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# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
#
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#: ../source/paddlenlp.metrics.squad.rst:2
msgid "squad"
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:1
msgid ""
"Post-processes the predictions of a question-answering model to convert "
"them to answers that are substrings of the original contexts. This is the"
" base postprocessing functions for models that only return start and end "
"logits."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction
#: paddlenlp.metrics.squad.squad_evaluate
msgid "参数"
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:6
msgid ""
"List of raw squad-style data (see `run_squad.py "
"<https://github.com/PaddlePaddle/PaddleNLP/blob/develop/examples/ "
"machine_reading_comprehension/SQuAD/run_squad.py>`__ for more "
"information)."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:11
msgid ""
"List of processed squad-style features (see `run_squad.py "
"<https://github.com/PaddlePaddle/PaddleNLP/blob/ "
"develop/examples/machine_reading_comprehension/SQuAD/run_squad.py>`__ for"
" more information)."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:16
msgid ""
"The predictions of the model. Should be a tuple of two list containing "
"the start logits and the end logits."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:19
msgid "Whether the dataset contains examples with no answers. Defaults to False."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:22
msgid "The total number of candidate predictions to generate. Defaults to 20."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:25
msgid "The maximum length of predicted answer. Defaults to 20."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:28
msgid ""
"The threshold used to select the null answer. Only useful when "
"`version_2_with_negative` is True. Defaults to 0.0."
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction
msgid "返回"
msgstr ""

#: of paddlenlp.metrics.squad.compute_prediction:33
msgid ""
"A tuple of three dictionaries containing final selected answer, all "
"n_best answers along with their probability and scores, and the "
"score_diff of each example."
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:1
msgid ""
"Computes and prints the f1 score and em score of input prediction. :param"
" examples: List of raw squad-style data (see `run_squad.py"
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:3
msgid ""
"<https://github.com/PaddlePaddle/PaddleNLP/blob/develop/examples/ "
"machine_reading_comprehension/SQuAD/run_squad.py>`__ for more "
"information)."
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:7
msgid ""
"Dictionary of final predictions. Usually generated by "
"`compute_prediction`."
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:10
msgid ""
"Dictionary of score_diffs of each example. Used to decide if answer exits"
" and compute best score_diff threshold of null. Defaults to None."
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:14
msgid "The threshold used to select the null answer. Defaults to 1.0."
msgstr ""

#: of paddlenlp.metrics.squad.squad_evaluate:17
msgid ""
"Whether the predictions and references can be tokenized by whitespace. "
"Usually set True for English and False for Chinese. Defaults to True."
msgstr ""

#~ msgid "Computes and prints the f1 score and em score of input prediction."
#~ msgstr ""