yonatanbitton commited on
Commit
3395d86
1 Parent(s): d78ecbb

Update vasr.py

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Files changed (1) hide show
  1. vasr.py +1 -11
vasr.py CHANGED
@@ -38,19 +38,16 @@ _URLS = {
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  "test": os.path.join(_URL, "test_gold.csv"),
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  }
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- class Winogavil(datasets.GeneratorBasedBuilder):
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  VERSION = datasets.Version("1.1.0")
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  # If you need to make complex sub-parts in the datasets with configurable options
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  # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
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  # BUILDER_CONFIG_CLASS = MyBuilderConfig
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- # You will be able to load one or the other configurations in the following list with
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- # data = datasets.load_dataset('vasr', 'test')
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  BUILDER_CONFIGS = [
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  datasets.BuilderConfig(name="TEST", version=VERSION, description="vasr gold test dataset"),
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  ]
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- IMAGE_EXTENSION = "jpg"
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  def _info(self):
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  features = datasets.Features(
@@ -94,13 +91,6 @@ class Winogavil(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 = dl_manager.download_and_extract({
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- # "examples_csv": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="test_gold.csv"),
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- # "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset',filename="vasr_images.zip")
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- # })
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-
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- # return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
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- # downloaded_files = dl_manager.download_and_extract(_URLS)
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  data_dir = dl_manager.download_and_extract({
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  "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="vasr_images.zip")
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  })
 
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  "test": os.path.join(_URL, "test_gold.csv"),
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  }
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+ class Vasr(datasets.GeneratorBasedBuilder):
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  VERSION = datasets.Version("1.1.0")
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  # If you need to make complex sub-parts in the datasets with configurable options
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  # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
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  # BUILDER_CONFIG_CLASS = MyBuilderConfig
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  BUILDER_CONFIGS = [
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  datasets.BuilderConfig(name="TEST", version=VERSION, description="vasr gold test dataset"),
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  ]
 
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  def _info(self):
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  features = datasets.Features(
 
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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({
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  "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="vasr_images.zip")
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  })