





from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate



@dataclass(frozen=__snake_case     )
class    A__  (			__snake_case     ):
      # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
      _UpperCAmelCase      :str		       =  field(default='question-answering-extractive'			,  metadata={'include_in_asdict_even_if_is_default': True}     )
      _UpperCAmelCase      :ClassVar[Features]		       =  Features({'question': Value('string'     ), 'context': Value('string'     )}     )
      _UpperCAmelCase      :ClassVar[Features]		       =  Features(
          {
              'answers': Sequence(
                  {
                      'text': Value('string'     ),
                      'answer_start': Value('int32'     ),
                  }     )
          }     )
      _UpperCAmelCase      :str		       =  "question"
      _UpperCAmelCase      :str		       =  "context"
      _UpperCAmelCase      :str		       =  "answers"





      @property
      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}







from typing import TYPE_CHECKING

from ...utils import _LazyModule


__lowerCamelCase			:	str					    =	{"""tokenization_byt5""": ["""ByT5Tokenizer"""]}


if TYPE_CHECKING:
    from .tokenization_byta import ByTaTokenizer
else:
    import sys

    __lowerCamelCase			:	List[str]					    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
