Update Tuberculosis_Dataset.py

Tuberculosis_Dataset.py

@@ -1,4 +1,4 @@
-from datasets import GeneratorBasedBuilder, DownloadManager, DatasetInfo, BuilderConfig, SplitGenerator, Version
+from datasets import GeneratorBasedBuilder, dl_manager, DatasetInfo, BuilderConfig, SplitGenerator, Version
 from datasets.features import Features, Value, Sequence
 import datasets
 import pandas as pd
@@ -39,7 +39,7 @@ class TuberculosisDataset(GeneratorBasedBuilder):
             citation = _CITATION,
         )
 
-    def _split_generators(self, DownloadManager):
+    def _split_generators(self, dl_manager):
         base_url = "https://raw.githubusercontent.com/zhankai-ye/tuberculosis_dataset/main/"
         urls = {
             "cases_csv": f"{base_url}cases.csv",
@@ -47,7 +47,7 @@ class TuberculosisDataset(GeneratorBasedBuilder):
             "caption_json": f"{base_url}image_metadata.json",
             "images_zip": "https://github.com/zhankai-ye/tuberculosis_dataset/raw/main/images/PMC.zip"
         }
-        downloaded_files = DownloadManager.download(urls)
+        downloaded_files = dl_manager.download_and_extract(urls)
 
         return [
             SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=downloaded_files),
@@ -77,7 +77,7 @@ class TuberculosisDataset(GeneratorBasedBuilder):
         merged_df = merged_df.where(pd.notnull(merged_df), None)
         merged_df['age'] = merged_df['age'].astype('int8')
         # Prepare images
-        image_filenames = self._prepare_images(images_zip, DownloadManager.extracted_path)
+        image_filenames = self._prepare_images(images_zip, dl_manager.extracted_path)
 
         # Yield examples with minor adjustments for image handling
         for idx, row in merged_df.iterrows():