got dataset-cli test to work and generated readme

README.md

@@ -1,4 +1,9 @@
 ---
+license: mit
+task_categories:
+- visual-question-answering
+task_ids:
+- multi-label-image-classification
 dataset_info:
   features:
   - name: image
@@ -10,19 +15,18 @@ dataset_info:
           '0': cloud
           '1': other
           '2': smoke
+  - name: prompt
+    dtype: string
+  - name: choices
+    sequence: string
   splits:
   - name: test
-    num_bytes: 118720119
+    num_bytes: 119949703
     num_examples: 19832
   download_size: 132474880
-  dataset_size: 118720119
+  dataset_size: 119949703
 tags:
 - climate
-task_categories:
-- visual-question-answering
-task_ids:
-- multi-label-image-classification
-license: mit
 ---
 
 # Motivation

smokedataset_QA.py

@@ -41,7 +41,7 @@ class smokedataset_QA(datasets.GeneratorBasedBuilder):
                 {
                     "image": datasets.Image(),
                     "label": datasets.ClassLabel(names=_NAMES),
-                    "prompt": datasets.Value("string"),
+                    "prompt": datasets.Value(dtype='string', id=None),
                     "choices": datasets.Sequence(datasets.Value("string"))
                 }
             ),