Update parquet files

images.tar.gz → default/image-test-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b5084135eafcf57de9678ca135db6417cc60cee79b7be1a544b84eb6ffce22fd
-size 308386
+oid sha256:6fb0ea54b75342f36d81670a1a9b3dc38436c5a75daab71c35361e125da3dc4e
+size 180539

image-test.py

@@ -1,78 +0,0 @@
-
-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",
-    "BotPeg Excited",
-    "BotPeg Excited",
-    "BotPeg Fight",
-    "BotPeg Funny",
-    "BotPeg Funny",
-    "BotPeg Funny",
-    "BotPeg Love",
-    "BotPeg Mad",
-    "BotPeg Sad",
-    "BotPeg Scared",
-    "BotPeg Shy",
-    "BotPeg Thinking",
-    "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
-