Update artwork_for_sdxl.py

artwork_for_sdxl.py

@@ -39,7 +39,7 @@ _DESCRIPTION = """\
 Artwork Images, to predict the year of the artwork created.
 """
 
-_URL = "https://huggingface.co/datasets/AIPI540/Art2/resolve/main/final_art_data.parquet"
+_URL = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/metadata.jsonl"
 
 class Artwork(datasets.GeneratorBasedBuilder):
     """Artwork Images - a dataset of centuries of Images classes"""
@@ -49,20 +49,20 @@ class Artwork(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "label": datasets.features.ClassLabel(names=classes),
-                    "image_data": datasets.Value("binary"),
+                    "prompt": str,
+                    "image_data": Image,
                 }
             ),
             supervised_keys=("label","image_data"),
             homepage=_HOMEPAGE,
             citation=_CITATION,
-            task_templates=[ImageClassification(image_column="image_data", label_column="label")],
+            task_templates=[ImageClassification(image_column="image_data", label_column="prompt")],
         )
 
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(_URL)
-        df = pd.read_parquet(data_files, engine='pyarrow')
-
+        df = pd.read_json(data_files, lines=True)
+        
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -78,11 +78,11 @@ class Artwork(datasets.GeneratorBasedBuilder):
             print(cnt)
             cnt+=1
             print(path)
-            print(path.label)
-            print(type(path.label))
+            print(path.prompt)
+            print(type(path.prompt))
             print(path.image_data)
             print(type(path.image_data))
             yield {
-              "label": classes[(path.label)],
-              "image_data": path.image_data,
+              "prompt": path.prompt,
+              "image_data": Image.open(path.image_data),
             }