Datasets:
GEM
/

Languages: Chinese
Multilinguality: unknown
Size Categories: unknown
Language Creators: unknown
Annotations Creators: none
Source Datasets: original
License:
zqwerty commited on
Commit
9ac2bdd
1 Parent(s): 006fb13

update data & script

Browse files
Files changed (5) hide show
  1. CrossWOZ.py +1 -13
  2. data.zip +2 -2
  3. test.json.zip +0 -3
  4. train.json.zip +0 -3
  5. val.json.zip +0 -3
CrossWOZ.py CHANGED
@@ -41,13 +41,6 @@ _HOMEPAGE = "https://github.com/thu-coai/CrossWOZ"
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  _LICENSE = "Apache License, Version 2.0"
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- _URLs = {
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- # "train": "train.json.zip",
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- # "val": "val.json.zip",
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- # "test": "test.json.zip"
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- "all": "data.zip"
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- }
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-
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  class CrossWOZ(datasets.GeneratorBasedBuilder):
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  """CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset"""
@@ -214,7 +207,7 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
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  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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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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- data_dir = os.path.join(dl_manager.download_and_extract(_URLs["all"]), "data")
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
@@ -248,11 +241,6 @@ class CrossWOZ(datasets.GeneratorBasedBuilder):
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  """ Yields examples as (key, example) tuples. """
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  # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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  # The `key` is here for legacy reason (tfds) and is not important in itself.
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- print(filepath)
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- print(os.path.dirname(filepath))
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- print(os.listdir(os.path.dirname(filepath)))
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- print(os.path.curdir)
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- print(os.listdir(os.path.curdir))
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  def convert_goal(raw_goal):
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  goal = []
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  for subgoal in raw_goal:
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  _LICENSE = "Apache License, Version 2.0"
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  class CrossWOZ(datasets.GeneratorBasedBuilder):
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  """CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset"""
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  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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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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+ data_dir = dl_manager.download_and_extract("data.zip")
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  """ Yields examples as (key, example) tuples. """
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  # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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  # The `key` is here for legacy reason (tfds) and is not important in itself.
 
 
 
 
 
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  def convert_goal(raw_goal):
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  goal = []
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  for subgoal in raw_goal:
data.zip CHANGED
@@ -1,3 +1,3 @@
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- size 16360257
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+ oid sha256:c70e36e62f501a77537dedbd0340afeec9899f7c24574505785e372ba25894c2
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+ size 16338148
test.json.zip DELETED
@@ -1,3 +0,0 @@
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- size 1367462
 
 
 
train.json.zip DELETED
@@ -1,3 +0,0 @@
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- size 13624132
 
 
 
val.json.zip DELETED
@@ -1,3 +0,0 @@
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- oid sha256:b2b717990f6f0a1c98daaf5dc465e61d42f7de69c0d31e88e674275b1f34c94c
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- size 1368203