Update image-upoload.py
Browse files- image-upoload.py +34 -13
image-upoload.py
CHANGED
|
@@ -1,33 +1,53 @@
|
|
| 1 |
-
import json
|
| 2 |
import datasets
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
_URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
def _info(self):
|
| 7 |
return datasets.DatasetInfo(
|
| 8 |
description=_DESCRIPTION,
|
| 9 |
features=datasets.Features(
|
| 10 |
{
|
| 11 |
-
|
| 12 |
-
|
| 13 |
}
|
| 14 |
),
|
| 15 |
-
supervised_keys=None
|
|
|
|
|
|
|
| 16 |
)
|
| 17 |
-
|
| 18 |
-
|
|
|
|
| 19 |
image_iters=dl_manager.iter_archive(path)
|
| 20 |
return [
|
| 21 |
-
|
| 22 |
name=datasets.Split.TRAIN,
|
| 23 |
gen_kwargs={
|
| 24 |
-
"images":image_iters
|
| 25 |
}
|
| 26 |
),
|
| 27 |
]
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
idx=0
|
| 32 |
for filepath,image in images:
|
| 33 |
yield idx,{
|
|
@@ -35,3 +55,4 @@ class Builddata(datasets.GeneratorBasedBuilder):
|
|
| 35 |
"text":descriptions[idx]
|
| 36 |
}
|
| 37 |
idx+=1
|
|
|
|
|
|
|
|
|
| 1 |
import datasets
|
| 2 |
+
|
| 3 |
+
_CITATION = """\
|
| 4 |
+
@InProceedings{huggingface:dataset,
|
| 5 |
+
title = {Small image-text set},
|
| 6 |
+
author={James Briggs},
|
| 7 |
+
year={2022}
|
| 8 |
+
}
|
| 9 |
+
"""
|
| 10 |
+
|
| 11 |
+
_DESCRIPTION = """\
|
| 12 |
+
Demo dataset for testing or showing image-text capabilities.
|
| 13 |
+
"""
|
| 14 |
+
_HOMEPAGE = "https://huggingface.co/datasets/jamescalam/image-text-demo"
|
| 15 |
+
|
| 16 |
+
_LICENSE = ""
|
| 17 |
_URL="https://huggingface.co/datasets/aadhiya/image-upoload/resolve/main/images.tar.gz"
|
| 18 |
+
_REPO = "https://huggingface.co/datasets/jamescalam/image-text-demo"
|
| 19 |
+
|
| 20 |
+
class ImageSet(datasets.GeneratorBasedBuilder):
|
| 21 |
+
"""Small sample of image-text pairs"""
|
| 22 |
+
|
| 23 |
def _info(self):
|
| 24 |
return datasets.DatasetInfo(
|
| 25 |
description=_DESCRIPTION,
|
| 26 |
features=datasets.Features(
|
| 27 |
{
|
| 28 |
+
'text': datasets.Value("string"),
|
| 29 |
+
'image': datasets.Image(),
|
| 30 |
}
|
| 31 |
),
|
| 32 |
+
supervised_keys=None,
|
| 33 |
+
homepage=_HOMEPAGE,
|
| 34 |
+
citation=_CITATION,
|
| 35 |
)
|
| 36 |
+
|
| 37 |
+
def _split_generators(self, dl_manager):
|
| 38 |
+
path=dl_manager.download(_URL)
|
| 39 |
image_iters=dl_manager.iter_archive(path)
|
| 40 |
return [
|
| 41 |
+
datasets.SplitGenerator(
|
| 42 |
name=datasets.Split.TRAIN,
|
| 43 |
gen_kwargs={
|
| 44 |
+
"images": image_iters
|
| 45 |
}
|
| 46 |
),
|
| 47 |
]
|
| 48 |
+
|
| 49 |
+
def _generate_examples(self, images):
|
| 50 |
+
""" This function returns the examples in the raw (text) form."""
|
| 51 |
idx=0
|
| 52 |
for filepath,image in images:
|
| 53 |
yield idx,{
|
|
|
|
| 55 |
"text":descriptions[idx]
|
| 56 |
}
|
| 57 |
idx+=1
|
| 58 |
+
|