Update parquet files

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a0d03ea94a97c2f80c9e0c55853eb0a12518719959b8d945f3b1c688c0dd6f3
-size 172266
+oid sha256:3a1de4efd4c62968df042d9a9934a27ca4917ab985d529588574bc382935483d
+size 180562

hf-imagetext.py

@@ -1,37 +0,0 @@
-import json
-import datasets
-
-_URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
-class Builddata(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text":datasets.Value("string"),
-                 "image":datasets.Image(),
-                }
-            ),
-            supervised_keys=None
-        )
-    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):
-        idx=0
-        for filepath,image in images:
-            yield idx,{
-                "image":{"path":filepath,"bytes":image.read()},
-                "text":descriptions[idx]
-            }
-            idx+=1

image-upoload.py

@@ -1,59 +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 Singing','Botpeg Thinking','Botpeg Dancing']
-
-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
-