Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
machine-generated
Source Datasets:
original
ArXiv:
License:
system HF staff commited on
Commit
1264aa7
1 Parent(s): 317c08a

Update files from the datasets library (from 1.2.0)

Browse files

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

Files changed (1) hide show
  1. wiki_split.py +8 -9
wiki_split.py CHANGED
@@ -26,10 +26,13 @@ One million English sentences, each split into two sentences that together prese
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  Google's WikiSplit dataset was constructed automatically from the publicly available Wikipedia revision history. Although
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  the dataset contains some inherent noise, it can serve as valuable training data for models that split or merge sentences.
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  """
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- _URL = "https://github.com/google-research-datasets/wiki-split/raw/master"
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- _TRAIN_FILE = "train.tsv.zip"
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- _TEST_FILE = "test.tsv"
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- _DEV_FILE = "validation.tsv"
 
 
 
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  class WikiSplit(datasets.GeneratorBasedBuilder):
@@ -66,11 +69,7 @@ class WikiSplit(datasets.GeneratorBasedBuilder):
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  # TODO(wiki_split): 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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- "test": os.path.join(_URL, _TEST_FILE),
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- "dev": os.path.join(_URL, _DEV_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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  Google's WikiSplit dataset was constructed automatically from the publicly available Wikipedia revision history. Although
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  the dataset contains some inherent noise, it can serve as valuable training data for models that split or merge sentences.
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  """
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+
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+ _URL = "https://github.com/google-research-datasets/wiki-split/raw/master/"
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+ _URLS = {
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+ "train": _URL + "train.tsv.zip",
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+ "test": _URL + "test.tsv",
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+ "dev": _URL + "validation.tsv",
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+ }
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  class WikiSplit(datasets.GeneratorBasedBuilder):
 
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  # TODO(wiki_split): 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(