Update vasr.py

vasr.py

@@ -13,10 +13,9 @@
 # limitations under the License.
 """ VASR Loading Script """
 
-
 import json
 import os
-import pandas as pd 
+import pandas as pd
 import datasets
 from huggingface_hub import hf_hub_url
 
@@ -60,7 +59,7 @@ class Vasr(datasets.GeneratorBasedBuilder):
                 "A_img": [datasets.Value("string")],
                 "B_img": [datasets.Value("string")],
                 "C_img": [datasets.Value("string")],
-                "candidates": [datasets.Value("string")], 
+                "candidates": [datasets.Value("string")],
                 "label": datasets.Value("int64"),
                 "D_img": [datasets.Value("string")],
                 "A_verb": [datasets.Value("string")],
@@ -98,13 +97,16 @@ class Vasr(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_and_extract({
             "images_dir": hf_hub_url("datasets/nlphuji/vasr", filename="vasr_images.zip")
-            })
-            
+        })
+
         # return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], gen_kwargs=data_dir}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"], gen_kwargs=data_dir}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"], gen_kwargs=data_dir}),
+            datasets.SplitGenerator(name=datasets.Split.TEST,
+                                    gen_kwargs={**data_dir, **{'filepath': downloaded_files["test"]}}),
+            datasets.SplitGenerator(name=datasets.Split.TRAIN,
+                                    gen_kwargs={**data_dir, **{'filepath': downloaded_files["train"]}}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION,
+                                    gen_kwargs={**data_dir, **{'filepath': downloaded_files["dev"]}}),
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
@@ -116,10 +118,11 @@ class Vasr(datasets.GeneratorBasedBuilder):
         # columns_to_serialize = ['candidates', 'associations']
         # for c in columns_to_serialize:
         #   df[c] = df[c].apply(json.loads)
-    
+
         for r_idx, r in df.iterrows():
             r_dict = r.to_dict()
             r_dict['candidates'] = json.loads(r_dict['candidates'])
-            candidates_images = [os.path.join(images_dir, "vasr_images", f"{x}.{self.IMAGE_EXTENSION}") for x in r_dict['candidates']]
+            candidates_images = [os.path.join(images_dir, "vasr_images", f"{x}.{self.IMAGE_EXTENSION}") for x in
+                                 r_dict['candidates']]
             r_dict['candidates_images'] = candidates_images
             yield r_idx, r_dict