 194: 308, 195: 309, 196: 310, 197: 311, 198: 312, 199: 313, 200: 314, 201: 315, 202: 316, 203: 317, 204: 318, 205: 319, 206: 320, 207: 321, 208: 322, 209: 323, 210: 324, 211: 325, 212: 326, 213: 327, 214: 328, 215: 329, 216: 330, 217: 331, 218: 332, 219: 333, 220: 334, 221: 335, 222: 336, 223: 337, 224: 338, 225: 339, 226: 340, 227: 341, 228: 342, 229: 343, 230: 344, 231: 345, 232: 346, 233: 347, 234: 348, 235: 349, 236: 350, 237: 351, 238: 352, 239: 353, 240: 354, 241: 355, 242: 356, 243: 357, 244: 358, 245: 359, 246: 360, 247: 361, 248: 362, 249: 363, 250: 364, 251: 365, 252: 366, 253: 367, 254: 368, 255: 369, 256: 370, 257: 371, 258: 372, 259: 373, 260: 374, 261: 375, 262: 376, 263: 377, 264: 378, 265: 379, 266: 380, 267: 381, 268: 382, 269: 383, 270: 384, 271: 385, 272: 386, 273: 387, 274: 388, 275: 389, 276: 390, 277: 391, 278: 392, 279: 393, 280: 394, 281: 395, 282: 396, 283: 397, 284: 398, 285: 399, 286: 400, 287: 401, 288: 402, 289: 403, 290: 404, 291: 405, 292: 406, 293: 407, 294: 408, 295: 409, 296: 410, 297: 411, 298: 412, 299: 413, 300: 414, 301: 415, 302: 416, 303: 417, 304: 418, 305: 419, 306: 420, 307: 421, 308: 422, 309: 423, 310: 424, 311: 425, 312: 426, 313: 427, 314: 428, 315: 429, 316: 430, 317: 431, 318: 432, 319: 433, 320: 434, 321: 435, 322: 436, 323: 437, 324: 438, 325: 439, 326: 440, 327: 441, 328: 442, 329: 443, 330: 444, 331: 445, 332: 446, 333: 447, 334: 448, 335: 449, 336: 450, 337: 451, 338: 452, 339: 453, 340: 454, 341: 455, 342: 456, 343: 457, 344: 458, 345: 459, 346: 460, 347: 461, 348: 462, 349: 463, 350: 464, 351: 465, 352: 466, 353: 467, 354: 468, 355: 469, 356: 470, 357: 471, 358: 472, 359: 473, 360: 474, 361: 475, 362: 476, 363: 477, 364: 478, 365: 479, 366: 480, 367: 481, 368: 482, 369: 483, 370: 484, 371: 485, 372: 486, 373: 487, 374: 488, 375: 489, 376: 490, 377: 491, 378: 492, 379: 493, 380: 494, 381: 495, 382: 496, 383: 497, 384: 498, 385: 499, 386: 500, 387: 501, 388: 502, 389: 503, 390: 504, 391: 505, 392: 506, 393: 507, 394: 508, 395: 509, 396: 510, 397: 511, 398: 512, 399: 513, 400: 514, 401: 515, 402: 516, 403: 517, 404: 518, 405: 519, 406: 520, 407: 521, 408: 522, 409: 523, 410: 524, 411: 525, 412: 526, 413: 527, 414: 528, 415: 529, 416: 530, 417: 531, 418: 532, 419: 533, 420: 534, 421: 535, 422: 536, 423: 537, 424: 538, 425: 539, 426: 540, 427: 541, 428: 542, 429: 543, 430: 544, 431: 545, 432: 546, 433: 547, 434: 548, 435: 549, 436: 550, 437: 551, 438: 552, 439: 553, 440: 554, 441: 555, 442: 556, 443: 557, 444: 558, 445: 559, 446: 560, 447: 561, 448: 562, 449: 563, 450: 564, 451: 565, 452: 566, 453: 567, 454: 568, 455: 569, 456: 570, 457: 571, 458: 572, 459: 573, 460: 574, 461: 575, 462: 576, 463: 577, 464: 578, 465: 579, 466: 580, 467: 581, 468: 582, 469: 583, 470: 584, 471: 585, 472: 586, 473: 587, 474: 588, 475: 589, 476: 590, 477: 591, 478: 592, 479: 593, 480: 594, 481: 595, 482: 596, 483: 597, 484: 598, 485: 599, 486: 600, 487: 601, 488: 602, 489: 603, 490: 604, 491: 605, 492: 606, 493: 607, 494: 608, 495: 609, 496: 610, 497: 611, 498: 612, 499: 613, 500: 614, 501: 615, 502: 616, 503: 617, 504: 618, 505: 619, 506: 620, 507: 621, 508: 622, 509: 623, 510: 624}
