jglaser commited on
Commit
88fe72c
·
1 Parent(s): db83314

enable offline mode

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Files changed (1) hide show
  1. binding_affinity.py +12 -7
binding_affinity.py CHANGED
@@ -46,11 +46,12 @@ _LICENSE = "BSD two-clause"
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  # TODO: Add link to the official dataset URLs here
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  # The HuggingFace dataset library don't host the datasets but only point to the original files
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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- _URL = "https://huggingface.co/datasets/jglaser/binding_affinity/resolve/main/data/"
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- _URLs = {
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- "default": [_URL + "all.parquet"],
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- "no_kras": [_URL + "all_nokras.parquet"],
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- }
 
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  # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
@@ -124,8 +125,12 @@ class BindingAffinity(datasets.ArrowBasedBuilder):
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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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- files = dl_manager.download_and_extract(_URLs)
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- print(files)
 
 
 
 
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  return [
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  datasets.SplitGenerator(
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  # These kwargs will be passed to _generate_examples
 
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  # TODO: Add link to the official dataset URLs here
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  # The HuggingFace dataset library don't host the datasets but only point to the original files
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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+ _URL = "https://huggingface.co/datasets/jglaser/binding_affinity/resolve/main/"
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+
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+ _file_names = {'default': 'data/all.parquet',
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+ 'no_kras': 'data/all_nokras.parquet'}
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+
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+ _URLs = {name: _URL+_file_names[name] for name in _file_names}
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  # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
 
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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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+ files = _file_names
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+ try:
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+ files = dl_manager.download_and_extract(_URLs)
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+ except:
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+ pass
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+
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  return [
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  datasets.SplitGenerator(
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  # These kwargs will be passed to _generate_examples