Update vasr.py

vasr.py

@@ -100,19 +100,16 @@ class Winogavil(datasets.GeneratorBasedBuilder):
         # })
 
         # return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
-        downloaded_files = dl_manager.download_and_extract(_URLS)
+        # downloaded_files = dl_manager.download_and_extract(_URLS)
         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, **{'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"]}}),
-        ]
+        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'])}})
+
+        return [train_gen, dev_gen, test_gen]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, examples_csv, images_dir):