adding dataset loading script

SciDuet.py

@@ -35,13 +35,7 @@ In the released dataset, the original papers and slides (both are in PDF format)
 The text contents from multiple slides that correspond to the same slide title are mreged. 
 """
 
-_URL = "https://huggingface.co/datasets/GEM/SciDuet/"
-_URLs = {
-    "train": "train.json",
-    "validation": "validation.json",
-    "test": "test.json",
-    "challenge_set": "challenge_woSectionHeader.json",
-}
+
 
 
 class SciDuetConfig(datasets.BuilderConfig):
@@ -56,13 +50,14 @@ class SciDuetConfig(datasets.BuilderConfig):
 
 
 class SciDuet(datasets.GeneratorBasedBuilder):
-    VERSION_1 = datasets.Version("1.0.0")
 
-    BUILDER_CONFIGS = [
-        SciDuetConfig(name="gem_data_split", version=VERSION_1, description="SciDuet - GEM version 1"),
-    ]
+    VERSION = datasets.Version("1.0.0")
 
-    DEFAULT_CONFIG_NAME = "gem_data_split"
+    # BUILDER_CONFIGS = [
+    #     SciDuetConfig(name="gem_data_split", version=VERSION_1, description="SciDuet - GEM version 1"),
+    # ]
+    #
+    # DEFAULT_CONFIG_NAME = "gem_data_split"
 
     def _info(self):
 
@@ -89,17 +84,21 @@ class SciDuet(datasets.GeneratorBasedBuilder):
 
                 }
             ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
             supervised_keys=None,
             license="Apache License 2.0",
             citation=_CITATION,
         )
 
+
     def _split_generators(self, dl_manager):
-        urls_to_download = _URLS[self.config.name]
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+        _URL = "https://huggingface.co/datasets/GEM/SciDuet/"
+        _URLs = {
+            "train": "train.json",
+            "validation": "validation.json",
+            "test": "test.json",
+            "challenge_set": "challenge_woSectionHeader.json",
+        }
+        downloaded_files = dl_manager.download_and_extract(_URLs)
 
         return [
                 datasets.SplitGenerator(