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system HF staff commited on
Commit
d3c5093
1 Parent(s): a50fce1

Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

Files changed (1) hide show
  1. com_qa.py +8 -10
com_qa.py CHANGED
@@ -3,7 +3,6 @@
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  from __future__ import absolute_import, division, print_function
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  import json
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- import os
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  import datasets
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@@ -40,10 +39,13 @@ in ComQA are grouped into 4,834 paraphrase clusters that express the same inform
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  with its answer(s). ComQA answers come in the form of Wikipedia entities wherever possible. Wherever the answers are
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  temporal or measurable quantities, TIMEX3 and the International System of Units (SI) are used for normalization.
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  """
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- _URL = "https://qa.mpi-inf.mpg.de/comqa"
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- _TRAIN_FILE = "comqa_train.json"
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- _DEV_FILE = "comqa_dev.json"
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- _TEST_FILE = "comqa_test.json"
 
 
 
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  class ComQa(datasets.GeneratorBasedBuilder):
@@ -80,11 +82,7 @@ class ComQa(datasets.GeneratorBasedBuilder):
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  # TODO(com_qa): Downloads the data and defines the splits
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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- urls_to_download = {
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- "train": os.path.join(_URL, _TRAIN_FILE),
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- "dev": os.path.join(_URL, _DEV_FILE),
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- "test": os.path.join(_URL, _TEST_FILE),
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- }
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  dl_dir = dl_manager.download_and_extract(urls_to_download)
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  return [
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  datasets.SplitGenerator(
 
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  from __future__ import absolute_import, division, print_function
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  import json
 
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  import datasets
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  with its answer(s). ComQA answers come in the form of Wikipedia entities wherever possible. Wherever the answers are
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  temporal or measurable quantities, TIMEX3 and the International System of Units (SI) are used for normalization.
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  """
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+
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+ _URL = "https://qa.mpi-inf.mpg.de/comqa/"
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+ _URLS = {
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+ "train": _URL + "comqa_train.json",
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+ "dev": _URL + "comqa_dev.json",
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+ "test": _URL + "comqa_test.json",
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+ }
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  class ComQa(datasets.GeneratorBasedBuilder):
 
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  # TODO(com_qa): Downloads the data and defines the splits
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  # dl_manager is a datasets.download.DownloadManager that can be used to
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  # download and extract URLs
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+ urls_to_download = _URLS
 
 
 
 
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  dl_dir = dl_manager.download_and_extract(urls_to_download)
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  return [
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  datasets.SplitGenerator(