fixing script

images.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc56b5d6c394ea1ff463ff9211f4af0cd4c441b8192f91eabbd9224e1120c1e5
+size 7660992

scripts/load.py

@@ -1,4 +1,4 @@
 from datasets import load_dataset
 
-dataset = load_dataset('danbrown/testman-dataset', split='train')
+dataset = load_dataset('danbrown/testman-dataset-2', split='train')
 print(dataset[0])

testman-dataset.py

@@ -0,0 +1,58 @@
+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/danbrown/testman-dataset"
+
+_LICENSE = ""
+
+_REPO = "https://huggingface.co/datasets/danbrown/testman-dataset"
+
+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):
+        images_archive = dl_manager.download(f"{_REPO}/resolve/main/images.tar.gz")
+        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):
+            description = filepath.split('/')[-1][:-4]
+            description = description.replace('_', ' ')
+            yield idx, {
+                "image": {"path": filepath, "bytes": image.read()},
+                "text": description,
+            }