Datasets:
lmqg
/

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Source Datasets:
squad
ArXiv:
Tags:
question-generation
License:
asahi417 commited on
Commit
5422d2d
1 Parent(s): 53a5c42

Update qg_squad.py

Browse files
Files changed (1) hide show
  1. qg_squad.py +9 -0
qg_squad.py CHANGED
@@ -2,6 +2,11 @@ import json
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  import datasets
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  logger = datasets.logging.get_logger(__name__)
 
 
 
 
 
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  _DESCRIPTION = """
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  [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) evaluation set for the question generation (QG) models. The split
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  of test and development set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is
@@ -28,6 +33,10 @@ class QGSquadConfig(datasets.BuilderConfig):
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  class QGSquad(datasets.GeneratorBasedBuilder):
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
 
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  import datasets
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  logger = datasets.logging.get_logger(__name__)
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+ _VERSION = "1.0.0"
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+ _NAME = "qg_squad"
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+ _CITATION = """
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+ TBA
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+ """
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  _DESCRIPTION = """
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  [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) evaluation set for the question generation (QG) models. The split
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  of test and development set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is
 
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  class QGSquad(datasets.GeneratorBasedBuilder):
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+ BUILDER_CONFIGS = [
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+ QGSquadConfig(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION),
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+ ]
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+
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,