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  1. .gitattributes +1 -0
  2. README.md +28 -1
  3. dev.jsonl +0 -0
  4. docbank.py +167 -0
  5. test.jsonl +0 -0
  6. train.jsonl +3 -0
.gitattributes CHANGED
@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
 
 
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  *.jpg filter=lfs diff=lfs merge=lfs -text
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  *.jpeg filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
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+ train.jsonl filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,30 @@
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  ---
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: token
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+ dtype: string
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+ - name: bounding_box
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+ sequence:
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+ sequence: uint16
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+ - name: color
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+ sequence:
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+ sequence: uint8
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+ - name: font
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+ dtype: string
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+ - name: label
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 17139
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+ num_examples: 1
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+ - name: validation
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+ num_bytes: 17139
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+ num_examples: 1
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+ - name: test
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+ num_bytes: 17139
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+ num_examples: 1
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+ download_size: 0
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+ dataset_size: 51417
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  ---
dev.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
docbank.py ADDED
@@ -0,0 +1,167 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+ """DocBank document understanding dataset."""
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+
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+ import os
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+ import datasets
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+
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+ # Find for instance the citation on arxiv or on the dataset repo/website
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+ _CITATION = """\
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+ @misc{li2020docbank,
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+ title={DocBank: A Benchmark Dataset for Document Layout Analysis},
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+ author={Minghao Li and Yiheng Xu and Lei Cui and Shaohan Huang and Furu Wei and Zhoujun Li and Ming Zhou},
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+ year={2020},
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+ eprint={2006.01038},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ """
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+
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+ # You can copy an official description
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+ _DESCRIPTION = """\
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+ DocBank is a new large-scale dataset that is constructed using a weak supervision approach.
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+ It enables models to integrate both the textual and layout information for downstream tasks.
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+ The current DocBank dataset totally includes 500K document pages, where 400K for training, 50K for validation and 50K for testing.
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+ """
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+
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+ _HOMEPAGE = "https://doc-analysis.github.io/docbank-page/index.html"
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+
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+ _LICENSE = "Apache-2.0 license"
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+
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+
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+ class DocBank(datasets.GeneratorBasedBuilder):
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+ """DocBank is a dataset for Visual Document Understanding.
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+ It enable models to integrate both textual and layout informtion for downstream tasks."""
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+
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+ VERSION = datasets.Version("1.1.0")
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+
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+ @property
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+ def manual_download_instructions(self):
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+ return """\
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+ Please download the DocBank dataset from https://doc-analysis.github.io/docbank-page/index.html. Uncompress the dataset and use that location in
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+ --data_dir argument. """
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+
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+ def _info(self):
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+
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+ features = datasets.Features(
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+ {
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+ "image": datasets.Image(),
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+ "token": datasets.Value("string"),
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+ "bounding_box": datasets.Sequence(datasets.Sequence(datasets.Value("uint16"))),
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+ "color": datasets.Sequence(datasets.Sequence(datasets.Value("uint8"))),
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+ "font": datasets.Value("string"),
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+ "label": datasets.Value("string"),
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+ }
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+ )
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+
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+ return datasets.DatasetInfo(
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+ # This is the description that will appear on the datasets page.
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+ description=_DESCRIPTION,
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+ # This defines the different columns of the dataset and their types
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+ features=features, # Here we define them above because they are different between the two configurations
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+ # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
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+ # specify them. They'll be used if as_supervised=True in builder.as_dataset.
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+ # supervised_keys=("sentence", "label"),
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+ # Homepage of the dataset for documentation
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+ homepage=_HOMEPAGE,
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+ # License for the dataset if available
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+ license=_LICENSE,
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+ # Citation for the dataset
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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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+ # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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+ # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
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+
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+ # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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+ # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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+ # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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+ # urls = _URLS[self.config.name]
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+ # data_dir = dl_manager.download_and_extract(urls)
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+
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+ self.data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
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+
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join("train.jsonl"),
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+ "split": "train",
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join("dev.jsonl"),
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+ "split": "dev",
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join("test.jsonl"),
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+ "split": "test"
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+ },
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+ ),
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+ ]
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+
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+ # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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+ def _generate_examples(self, filepath, split):
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+
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+ print(os.getcwd())
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+ print(os.path.dirname(os.path.abspath(__file__)))
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+
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+ with open(filepath,'rt') as fp:
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+ index,basename = eval(fp.readline().strip())
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+
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+ txt_file = self.data_dir+'/DocBank_500K_txt/'+basename+'.txt'
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+ img_file = self.data_dir+'/DocBank_500K_ori_img/'+basename+'_ori.jpg'
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+
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+ words = []
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+ bboxes = []
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+ rgbs = []
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+ fontnames = []
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+ structures = []
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+
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+ with open(txt_file, 'r', encoding='utf8') as fp:
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+ for line in fp.readlines():
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+ tts = line.split('\t')
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+
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+ assert len(tts) == 10, f'Incomplete line in file {txt_file}'
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+
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+ word = tts[0]
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+ bbox = list(map(int, tts[1:5]))
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+ rgb = list(map(int, tts[5:8]))
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+ fontname = tts[8]
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+ structure = tts[9].strip()
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+
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+ words.append(word)
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+ bboxes.append(bbox)
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+ rgbs.append(rgb)
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+ fontnames.append(fontname)
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+ structures.append(structure)
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+
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+ yield index, {
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+ "image": img_file,
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+ "token": words,
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+ "bounding_box": bboxes,
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+ "color": rgbs,
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+ "font": fontnames,
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+ "label": structures,
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+ }
test.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
train.jsonl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a70200ff136876c3dea1d5b4430eea05cf40f4af0d08d160a642d2e893c5b7c7
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+ size 20655679