Update handwriting_dataset.py

handwriting_dataset.py

@@ -1,40 +1,51 @@
 import datasets
 
 logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Small image-text set},
+author={James Briggs},
+year={2022}
+}
+"""
 _DESCRIPTION = """
 Georgian language handwriting dataset!
 """
-_URL = 'https://huggingface.co/datasets/AnaChikashua/handwriting/resolve/main/handwriting_dataset.tar.gz'
+_URL = "https://huggingface.co/datasets/AnaChikashua/handwriting/resolve/main/handwriting_dataset.tar.gz"
+
+
 class HandwritingData(datasets.GeneratorBasedBuilder):
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-            features = datasets.Features(
-            {"alphabet": datasets.Value("string"),
-             "image": datasets.Image()
-             }
+            citation=_CITATION,
+            features=datasets.Features(
+                {"text": datasets.Value("string"),
+                 "image": datasets.Image()
+                 }
             ),
-            supervised_keys = None,
-            homepage = "https://huggingface.co/datasets/AnaChikashua/handwriting",
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/AnaChikashua/handwriting"
         )
+
     def _split_generators(self, dl_manager):
         path = dl_manager.dowload(_URL)
         image_iters = dl_manager.iter_archive(path)
         return [
             datasets.SplitGenerator(
-            name = datasets.Split.TRAIN,
-            gen_kwargs = {"images": image_iters}
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"images": image_iters}
             ),
         ]
+
     def _generate_examples(self, images):
         """This function returns the examples in the raw (text) form."""
-        idx = 0
         # Iterate through images
-        for filepath, image in images:
+        for idx, filepath, image in enumerate(images):
             # extract the text from the filename
             text = filepath.split("/")[-1].split(".")[0]
             yield idx, {
-                "alphabet": text,
+                "text": text,
                 "image": {"path": filepath, "bytes": image.read()}
             }
-            idx += 1