Update vtqa2023.py

vtqa2023.py

@@ -24,10 +24,12 @@ datasets.Image()
 """ VTQA Dataset"""
 
 _CITATION = """\
-@inproceedings{Chen2023VTQA, 
-    title={VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning}, 
-    author={Kang Chen and Xiangqian Wu}, 
-    year={2023} 
+@inproceedings{chen2024vtqa,
+  title={VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning},
+  author={Chen, Kang and Wu, Xiangqian},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  pages={27218--27227},
+  year={2024}
 }
 """
 
@@ -89,7 +91,9 @@ _DATA_URL = "data"
 class VTQAConfig(datasets.BuilderConfig):
     """BuilderConfig for VTQA."""
 
-    def __init__(self, data_url: str = None, use_cws=False, local_url=None, **kwargs):
+    def __init__(
+        self, data_url: str = None, use_cws=False, local_url=None, get_test_split=False, **kwargs
+    ):
         super(VTQAConfig, self).__init__(
             version=datasets.Version("1.0.0", ""),
             description=self.description,
@@ -98,6 +102,7 @@ class VTQAConfig(datasets.BuilderConfig):
         self.data_url = _DATA_URL if data_url is None else data_url
         self.use_cws = use_cws
         self.local_url = local_url
+        self.get_test_split = get_test_split
 
     @property
     def features(self):
@@ -186,7 +191,7 @@ class VTQA(datasets.GeneratorBasedBuilder):
             cws_supp_dir = _get_url("cws_supp")
             self.cws_supp_dir = cws_supp_dir
 
-        return [
+        datasets_split = [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
@@ -229,22 +234,30 @@ class VTQA(datasets.GeneratorBasedBuilder):
                     "labeled": False,
                 },
             ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(annotation_dir, "test.json"),
-                    "image_dir": (
-                        os.path.join(image_dir, "test") if image_dir else None
-                    ),
-                    "region_dir": (
-                        os.path.join(region_dir, "test") if region_dir else None
-                    ),
-                    "grid_dir": os.path.join(grid_dir, "test") if grid_dir else None,
-                    "labeled": False,
-                },
-            ),
         ]
 
+        if self.config.get_test_split:
+            return datasets_split + [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "filepath": os.path.join(annotation_dir, "test.json"),
+                        "image_dir": (
+                            os.path.join(image_dir, "test") if image_dir else None
+                        ),
+                        "region_dir": (
+                            os.path.join(region_dir, "test") if region_dir else None
+                        ),
+                        "grid_dir": (
+                            os.path.join(grid_dir, "test") if grid_dir else None
+                        ),
+                        "labeled": False,
+                    },
+                )
+            ]
+        else:
+            return datasets_split
+
     def _generate_examples(
         self, filepath, image_dir=None, region_dir=None, grid_dir=None, labeled=True
     ):