Create bee-wings-large.py

bee-wings-large.py

@@ -0,0 +1,62 @@
+import datasets
+import tarfile
+import os
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {Small image-text set},
+author={James Briggs},
+year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+Random Small 
+"""
+
+
+_LICENSE = ""
+
+_REPO = "https://huggingface.co/datasets/smaciu/bee-wings-large"
+
+
+class ImageSet(datasets.GeneratorBasedBuilder):
+    """Small sample of image-text pairs"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'file_name': datasets.Value('string'),
+                    'image': datasets.Image(),
+                    'label': datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        images_archive = dl_manager.download(f"{_REPO}/resolve/main/bee-wings-large.tar")
+     
+        
+        image_iters = dl_manager.iter_archive(images_archive)
+        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."""
+    
+        for idx, (filepath, image) in enumerate(images):
+            
+            
+            filename = os.path.basename(filepath)  # Get the file name from the path
+            description = filename[:2]
+            yield idx, {
+                "file_name": filename,
+                "image": {"path": filepath, "bytes": image.read()},
+                "label": description,
+            }