Chenghao Yang commited on
Commit
95a2fd1
·
1 Parent(s): 8654c90

fix version problem in loading scripts

Browse files
Files changed (1) hide show
  1. quality.py +3 -3
quality.py CHANGED
@@ -4,7 +4,7 @@ import os
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  import datasets
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  from datasets import DatasetInfo
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- _URL = "."
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  _QUALITY_CITATION = """
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  @inproceedings{pang-etal-2022-quality,
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  title = "{Q}u{ALITY}: Question Answering with Long Input Texts, Yes!",
@@ -45,7 +45,7 @@ class Quality(datasets.GeneratorBasedBuilder):
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  QualityConfig(
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  name=f"dpr-first-{x}%-maxlen-150",
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  features=['question', "context", "option"],
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- data_url=_URL + f"/extractive_dpr_agent_first_20splits_maxlen150/agent_{x}.zip",
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  citation=_QUALITY_CITATION,
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  description=f"Using DPR (NYU-version) to summarize first {x}% of the document within 150 max tokens"
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  ) for x in range(0, 20)
@@ -54,7 +54,7 @@ class Quality(datasets.GeneratorBasedBuilder):
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  QualityConfig(
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  name=f"dpr-rest-{x}%-maxlen-{maxlen}",
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  features=['question', "context", "option", "output"],
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- data_url=_URL + f"/extractive_dpr_agent_rest_20splits_maxlen{maxlen}/agent_{x}.zip",
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  citation=_QUALITY_CITATION,
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  description=f"Using DPR (NYU-version) to summarize rest {x}% of the document within {maxlen} max tokens"
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  ) for x in range(0, 20)
 
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  import datasets
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  from datasets import DatasetInfo
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+ _URL = ""
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  _QUALITY_CITATION = """
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  @inproceedings{pang-etal-2022-quality,
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  title = "{Q}u{ALITY}: Question Answering with Long Input Texts, Yes!",
 
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  QualityConfig(
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  name=f"dpr-first-{x}%-maxlen-150",
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  features=['question', "context", "option"],
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+ data_url=f"extractive_dpr_agent_first_20splits_maxlen150/agent_{x}.zip",
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  citation=_QUALITY_CITATION,
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  description=f"Using DPR (NYU-version) to summarize first {x}% of the document within 150 max tokens"
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  ) for x in range(0, 20)
 
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  QualityConfig(
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  name=f"dpr-rest-{x}%-maxlen-{maxlen}",
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  features=['question', "context", "option", "output"],
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+ data_url=f"extractive_dpr_agent_rest_20splits_maxlen{maxlen}/agent_{x}.zip",
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  citation=_QUALITY_CITATION,
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  description=f"Using DPR (NYU-version) to summarize rest {x}% of the document within {maxlen} max tokens"
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  ) for x in range(0, 20)