use 'captioned' and 'uncaptioned' for clarity

TeTIm-Eval.py

@@ -15,8 +15,8 @@ Text To Image Evaluation (TeTIm-Eval)
 """
 
 _URLS = {
-    "mini": "https://huggingface.co/datasets/galatolo/TeTIm-Eval/resolve/main/data/TeTIm-Eval-Mini.zip",
-    "full": "https://huggingface.co/datasets/galatolo/TeTIm-Eval/resolve/main/data/TeTIm-Eval.zip"
+    "captioned": "https://huggingface.co/datasets/galatolo/TeTIm-Eval/resolve/main/data/TeTIm-Eval-Mini.zip",
+    "uncaptioned": "https://huggingface.co/datasets/galatolo/TeTIm-Eval/resolve/main/data/TeTIm-Eval.zip"
 }
 
 _CLASSES = [
@@ -54,7 +54,7 @@ _MAP_CATEGORY = {
 }
 
 _FOLDERS = {
-    "mini": {
+    "captioned": {
         _CLASSES[0]: "TeTIm-Eval-Mini/sampled_art_digital",
         _CLASSES[1]: "TeTIm-Eval-Mini/sampled_art_sketch",
         _CLASSES[2]: "TeTIm-Eval-Mini/sampled_art_traditional",
@@ -66,7 +66,7 @@ _FOLDERS = {
         _CLASSES[8]: "TeTIm-Eval-Mini/sampled_photo_landscape",
         _CLASSES[9]: "TeTIm-Eval-Mini/sampled_photo_person",
     },
-    "full": {
+    "uncaptioned": {
         _CLASSES[0]: "TeTIm-Eval/sampled_art_digital",
         _CLASSES[1]: "TeTIm-Eval/sampled_art_sketch",
         _CLASSES[2]: "TeTIm-Eval/sampled_art_traditional",
@@ -88,18 +88,18 @@ class TeTImConfig(datasets.BuilderConfig):
 class TeTIm(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         TeTImConfig(
-            name="mini",
+            name="captioned",
             version=datasets.Version("1.0.0", ""),
             description="A random sampling of 300 text-images pairs (30 per category) from the TeTIm dataset, manually annotated by the same person",
         ),
         TeTImConfig(
-            name="full",
+            name="uncaptioned",
             version=datasets.Version("1.0.0", ""),
             description="2500 labelled images (250 per category) from the TeTIm dataset",
         ),
     ]
-    
-    DEFAULT_CONFIG_NAME="mini"
+
+    DEFAULT_CONFIG_NAME="captioned"
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -153,7 +153,7 @@ if __name__ == "__main__":
     from datasets import load_dataset
     dataset_config = {
         "LOADING_SCRIPT_FILES": os.path.join(os.getcwd(), "TeTIm-Eval.py"),
-        "CONFIG_NAME": "mini",
+        "CONFIG_NAME": "uncaptioned",
     }
     ds = load_dataset(
         dataset_config["LOADING_SCRIPT_FILES"],