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init dataset loader script - info

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  1. nih-chest-x-ray.py +78 -0
nih-chest-x-ray.py ADDED
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+ import os
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+
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+ import datasets
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+ from datasets.tasks import ImageClassification
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+
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+
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+ _HOMEPAGE = "https://nihcc.app.box.com/v/ChestXray-NIHCC"
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+
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+ _CITATION = """\
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+ @ONLINE {beansdata,
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+ author="Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald Summer",
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+ title="ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases",
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+ month="January",
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+ year="2017",
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+ url="https://nihcc.app.box.com/v/ChestXray-NIHCC"
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+ }
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+ """
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+
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+ _DESCRIPTION = """\
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+ The NIH Chest X-ray dataset consists of 100,000 de-identified images of chest x-rays. The images are in PNG format.
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+
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+ The data is provided by the NIH Clinical Center and is available through the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCC
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+ """
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+
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+ _URLS = [
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+ 'https://nihcc.box.com/shared/static/vfk49d74nhbxq3nqjg0900w5nvkorp5c.gz',
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+ 'https://nihcc.box.com/shared/static/i28rlmbvmfjbl8p2n3ril0pptcmcu9d1.gz',
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+ 'https://nihcc.box.com/shared/static/f1t00wrtdk94satdfb9olcolqx20z2jp.gz',
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+ 'https://nihcc.box.com/shared/static/0aowwzs5lhjrceb3qp67ahp0rd1l1etg.gz',
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+ 'https://nihcc.box.com/shared/static/v5e3goj22zr6h8tzualxfsqlqaygfbsn.gz',
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+ 'https://nihcc.box.com/shared/static/asi7ikud9jwnkrnkj99jnpfkjdes7l6l.gz',
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+ 'https://nihcc.box.com/shared/static/jn1b4mw4n6lnh74ovmcjb8y48h8xj07n.gz',
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+ 'https://nihcc.box.com/shared/static/tvpxmn7qyrgl0w8wfh9kqfjskv6nmm1j.gz',
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+ 'https://nihcc.box.com/shared/static/upyy3ml7qdumlgk2rfcvlb9k6gvqq2pj.gz',
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+ 'https://nihcc.box.com/shared/static/l6nilvfa9cg3s28tqv1qc1olm3gnz54p.gz',
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+ 'https://nihcc.box.com/shared/static/hhq8fkdgvcari67vfhs7ppg2w6ni4jze.gz',
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+ 'https://nihcc.box.com/shared/static/ioqwiy20ihqwyr8pf4c24eazhh281pbu.gz'
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+ ]
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+
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+ LABEL2IDX = {'No Finding': 0,
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+ 'Atelactasis': 1,
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+ 'Cardiomegaly': 2,
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+ 'Effusion': 3,
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+ 'Infiltration': 4,
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+ 'Mass': 5,
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+ 'Nodule': 6,
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+ 'Pneumonia': 7,
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+ 'Pneumothorax': 8,
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+ 'Consolidation': 9,
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+ 'Edema': 10,
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+ 'Emphysema': 11,
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+ 'Fibrosis': 12,
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+ 'Pleural_Thickening': 13,
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+ 'Hernia': 14}
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+
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+ class XChest(datasets.GeneratorBasedBuilder):
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+ """NIH Image Chest X-ray dataset."""
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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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+ "image_file_path": datasets.Value("string"),
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+ "image": datasets.Image(),
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+ "labels": datasets.features.ClassLabel(names=_NAMES),
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+ }
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+ ),
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+ supervised_keys=("image", "labels"),
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ task_templates=[ImageClassification(image_column="image",
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+ label_column="labels")],
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+ )
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+
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+
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+
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+