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README.md

@@ -1,54 +1,40 @@
 ---
 dataset_info:
   features:
-  - name: image
-    dtype: image
-  - name: chart_type
-    dtype: string
-  - name: question
-    dtype: string
-  - name: question_class
-    dtype: string
-  - name: gold
-    list: string
-  - name: correct_or_misleading
-    dtype: int64
-  - name: misleader
-    dtype: string
-  - name: annotations
-    list: string
+    - name: image
+      dtype: image
+    - name: chart_type
+      dtype: string
+    - name: question
+      dtype: string
+    - name: question_class
+      dtype: string
+    - name: gold
+      sequence: string
+    - name: correct_or_misleading
+      dtype: int64
+    - name: misleader
+      dtype: string
+    - name: annotations
+      sequence: string
   splits:
-  - name: train
-    num_bytes: 227281966
-    num_examples: 6059
-  - name: val
-    num_bytes: 232938718
-    num_examples: 6146
-  - name: test
-    num_bytes: 222234422
-    num_examples: 6042
-  download_size: 736621719
-  dataset_size: 682455106
+    - name: train
+      num_examples: 6059
+    - name: val
+      num_examples: 6146
+    - name: test
+      num_examples: 6042
 tags:
-- charts
-- data-visualization
-- visual-question-answering
-- image-classification
-- misleading-visualizations
-- arxiv:2601.12983
+  - charts
+  - data-visualization
+  - visual-question-answering
+  - image-classification
+  - misleading-visualizations
+  - arxiv:2601.12983
 task_categories:
-- image-classification
-- visual-question-answering
+  - image-classification
+  - visual-question-answering
 pretty_name: AttackViz
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
 ---
 
 # AttackViz
@@ -71,6 +57,7 @@ The dataset contains 18,247 examples across three splits:
 
 - `image`: chart image.
 - `chart_type`: chart family. Values include `v_bar`, `h_bar`, and `line`.
+- `question`: natural-language question associated with the chart.
 - `question_class`: question category. Values include `compound`, `comparison`, `min_max`, `data_retrieval`, and `arithmetic`.
 - `gold`: list of expected answer strings.
 - `correct_or_misleading`: binary label where `0` means correct and `1` means misleading.