moukaii commited on
Commit
7742117
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1 Parent(s): 7a300ca

Update Tuberculosis_Dataset.py

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Files changed (1) hide show
  1. Tuberculosis_Dataset.py +21 -22
Tuberculosis_Dataset.py CHANGED
@@ -1,6 +1,7 @@
1
  from datasets import DatasetBuilder, DownloadManager, DatasetInfo, Array3D, BuilderConfig, SplitGenerator, Version, Split
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  from datasets.features import Features, Value, Sequence
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  import pandas as pd
 
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  import json
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  import zipfile
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  from PIL import Image
@@ -17,20 +18,20 @@ Nievas Offidani, M. and Delrieux, C. (2023) “The MultiCaRe Dataset: A Multimod
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  class TuberculosisDataset(DatasetBuilder):
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  # Define dataset's name
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  BUILDER_CONFIGS = [
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- BuilderConfig(name="tuberculosis_dataset", version=Version("1.0.0"))
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  ]
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  def _info(self):
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  return DatasetInfo(
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  description = _DESCRIPTION,
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  features=Features({
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- "case_id": Value("string"),
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- "gender": Value("string"),
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- "age": Value("int8"),
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- "case_text": Value("string"),
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- "keywords": Value("string"),
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- "image_arrays": Sequence(Value("uint8")),
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- "caption": Value("string"),
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  }),
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  supervised_keys = None,
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  homepage = "https://zenodo.org/api/records/10079370/files-archive",
@@ -38,22 +39,20 @@ class TuberculosisDataset(DatasetBuilder):
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  )
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  def _split_generators(self, dl_manager: DownloadManager):
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- cases_csv = "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/cases.csv",
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- keywords_json = "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/article_metadata.json",
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- caption_json = "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/image_metadata.json",
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- image_filenames_json = "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/image_filenames.json",
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- images_zip = "https://github.com/zhankai-ye/tuberculosis_dataset/raw/main/images/PMC.zip",
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-
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- return {
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- "all_data": self._generate_examples(
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- cases_csv=dl_manager.download(cases_csv),
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- keywords_json=dl_manager.download(keywords_json),
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- caption_json=dl_manager.download(caption_json),
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- image_filenames_json=dl_manager.download(image_filenames_json),
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- images_zip=dl_manager.download_and_extract(images_zip)
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- )
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  }
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  def _generate_examples(self, cases_csv, keywords_json, caption_json, image_filenames_json, images_zip):
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  # Load data
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  cases_df = pd.read_csv(cases_csv)
 
1
  from datasets import DatasetBuilder, DownloadManager, DatasetInfo, Array3D, BuilderConfig, SplitGenerator, Version, Split
2
  from datasets.features import Features, Value, Sequence
3
  import pandas as pd
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+ import datasets
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  import json
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  import zipfile
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  from PIL import Image
 
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  class TuberculosisDataset(DatasetBuilder):
19
  # Define dataset's name
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  BUILDER_CONFIGS = [
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+ BuilderConfig(name="tuberculosis_dataset", version=datasets.Version("1.0.0"))
22
  ]
23
 
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  def _info(self):
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  return DatasetInfo(
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  description = _DESCRIPTION,
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  features=Features({
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+ "case_id": datasets.Value("string"),
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+ "gender": datasets.Value("string"),
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+ "age": datasets.Value("int8"),
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+ "case_text": datasets.Value("string"),
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+ "keywords": datasets.Value("string"),
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+ "image_arrays": datasets.Sequence(Value("uint8")),
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+ "caption": datasets.Value("string"),
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  }),
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  supervised_keys = None,
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  homepage = "https://zenodo.org/api/records/10079370/files-archive",
 
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  )
40
 
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  def _split_generators(self, dl_manager: DownloadManager):
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+ urls = {
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+ "cases_csv": "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/cases.csv",
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+ "keywords_json": "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/article_metadata.json",
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+ "caption_json": "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/image_metadata.json",
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+ "image_filenames_json": "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/image_filenames.json",
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+ "images_zip": "https://github.com/zhankai-ye/tuberculosis_dataset/raw/main/images/PMC.zip",
 
 
 
 
 
 
 
 
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  }
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+ downloaded_files = dl_manager.download_and_extract(urls)
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+
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=downloaded_files),
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+ ]
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+
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  def _generate_examples(self, cases_csv, keywords_json, caption_json, image_filenames_json, images_zip):
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  # Load data
58
  cases_df = pd.read_csv(cases_csv)