Upload events_classification_biotech.py

events_classification_biotech.py

@@ -57,6 +57,7 @@ class BiotechNews(datasets.GeneratorBasedBuilder):
                     "content": datasets.Value("string"),
                     "target organization": datasets.Value("string"),
                     "all_labels": datasets.Value("string"),
+                    "all_labels_concat": datasets.Value("string"),
                     "label 1": datasets.features.ClassLabel(names=labels),
                     "label 2": datasets.features.ClassLabel(names=labels),
                     "label 3": datasets.features.ClassLabel(names=labels),
@@ -77,18 +78,21 @@ class BiotechNews(datasets.GeneratorBasedBuilder):
 
     def get_all_labels(self, curr_labels):
          curr_labels = [lbl for lbl in curr_labels if lbl]
-         all_curr_labels = ', '.join(curr_labels)
-         return all_curr_labels
+         if not len(curr_labels):
+              curr_labels = ['other']
+         curr_labels_cat = ', '.join(curr_labels)
+         return curr_labels, curr_labels_cat
     
     def _generate_examples(self, filepath):
-            csv_reader = load_dataset('csv',data_files=filepath, split='train')
+            csv_reader = load_dataset('csv', data_files=filepath, split='train')
             for example in csv_reader:
                 id_, title, content, organization, label1, label2, label3, label4, label5 = example.values()
 
                 curr_labels = (label1, label2, label3, label4, label5)
-                all_curr_labels = self.get_all_labels(curr_labels)
+                curr_labels, curr_labels_cat = self.get_all_labels(curr_labels)
 
                 yield id_, {"title": title, "content": content, "target organization": organization,
-                             "all_labels": all_curr_labels,
+                             "all_labels": curr_labels,
+                             "all_labels_concat": curr_labels_cat,
                                 "label 1": label1, "label 2": label2, "label 3": label3, "label 4": label4,
                                     "label 5": label5}