/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释
* token_is_max_context: {16: False, 17: False, 18: False, 19: False, 20: False, 21: False, 22: False, 23: False, 24: False, 25: False, 26: False, 27: False, 28: False, 29: False, 30: False, 31: False, 32: False, 33: False, 34: False, 35: False, 36: False, 37: False, 38: False, 39: False, 40: False, 41: False, 42: False, 43: False, 44: False, 45: False, 46: False, 47: False, 48: False, 49: False, 50: False, 51: False, 52: False, 53: False, 54: False, 55: False, 56: False, 57: False, 58: False, 59: False, 60: False, 61: False, 62: False, 63: False, 64: False, 65: False, 66: False, 67: False, 68: False, 69: False, 70: False, 71: False, 72: False, 73: False, 74: False, 75: False, 76: False, 77: False, 78: False, 79: False, 80: False, 81: False, 82: False, 83: False, 84: False, 85: False, 86: False, 87: False, 88: False, 89: False, 90: False, 91: False, 92: False, 93: False, 94: False, 95: False, 96: False, 97: False, 98: False, 99: False, 100: False, 101: False, 102: False, 103: False, 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277: True, 278: True, 279: True, 280: True, 281: True, 282: True, 283: True, 284: True, 285: True, 286: True, 287: True, 288: True, 289: True, 290: True, 291: True, 292: True, 293: True, 294: True, 295: True, 296: True, 297: True, 298: True, 299: True, 300: True, 301: True, 302: True, 303: True, 304: True, 305: True, 306: True, 307: True, 308: True, 309: True, 310: True, 311: True, 312: True, 313: True, 314: True, 315: True, 316: True, 317: True, 318: True, 319: True, 320: True, 321: True, 322: True, 323: True, 324: True, 325: True, 326: True, 327: True, 328: True, 329: True, 330: True, 331: True, 332: True, 333: True, 334: True, 335: False, 336: False, 337: False, 338: False, 339: False, 340: False, 341: False, 342: False, 343: False, 344: False, 345: False, 346: False, 347: False, 348: False, 349: False, 350: False, 351: False, 352: False, 353: False, 354: False, 355: False, 356: False, 357: False, 358: False, 359: False, 360: False, 361: False, 362: False, 363: False, 364: False, 365: False, 366: False, 367: False, 368: False, 369: False, 370: False, 371: False, 372: False, 373: False, 374: False, 375: False, 376: False, 377: False, 378: False, 379: False, 380: False, 381: False, 382: False, 383: False, 384: False, 385: False, 386: False, 387: False, 388: False, 389: False, 390: False, 391: False, 392: False, 393: False, 394: False, 395: False, 396: False, 397: False, 398: False, 399: False, 400: False, 401: False, 402: False, 403: False, 404: False, 405: False, 406: False, 407: False, 408: False, 409: False, 410: False, 411: False, 412: False, 413: False, 414: False, 415: False, 416: False, 417: False, 418: False, 419: False, 420: False, 421: False, 422: False, 423: False, 424: False, 425: False, 426: False, 427: False, 428: False, 429: False, 430: False, 431: False, 432: False, 433: False, 434: False, 435: False, 436: False, 437: False, 438: False, 439: False, 440: False, 441: False, 442: False, 443: False, 444: False, 445: False, 446: False, 447: False, 448: 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*/
