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image-text-demo.py

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+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-set"
+
+_LICENSE = ""
+
+_REPO = "https://huggingface.co/datasets/jamescalam/image-set"
+
+class ImageSet(datasets.GeneratorBasedBuilder):
+    """Small sample of image-text pairs"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'id': datasets.Value("int32"),
+                    'text': datasets.Value("string"),
+                    'image': datasets.Image(),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        images_path = dl_manager.download_and_extract(f"{_REPO}/resolve/main/unsplash.tgz")
+        image_iters = dl_manager.iter_archive(f"{images_path}/images")
+        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."""
+        id_ = 0
+        for filepath, image in images:
+            description = filepath.split('/')[-1][:-4]
+            description = description.replace('_', ' ')
+            yield id_, {
+                "image": {"path": filepath, "bytes": image.read()},
+                "text": description,
+            }
+            idx += 1