Update vasr.py

vasr.py

@@ -38,19 +38,16 @@ _URLS = {
     "test": os.path.join(_URL, "test_gold.csv"),
 }
 
-class Winogavil(datasets.GeneratorBasedBuilder):
+class Vasr(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
 
     # If you need to make complex sub-parts in the datasets with configurable options
     # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
     # BUILDER_CONFIG_CLASS = MyBuilderConfig
 
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('vasr', 'test')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="TEST", version=VERSION, description="vasr gold test dataset"),
     ]
-    IMAGE_EXTENSION = "jpg"
 
     def _info(self):
         features = datasets.Features(
@@ -94,13 +91,6 @@ class Winogavil(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # 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.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        # data_dir = dl_manager.download_and_extract({
-        #     "examples_csv": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="test_gold.csv"),
-        #     "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset',filename="vasr_images.zip")
-        # })
-
-        # return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
-        # downloaded_files = dl_manager.download_and_extract(_URLS)
         data_dir = dl_manager.download_and_extract({
             "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="vasr_images.zip")
         })