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====================================================================================================可以看到，会对太长的句子进行切分。 我们看看一些特殊的情况：
代码语言：javascript复制<qas_id: 12
question_text: 本案的判决情况？
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>
<unique_id: 1000000014
example_index: 5
doc_span_index: 3
tokens: ['[CLS]', '本', '案', '的', '判', '决', '情', '况', '？', '[SEP]', '应', '向', '甲', '方', '返', '还', '全', '部', '已', '收', '取', '的', '利', '润', '并', '向', '甲', '方', '承', '担', '已', '收', '取', '利', '润', '总', '额', '2', '0', '%', '的', '违', '约', '金', '[UNK]', '该', '《', '股', '权', '赠', '与', '协', '议', '书', '》', '甲', '方', '一', '栏', '有', '签', '名', '[UNK]', '黄', '1', '0', '[UNK]', '及', '加', '盖', '了', '[UNK]', '广', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '4', '[UNK]', '公', '章', ',', '乙', '方', '一', '栏', '有', '签', '名', '[UNK]', '聂', 'x', '3', '[UNK]', '并', '盖', '有', '指', '模', '原', '被', '告', '及', '第', '三', '人', '均', '确', '认', '该', '《', '股', '权', '赠', '与', '协', '议', '书', '》', '的', '真', '实', '性', '原', '告', '在', '庭', '审', '时', '提', '交', '了', '《', '授', '权', '委', '托', '书', '》', '作', '为', '补', '充', '证', '据', '以', '证', '明', '原', '告', '授', '权', '黄', '1', '0', '签', '署', '《', '股', '权', '赠', '与', '协', '议', '书', '》', '庭', '审', '后', ',', '原', '告', '向', '本', '院', '提', '交', '申', '请', '书', ',', '申', '请', '撤', '回', '《', '授', '权', '委', '托', '书', '》', ',', '重', '新', '提', '交', '了', '《', '确', '认', '书', '》', ',', '该', '《', '确', '认', '书', '》', '于', '2', '0', '1', '4', '年', '1', '0', '月', '2', '4', '日', '出', '具', ',', '内', '容', '为', ':', '[UNK]', '本', '人', '唐', 'x', '0', '与', '广', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '4', '确', '认', '以', '下', '事', '实', ',', '2', '0', '1', '3', '年', '1', '月', '9', '日', '共', '同', '授', '权', '黄', '1', '0', '处', '理', '与', '聂', 'x', '3', '签', '订', '《', '股', '权', '赠', '与', '协', '议', '书', '》', '的', '相', '关', '事', '宜', ',', '委', '托', '权', '限', '包', '括', '就', '该', '协', '议', '进', '行', '协', '商', '、', '订', '立', '等', '黄', '1', '0', '代', '表', '本', '人', '唐', 'x', '0', '与', '广', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '4', '在', '协', '议', '书', '上', '签', '名', ',', '是', '合', '法', '有', '效', '的', '[UNK]', '被', '告', '签', '收', '了', '原', '告', '发', '放', '的', '股', '权', '分', '红', '2', '0', '1', '3', '年', '第', '一', '季', '度', '1', '4', '5', '7', '3', '元', '、', '第', '二', '季', '度', '1', '5', '3', '5', '4', '元', '、', '第', '三', '季', '度', '1', '2', '8', '1', '6', '元', '、', '第', '四', '季', '度', '1', '1', '1', '1', '5', '元', '共', '4', '3', '8', '5', '8', '元', '[SEP]']
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yes_mask: [0]
no_mask: [0]
answer_mask: [1, 0, 0]
answer_num: 0
>对于不能够回答的问题，会将start_position和end_position里设置为512，并且answer_mask设置为[1,0,0]，answer_num为0。 对于是YES/NO类型的问题：
代码语言：javascript复制start_position: [513, 0, 0]
end_position: [513, 0, 0]
is_impossible: False
unk_mask: [0]
yes_mask: [1]
no_mask: [0]
answer_mask: [1, 0, 0]
answer_num: 1
>对应的是start_position、end_position里513或者514。
