ibrahimahmood commited on
Commit
d01ff0a
·
verified ·
1 Parent(s): f72c974

Upload 4 files

Browse files
Files changed (4) hide show
  1. images.zip +3 -0
  2. labels.tarz.zip +3 -0
  3. pidray-semantics.py +60 -0
  4. pidray-targz.py +80 -0
images.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad6d6d6cb582aeea7843f4e33d7e8d767252d32a2ff16cb72b39e7cc63bfaad3
3
+ size 135662992
labels.tarz.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfa8ff3b95accf47303c7276c2d6da2cb00f4b544f2ba217399b5eaa7275911c
3
+ size 3681280
pidray-semantics.py ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ import json
3
+
4
+ import datasets
5
+ from datasets.tasks import QuestionAnsweringExtractive
6
+
7
+
8
+ logger = datasets.logging.get_logger(__name__)
9
+
10
+ _URL = "https://huggingface.co/datasets/jaradat/pidray-semantics/resolve/main/pixel_values.tar.gz"
11
+ _URL2 = "https://huggingface.co/datasets/jaradat/pidray-semantics/resolve/main/label.tar.gz"
12
+
13
+ class pidraySemantics(datasets.GeneratorBasedBuilder):
14
+
15
+ def _info(self):
16
+ return datasets.DatasetInfo(
17
+ features=datasets.Features(
18
+ {
19
+ #"text": datasets.Value("string"),
20
+ "pixel_values": datasets.Image(),
21
+ "label": datasets.Image(),
22
+ }
23
+ ),
24
+ # No default supervised_keys (as we have to pass both question
25
+ # and context as input).
26
+ supervised_keys=None,
27
+ homepage="https://huggingface.co/datasets/jaradat/pidray-semantics",
28
+
29
+ )
30
+
31
+ def _split_generators(self, dl_manager):
32
+ path = dl_manager.download(_URL)
33
+ image_iters = dl_manager.iter_archive(path)
34
+
35
+
36
+ path2 = dl_manager.download(_URL2)
37
+ label_iters = dl_manager.iter_archive(path2)
38
+
39
+ return [
40
+ datasets.SplitGenerator(
41
+ name=datasets.Split.TRAIN,
42
+ gen_kwargs={
43
+ "images": image_iters,
44
+ "label": label_iters
45
+ }
46
+ ),
47
+
48
+ ]
49
+
50
+ def _generate_examples(self, images, label):
51
+ idx = 0
52
+ # iterate through images
53
+
54
+ for (filepath, image), (filepath2, image2) in zip(images, label):
55
+
56
+ yield idx, {
57
+ "pixel_values": {"path": filepath, "bytes": image.read()},
58
+ "label": {"path": filepath2, "bytes": image2.read()},
59
+ }
60
+ idx += 1
pidray-targz.py ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+
16
+ # Lint as: python3
17
+
18
+
19
+ import json
20
+
21
+ import datasets
22
+ from datasets.tasks import QuestionAnsweringExtractive
23
+
24
+
25
+ logger = datasets.logging.get_logger(__name__)
26
+
27
+ _URL = "https://huggingface.co/datasets/jaradat/pidray-semantics/resolve/main/pixel_values.tar.gz"
28
+ _URL2 = "https://huggingface.co/datasets/jaradat/pidray-semantics/resolve/main/label.tar.gz"
29
+
30
+
31
+
32
+ class PIDrayTargz(datasets.GeneratorBasedBuilder):
33
+
34
+ def _info(self):
35
+ return datasets.DatasetInfo(
36
+ features=datasets.Features(
37
+ {
38
+ #"text": datasets.Value("string"),
39
+ "pixel_values": datasets.Image(),
40
+ "label": datasets.Image(),
41
+ }
42
+ ),
43
+ # No default supervised_keys (as we have to pass both question
44
+ # and context as input).
45
+ supervised_keys=None,
46
+ homepage="https://huggingface.co/datasets/jaradat/pidray-semantics",
47
+
48
+ )
49
+
50
+ def _split_generators(self, dl_manager):
51
+ path = dl_manager.download(_URL)
52
+ image_iters = dl_manager.iter_archive(path)
53
+
54
+
55
+ path2 = dl_manager.download(_URL2)
56
+ label_iters = dl_manager.iter_archive(path2)
57
+
58
+ return [
59
+ datasets.SplitGenerator(
60
+ name=datasets.Split.TRAIN,
61
+ gen_kwargs={
62
+ "images": image_iters,
63
+ "label": label_iters
64
+ }
65
+ ),
66
+
67
+ ]
68
+
69
+ def _generate_examples(self, images, label):
70
+ """This function returns the examples in the raw (text) form."""
71
+ idx = 0
72
+ # iterate through images
73
+ for filepath, image in images
74
+
75
+ text = filepath.split
76
+ yield idx, {
77
+ "pixel_values": {"filepath": filepath, "image": image.read()},
78
+ "label": {"filepath": label[idx]['filepath'], "label": label[idx]['image'].read()},
79
+ }
80
+ idx += 1