Datasets:
GEM
/

Languages:
Chinese
Multilinguality:
unknown
Size Categories:
unknown
Language Creators:
unknown
Annotations Creators:
crowd-sourced
Source Datasets:
original
License:
Sebastian Gehrmann commited on
Commit
54e4115
1 Parent(s): f52b61c
Files changed (1) hide show
  1. RiSAWOZ.py +4 -10
RiSAWOZ.py CHANGED
@@ -286,33 +286,27 @@ class RiSAWOZ(datasets.GeneratorBasedBuilder):
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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  _URL = {"train": "train.json", "test": "test.json", "dev": "dev.json"}
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- data_dir2 = dl_manager.download_and_extract(_URL)
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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- # "filepath": os.path.join(data_dir, "train.json"),
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- "filepath": data_dir2["train"],
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  "split": "train",
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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- gen_kwargs={"filepath": data_dir2["test"], "split": "test"},
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- ),
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- datasets.SplitGenerator(
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- name="challenge",
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- # These kwargs will be passed to _generate_examples
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- gen_kwargs={"filepath": data_dir2["test"], "split": "challenge"},
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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- "filepath": data_dir2["dev"],
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  "split": "dev",
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  },
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  ),
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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  _URL = {"train": "train.json", "test": "test.json", "dev": "dev.json"}
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+ data_dir = dl_manager.download_and_extract(_URL)
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "filepath": data_dir["train"],
 
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  "split": "train",
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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+ gen_kwargs={"filepath": data_dir["test"], "split": "test"},
 
 
 
 
 
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "filepath": data_dir["dev"],
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  "split": "dev",
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  },
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  ),