Update image-test.py

image-test.py

@@ -1,5 +1,22 @@
 
+import datasets
 
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Small image-text set},
+author={James Briggs},
+year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+Demo dataset for testing or showing image-text capabilities.
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/jamescalam/image-text-demo"
+
+_LICENSE = ""
+_URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
+_REPO = "https://huggingface.co/datasets/jamescalam/image-text-demo"
 descriptions=[
     "BotPeg Dance",
     "BotPeg Dance",
@@ -18,4 +35,44 @@ descriptions=[
     "BotPeg Thinking",
     "BotPeg Winner",
     "BotPeg Worried",
-]
+]
+
+class ImageSet(datasets.GeneratorBasedBuilder):
+    """Small sample of image-text pairs"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'text': datasets.Value("string"),
+                    'image': datasets.Image(),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+          path=dl_manager.download(_URL)
+          image_iters=dl_manager.iter_archive(path)
+          return [
+            datasets.SplitGenerator(
+                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
+        for filepath,image in images:
+            yield idx,{
+                "image":{"path":filepath,"bytes":image.read()},
+                "text":descriptions[idx]
+            }
+            idx+=1
+