Update Tuberculosis_Dataset.py

Tuberculosis_Dataset.py

@@ -54,8 +54,28 @@ class TuberculosisDataset(GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, cases_csv, keywords_json, caption_json, images_zip):
-        # The rest of your code remains unchanged until the image handling part
+        # Load CSV
+        cases_df = pd.read_csv(cases_csv)
+        cases_df.dropna(subset=['age'], inplace=True)
 
+        # Load Keywords JSON
+        with open(keywords_json, 'r') as f:
+            keywords_json_data = json.load(f)
+        keywords = pd.json_normalize(keywords_json_data)
+        keywords['keywords'] = keywords['keywords'].apply(lambda x: ', '.join(x) if isinstance(x, list) else x)
+
+        # Load Caption JSON
+        caption_json_data = []
+        with open(caption_json, 'r') as f:
+            for line in f:
+                caption_json_data.append(json.loads(line))
+        caption = pd.json_normalize(caption_json_data)
+
+        # Merge DataFrames
+        merged_df = pd.merge(cases_df, keywords[['pmcid', 'keywords']], left_on='case_id', right_on='pmcid', how='left')
+        merged_df = pd.merge(merged_df, caption[['case_id', 'caption']], on='case_id', how='left')
+        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, dl_manager.extracted_path)