Update vasr.py

vasr.py

@@ -32,6 +32,11 @@ _HOMEPAGE = "https://vasr-dataset.github.io/"
 _LICENSE = "https://creativecommons.org/licenses/by/4.0/"
 
 _URL = "https://huggingface.co/datasets/nlphuji/vasr/blob/main"
+_URLS = {
+    "train": os.path.join(_URL, "train_gold.csv"),
+    "dev": os.path.join(_URL, "dev_gold.csv"),
+    "test": os.path.join(_URL, "test_gold.csv"),
+}
 
 class Winogavil(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
@@ -43,7 +48,9 @@ class Winogavil(datasets.GeneratorBasedBuilder):
     # You will be able to load one or the other configurations in the following list with
     # data = datasets.load_dataset('vasr', 'test')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="TEST", version=VERSION, description="vasr dataset"),
+        datasets.BuilderConfig(name="TEST", version=VERSION, description="vasr gold test dataset"),
+        datasets.BuilderConfig(name="VALIDATION", version=VERSION, description="vasr gold dev dataset"),
+        datasets.BuilderConfig(name="TRAIN", version=VERSION, description="vasr gold train dataset"),
     ]
     IMAGE_EXTENSION = "jpg"
 
@@ -89,12 +96,25 @@ class Winogavil(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # 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({
+        #     "examples_csv": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="test_gold.csv"),
+        #     "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset',filename="vasr_images.zip")
+        # })
+
+        # return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
+        downloaded_files = dl_manager.download_and_extract(_URLS)
         data_dir = dl_manager.download_and_extract({
-            "examples_csv": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset', filename="test_gold.csv"),
-            "images_dir": hf_hub_url(repo_id="nlphuji/vasr", repo_type='dataset',filename="vasr_images.zip")
+            "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.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`
     def _generate_examples(self, examples_csv, images_dir):