tyouisen haonan-li commited on
Commit
e506065
1 Parent(s): e3de82f

Update aclue.py (#2)

Browse files

- Update aclue.py (2aed5c59a1f9651152db14613ccd1b750f01f2e1)


Co-authored-by: Haonan Li <haonan-li@users.noreply.huggingface.co>

Files changed (1) hide show
  1. aclue.py +4 -9
aclue.py CHANGED
@@ -16,8 +16,7 @@ import os
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  import datasets
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  import pandas as pd
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- _CITATION = """\
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- """
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  _DESCRIPTION = """\
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  The Ancient Chinese Language Understanding Evaluation (ACLUE) is an evaluation benchmark focused on ancient Chinese language comprehension. It aims to assess the performance of large-scale language models on understanding ancient Chinese.
@@ -44,6 +43,7 @@ task_list = ['polysemy_resolution',
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  class ACLUEConfig(datasets.BuilderConfig):
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  def __init__(self, **kwargs):
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  super().__init__(version=datasets.Version("1.0.0"), **kwargs)
 
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  # V1.0.0 Init version
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@@ -74,17 +74,12 @@ class ACLUE(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager):
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  data_dir = dl_manager.download_and_extract(_URL)
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  task_name = self.config.name
 
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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- "filepath": os.path.join(data_dir, f"test/{task_name}.csv"),
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split("dev"),
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, f"dev/{task_name}.csv"),
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  },
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  ),
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  ]
 
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  import datasets
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  import pandas as pd
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+ _CITATION = "https://arxiv.org/abs/2310.09550"
 
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  _DESCRIPTION = """\
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  The Ancient Chinese Language Understanding Evaluation (ACLUE) is an evaluation benchmark focused on ancient Chinese language comprehension. It aims to assess the performance of large-scale language models on understanding ancient Chinese.
 
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  class ACLUEConfig(datasets.BuilderConfig):
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  def __init__(self, **kwargs):
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  super().__init__(version=datasets.Version("1.0.0"), **kwargs)
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+ self.subset = subset or "test"
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  # V1.0.0 Init version
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  def _split_generators(self, dl_manager):
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  data_dir = dl_manager.download_and_extract(_URL)
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  task_name = self.config.name
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+ subset = self.config.subset
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  gen_kwargs={
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+ "filepath": os.path.join(data_dir, f"{subset}/{task_name}.csv"),
 
 
 
 
 
 
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  },
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  ),
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  ]