Update vasr.py

vasr.py

@@ -105,9 +105,9 @@ class Winogavil(datasets.GeneratorBasedBuilder):
             "images_dir": hf_hub_url("datasets/nlphuji/vasr", filename="vasr_images.zip")
         })
 
-        train_gen = datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={**data_dir, **{"split_key": "train", "files": dl_manager.download_and_extract(_URLS['train'])}})
-        dev_gen = datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={**data_dir, **{"split_key": "train", "files": dl_manager.download_and_extract(_URLS['dev'])}})
-        test_gen = datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={**data_dir, **{"split_key": "train", "files": dl_manager.download_and_extract(_URLS['test'])}})
+        train_gen = datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={**data_dir, **{"name": "train", "files": dl_manager.download_and_extract(_URLS['train'])}})
+        dev_gen = datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={**data_dir, **{"name": "train", "files": dl_manager.download_and_extract(_URLS['dev'])}})
+        test_gen = datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={**data_dir, **{"name": "train", "files": dl_manager.download_and_extract(_URLS['test'])}})
 
         return [train_gen, dev_gen, test_gen]