jordyvl commited on
Commit
8e418a3
1 Parent(s): 01eb7fd

TAR functionality

Browse files
Files changed (1) hide show
  1. unit-test_PDFfolder.py +9 -52
unit-test_PDFfolder.py CHANGED
@@ -8,34 +8,20 @@ logger = datasets.logging.get_logger(__name__)
8
 
9
  _DESCRIPTION = "A generic pdf folder"
10
 
11
- _CLASSES = ["categoryA", "categoryB"] #define in advance
12
 
13
  _URL = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data/data.tar.gz"
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15
- #folder
16
  # train
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  # categoryA
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  # file1
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  # test
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- #...
21
 
22
- #RVL-CDIP_multi
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24
  class PdfFolder(datasets.GeneratorBasedBuilder):
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  def _info(self):
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-
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- """
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- folder = None
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- elif isinstance(self.config.data_files, str):
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- folder = self.config.data_files
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- elif isinstance(self.config.data_files, dict):
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- folder = self.config.data_files.get("train", None)
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-
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- if folder is None:
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- raise RuntimeError()
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- """
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- #classes = sorted([x.name.lower() for x in Path(_URL).glob("*/**")])
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-
39
  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
41
  features=datasets.Features(
@@ -58,66 +44,37 @@ class PdfFolder(datasets.GeneratorBasedBuilder):
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  name=datasets.Split.TRAIN,
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  gen_kwargs={
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  "archive_iterator": dl_manager.iter_archive(archive_path),
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- "supposed_labelset": "train"
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  },
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  ),
64
  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
66
  gen_kwargs={
67
  "archive_iterator": dl_manager.iter_archive(archive_path),
68
- "supposed_labelset": "test"
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  },
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  ),
71
  datasets.SplitGenerator(
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  name=datasets.Split.VALIDATION,
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  gen_kwargs={
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  "archive_iterator": dl_manager.iter_archive(archive_path),
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- "supposed_labelset": "val"
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  },
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  ),
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  ]
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80
-
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- # if isinstance(self.config.data_files, str):
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- # return [
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- # datasets.SplitGenerator(
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- # name=datasets.Split.TRAIN, gen_kwargs={"archive_path": self.config.data_files}
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- # )
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- # ]
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-
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- # splits = []
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- # for split_name, folder in self.config.data_files.items():
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- # splits.append(
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- # datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})
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- # )
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-
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- # return splits
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-
96
  def _generate_examples(self, archive_iterator, supposed_labelset):
97
 
98
- #could also get the label from somewhere else
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-
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- #data/train/categoryB/581261-brown-invoice-10-29-11-04-12-2-13530037073412-pdf.pdf
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- #folder/labelset/label/filename
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-
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- #full_path = os.path.join(archive_iterator.args[0], file_path)
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-
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- #archive_path = archive_iterator.args[0]
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-
107
  extensions = {"pdf", "PDF"}
108
  for file_path, file_obj in archive_iterator:
109
 
110
- if file_path.split(".")[-1] not in extensions: #metadata.jsonlines
111
  continue
112
 
113
  folder, labelset, label, filename = file_path.split("/")
114
  if labelset != supposed_labelset:
115
  continue
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-
117
- images = pdf2image.convert_from_bytes(file_obj.read()) #can only read it once
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- #simple = {"path": file_path, "bytes": file_obj.read(), "labels": label}
119
 
120
- yield file_path, {"file": images, "labels": label}
121
 
122
- #labels = self.info.features["labels"]
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- #labels.encode_example(path.parent.name.lower())
 
8
 
9
  _DESCRIPTION = "A generic pdf folder"
10
 
11
+ _CLASSES = ["categoryA", "categoryB"] # define in advance
12
 
13
  _URL = "https://huggingface.co/datasets/jordyvl/unit-test_PDFfolder/resolve/main/data/data.tar.gz"
14
 
15
+ # folder
16
  # train
17
  # categoryA
18
  # file1
19
  # test
20
+ # ...
21
 
 
22
 
23
  class PdfFolder(datasets.GeneratorBasedBuilder):
24
  def _info(self):
 
 
 
 
 
 
 
 
 
 
 
 
 
25
  return datasets.DatasetInfo(
26
  description=_DESCRIPTION,
27
  features=datasets.Features(
 
44
  name=datasets.Split.TRAIN,
45
  gen_kwargs={
46
  "archive_iterator": dl_manager.iter_archive(archive_path),
47
+ "supposed_labelset": "train",
48
  },
49
  ),
50
  datasets.SplitGenerator(
51
  name=datasets.Split.TEST,
52
  gen_kwargs={
53
  "archive_iterator": dl_manager.iter_archive(archive_path),
54
+ "supposed_labelset": "test",
55
  },
56
  ),
57
  datasets.SplitGenerator(
58
  name=datasets.Split.VALIDATION,
59
  gen_kwargs={
60
  "archive_iterator": dl_manager.iter_archive(archive_path),
61
+ "supposed_labelset": "val",
62
  },
63
  ),
64
  ]
65
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  def _generate_examples(self, archive_iterator, supposed_labelset):
67
 
 
 
 
 
 
 
 
 
 
68
  extensions = {"pdf", "PDF"}
69
  for file_path, file_obj in archive_iterator:
70
 
71
+ if file_path.split(".")[-1] not in extensions: # metadata.jsonlines
72
  continue
73
 
74
  folder, labelset, label, filename = file_path.split("/")
75
  if labelset != supposed_labelset:
76
  continue
 
 
 
77
 
78
+ images = pdf2image.convert_from_bytes(file_obj.read())
79
 
80
+ yield file_path, {"file": images, "labels": label}