Update Tuberculosis_Dataset.py

Tuberculosis_Dataset.py

@@ -1,7 +1,6 @@
 from datasets import DatasetBuilder, DownloadManager, DatasetInfo, Array3D, BuilderConfig, SplitGenerator, Version, Split
 from datasets.features import Features, Value, Sequence
 import pandas as pd
-import datasets
 import json
 import zipfile
 from PIL import Image
@@ -18,20 +17,20 @@ Nievas Offidani, M. and Delrieux, C. (2023) “The MultiCaRe Dataset: A Multimod
 class TuberculosisDataset(DatasetBuilder):
     # Define dataset's name
     BUILDER_CONFIGS = [
-        BuilderConfig(name="tuberculosis_dataset", version=datasets.Version("1.0.0"))
+        BuilderConfig(name="tuberculosis_dataset", version=Version("1.0.0"))
     ]
 
     def _info(self):
         return DatasetInfo(
             description = _DESCRIPTION,
             features=Features({
-                "case_id": datasets.Value("string"),
-                "gender": datasets.Value("string"),
-                "age": datasets.Value("int8"),
-                "case_text": datasets.Value("string"),
-                "keywords": datasets.Value("string"),
-                "image_arrays": datasets.Sequence(Value("uint8")),
-                "caption": datasets.Value("string"),
+                "case_id": Value("string"),
+                "gender": Value("string"),
+                "age": Value("int8"),
+                "case_text": Value("string"),
+                "keywords": Value("string"),
+                "image_arrays": Sequence(Array3D(dtype="uint8")),
+                "caption": Value("string"),
             }),
             supervised_keys = None,
             homepage = "https://zenodo.org/api/records/10079370/files-archive",
@@ -50,7 +49,7 @@ class TuberculosisDataset(DatasetBuilder):
         downloaded_files = dl_manager.download_and_extract(urls)
 
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=downloaded_files),
+            SplitGenerator(name=Split.TRAIN, gen_kwargs=downloaded_files),
         ]
 
     def _generate_examples(self, cases_csv, keywords_json, caption_json, image_filenames_json, images_zip):
@@ -99,4 +98,4 @@ class TuberculosisDataset(DatasetBuilder):
                         image_arrays[pmcid].append(img_array.tolist())
                     else:
                         image_arrays[pmcid] = [img_array.tolist()]
-        return image_arrays
+        return image_arrays