aadhiya commited on
Commit
642a03c
·
1 Parent(s): 1949b97

Update image-upoload.py

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Files changed (1) hide show
  1. image-upoload.py +34 -13
image-upoload.py CHANGED
@@ -1,33 +1,53 @@
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- import json
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  import datasets
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- _DESCRIPTION="""\
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  _URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
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- class Builddata(datasets.GeneratorBasedBuilder):
 
 
 
 
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
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  {
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- "text":datasets.Value("string"),
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- "image":datasets.Image(),
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  }
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  ),
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- supervised_keys=None
 
 
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  )
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- def _split_generators(self,dl_manager):
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- path=dl_manager.download(_URL)
 
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  image_iters=dl_manager.iter_archive(path)
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  return [
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- datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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- "images":image_iters
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  }
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  ),
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  ]
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-
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-
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- def _generate_examples(self,images):
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  idx=0
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  for filepath,image in images:
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  yield idx,{
@@ -35,3 +55,4 @@ class Builddata(datasets.GeneratorBasedBuilder):
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  "text":descriptions[idx]
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  }
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  idx+=1
 
 
 
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  import datasets
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+
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+ _CITATION = """\
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+ @InProceedings{huggingface:dataset,
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+ title = {Small image-text set},
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+ author={James Briggs},
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+ year={2022}
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ Demo dataset for testing or showing image-text capabilities.
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+ """
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+ _HOMEPAGE = "https://huggingface.co/datasets/jamescalam/image-text-demo"
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+
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+ _LICENSE = ""
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  _URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
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+ _REPO = "https://huggingface.co/datasets/jamescalam/image-text-demo"
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+
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+ class ImageSet(datasets.GeneratorBasedBuilder):
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+ """Small sample of image-text pairs"""
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+
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=datasets.Features(
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  {
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+ 'text': datasets.Value("string"),
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+ 'image': datasets.Image(),
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  }
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  ),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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  )
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+
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+ def _split_generators(self, dl_manager):
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+ path=dl_manager.download(_URL)
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  image_iters=dl_manager.iter_archive(path)
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  return [
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+ datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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+ "images": image_iters
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  }
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  ),
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  ]
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+
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+ def _generate_examples(self, images):
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+ """ This function returns the examples in the raw (text) form."""
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  idx=0
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  for filepath,image in images:
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  yield idx,{
 
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  "text":descriptions[idx]
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  }
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  idx+=1
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+