Added 'full' config

TeTIm-Eval.py

@@ -15,7 +15,8 @@ Text To Image Evaluation (TeTIm-Eval)
 """
 
 _URLS = {
-    "mini": "https://huggingface.co/datasets/galatolo/TeTIm-Eval/resolve/main/data/TeTIm-Eval-Mini.zip"
+    "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"
 }
 
 _CATEGORIES = [
@@ -44,6 +45,18 @@ _FOLDERS = {
         _CATEGORIES[7]: "TeTIm-Eval-Mini/sampled_photo_food",
         _CATEGORIES[8]: "TeTIm-Eval-Mini/sampled_photo_landscape",
         _CATEGORIES[9]: "TeTIm-Eval-Mini/sampled_photo_person",
+    },
+    "full": {
+        _CATEGORIES[0]: "TeTIm-Eval/sampled_art_digital",
+        _CATEGORIES[1]: "TeTIm-Eval/sampled_art_sketch",
+        _CATEGORIES[2]: "TeTIm-Eval/sampled_art_traditional",
+        _CATEGORIES[3]: "TeTIm-Eval/sampled_painting_baroque",
+        _CATEGORIES[4]: "TeTIm-Eval/sampled_painting_high-renaissance",
+        _CATEGORIES[5]: "TeTIm-Eval/sampled_painting_neoclassicism",
+        _CATEGORIES[6]: "TeTIm-Eval/sampled_photo_animal",
+        _CATEGORIES[7]: "TeTIm-Eval/sampled_photo_food",
+        _CATEGORIES[8]: "TeTIm-Eval/sampled_photo_landscape",
+        _CATEGORIES[9]: "TeTIm-Eval/sampled_photo_person",
     }
 }
 
@@ -57,7 +70,12 @@ class TeTIm(datasets.GeneratorBasedBuilder):
         TeTImConfig(
             name="mini",
             version=datasets.Version("1.0.0", ""),
-            description="A random sampling of 300 images (30 for category) from the TeTIm dataset, manually annotated by the same person",
+            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",
+            version=datasets.Version("1.0.0", ""),
+            description="2500 labelled images (250 per category) from the TeTIm dataset",
         ),
     ]
 
@@ -111,7 +129,7 @@ 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": "full",
     }
     ds = load_dataset(
         dataset_config["LOADING_SCRIPT_FILES"],