Update README.md

README.md

@@ -12,9 +12,26 @@ dataset_info:
   - name: tokens
     sequence: string
   - name: ner_tags
-    sequence: int64
-  - name: __index_level_0__
-    dtype: int64
+    sequence:
+      class_label:
+        names:
+          '0': B-Date
+          '1': B-Indicator
+          '2': B-Location
+          '3': B-Malware
+          '4': B-Organization
+          '5': B-System
+          '6': B-Threat_group
+          '7': B-Vulnerability
+          '8': I-Date
+          '9': I-Indicator
+          '10': I-Location
+          '11': I-Malware
+          '12': I-Organization
+          '13': I-System
+          '14': I-Threat_group
+          '15': I-Vulnerability
+          '16': O
   splits:
   - name: train
     num_bytes: 3773244
@@ -25,7 +42,7 @@ dataset_info:
   - name: test
     num_bytes: 797853
     num_examples: 1662
-  download_size: 1642898
+  download_size: 1642952
   dataset_size: 5381337
 configs:
 - config_name: default
@@ -36,6 +53,9 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+tags:
+- cybersecurity
+- ner
 ---
 # CyNER 2.0 Augmented Dataset
 *CyNER 2.0 Augmented Dataset* is a comprehensive dataset designed for Named Entity Recognition (NER) tasks, specifically tailored for cybersecurity-related text. This dataset combines an original cybersecurity NER dataset (bnsapa/cybersecurity-ner) with additional augmented data (taken from OPENCTI using AlienValut Connect), resulting in a robust resource for training and evaluating models on cybersecurity entity recognition.