changed the script to include prompt and choice

smokedataset.py

@@ -24,6 +24,8 @@ _NAMES = [
     "smoke"
 ]
 
+_PROMPT = "What is shown in the image?"
+_CHOICES = _NAMES
 
 class smokedataset(datasets.GeneratorBasedBuilder):
 
@@ -38,7 +40,9 @@ class smokedataset(datasets.GeneratorBasedBuilder):
             features= datasets.Features(
                 {
                     "image": datasets.Image(),
-                    "label": datasets.ClassLabel(names=_NAMES)
+                    "label": datasets.ClassLabel(names=_NAMES),
+                    "prompt": _PROMPT,
+                    "choices": _CHOICES
                 }
             ),
             # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
@@ -62,22 +66,6 @@ class smokedataset(datasets.GeneratorBasedBuilder):
         # 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(_URLS)
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "images": dl_manager.iter_archive(data_dir),
-                    "split": "train"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "images": dl_manager.iter_archive(data_dir),
-                    "split": "val"
-                },
-            ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
@@ -96,5 +84,7 @@ class smokedataset(datasets.GeneratorBasedBuilder):
             if splitfolder == split:
                 yield file_path,{
                             "image": {"path": file_path, "bytes": file_obj.read()},
-                            "label": label
+                            "label": label,
+                            "prompt": _PROMPT,
+                            "choices": _CHOICES
                         }