Update fairface_val.py

fairface_val.py

@@ -20,13 +20,15 @@ import json
 from huggingface_hub import hf_hub_url
 
 _INPUT_CSV = "fairface_labeled_val.csv"
-_INPUT_IMAGES = "fairface_val_images"
+_INPUT_IMAGES_025 = "fairface_val_images"
+_INPUT_IMAGE_125 = 'fairface_val_images_125'
 _REPO_ID = "nlphuji/fairface_val"
 
 class Dataset(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="TEST", version=VERSION, description="test"),
+        datasets.BuilderConfig(name="padding_025", version=VERSION, description="Padding=0.25"),
+        datasets.BuilderConfig(name="padding_125", version=VERSION, description="Padding=0.25"),
     ]
 
     def _info(self):
@@ -49,12 +51,19 @@ class Dataset(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
 
         repo_id = _REPO_ID
-        data_dir = dl_manager.download_and_extract({
+        data_dir_025 = dl_manager.download_and_extract({
             "examples_csv": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename=_INPUT_CSV),
-            "images_dir": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename=f"{_INPUT_IMAGES}.zip")
+            "images_dir": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename=f"{_INPUT_IMAGES_025}.zip")
         })
+        data_dir_125 = dl_manager.download_and_extract({
+            "examples_csv": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename=_INPUT_CSV),
+            "images_dir": hf_hub_url(repo_id=repo_id, repo_type='dataset', filename=f"{_INPUT_IMAGES_125}.zip")
+        })
+
+        splits = [datasets.SplitGenerator(name=datasets.Split.padding_025, gen_kwargs=data_dir_025),
+                 datasets.SplitGenerator(name=datasets.Split.padding_125, gen_kwargs=data_dir_125)]
 
-        return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=data_dir)]
+        return splits
 
 
     def _generate_examples(self, examples_csv, images_dir):