Update handwriting_dataset.py

handwriting_dataset.py

@@ -1,4 +1,5 @@
 import datasets
+from datasets.tasks import ImageClassification
 _NAMES = ['ა', 'ბ', 'გ', 'დ', 'ე', 'ვ', 'ზ', 'თ', 'ი', 'კ', 'ლ', 'მ', 'ნ', 'ო', 'პ', 'ჟ', 'რ', 'ს', 'ტ', 'უ', 'ფ', 'ქ', 'ღ', 'ყ', 'შ', 'ჩ', 'ც', 'ძ', 'წ', 'ჭ', 'ხ', 'ჯ', 'ჰ']
 logger = datasets.logging.get_logger(__name__)
 
@@ -21,14 +22,14 @@ class HandwritingData(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             citation=_CITATION,
             features=datasets.Features(
-                {"text": datasets.Value("string"),
+                {
                  "label": datasets.features.ClassLabel(names=_NAMES),
                  "image": datasets.Image()
                  }
             ),
             supervised_keys=("image", "label"),
             homepage="https://huggingface.co/datasets/AnaChikashua/handwriting",
-            task_templates=[datasets.ImageClassification(image_column="image", label_column="label")],
+            task_templates=[ImageClassification(image_column="image", label_column="label")],
 
         )
 
@@ -49,7 +50,6 @@ class HandwritingData(datasets.GeneratorBasedBuilder):
             # extract the text from the filename
             text = [c for c in filepath if not 0 <= ord(c) <= 127][0]
             yield idx, {
-                "text": str(filepath),
-                "label": str(idx),
+                "label": str(text),
                 "image": {"path": filepath, "bytes": image.read()}
             }