Changes

VQG.py

@@ -45,15 +45,10 @@ _DESCRIPTION = """\
 Visual questions for data science
 """
 
-_URL = "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/images.tar.gz"
+_URL = "https://huggingface.co/datasets/eduvedras/VQG-Balanced/resolve/main/images.tar.gz"
 
-_METADATA_URLS = {
-                "train": "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_train.csv", 
-                "validation": "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_validation.csv",
-                "test": "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_test.csv"
-            },
 
-class VQGTargz(datasets.GeneratorBasedBuilder):
+class VQGBalancedTargz(datasets.GeneratorBasedBuilder):
     """SQUAD: The Stanford Question Answering Dataset. Version 1.1."""
 
     def _info(self):
@@ -70,7 +65,7 @@ class VQGTargz(datasets.GeneratorBasedBuilder):
             # No default supervised_keys (as we have to pass both question
             # and context as input).
             supervised_keys=None,
-            homepage="https://huggingface.co/datasets/eduvedras/VQG",
+            homepage="https://huggingface.co/datasets/eduvedras/VQG-Balanced",
             citation=_CITATION,
             task_templates=[
                 QuestionAnsweringExtractive(
@@ -83,9 +78,9 @@ class VQGTargz(datasets.GeneratorBasedBuilder):
         path = dl_manager.download(_URL)
         image_iters = dl_manager.iter_archive(path)
         #split_metadata_path = dl_manager.download(_METADATA_URLS)
-        metadata_train_path = "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_train.csv" 
-        metadata_validation_path = "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_validation.csv"
-        metadata_test_path = "https://huggingface.co/datasets/eduvedras/VQG/resolve/main/metadata_test.csv"
+        metadata_train_path = "https://huggingface.co/datasets/eduvedras/VQG-Balanced/resolve/main/metadata_train.csv" 
+        metadata_validation_path = "https://huggingface.co/datasets/eduvedras/VQG-Balanced/resolve/main/metadata_validation.csv"
+        metadata_test_path = "https://huggingface.co/datasets/eduvedras/VQG-Balanced/resolve/main/metadata_test.csv"
 
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"images": image_iters,