Upload dataset

README.md

@@ -1,4 +1,12 @@
 ---
+language:
+- en
+license: mit
+size_categories:
+- 1K<n<10K
+task_categories:
+- token-classification
+pretty_name: CyNER
 dataset_info:
   features:
   - name: tokens
@@ -9,16 +17,16 @@ dataset_info:
     dtype: int64
   splits:
   - name: train
-    num_bytes: 3876759
+    num_bytes: 3876755
     num_examples: 7751
   - name: validation
-    num_bytes: 829405
+    num_bytes: 829403
     num_examples: 1661
   - name: test
     num_bytes: 817672
     num_examples: 1662
-  download_size: 1643196
-  dataset_size: 5523836
+  download_size: 1643123
+  dataset_size: 5523830
 configs:
 - config_name: default
   data_files:
@@ -28,14 +36,6 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
-license: mit
-task_categories:
-- token-classification
-language:
-- en
-pretty_name: CyNER
-size_categories:
-- 1K<n<10K
 ---
 # 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.

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2aeda006473b1f3d123c16b48c64206d538665d96f8d93d2139d6867946f0230
-size 1145860
+oid sha256:7c5d663609340a0923fddcbd0af07f5f35847e943470fdcc67def2cfdb52ac08
+size 1145800

data/validation-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3ce040074ac3045f83fd58648c84b333aaf7823bd0cb8e77e132e9c504f83eb
-size 251146
+oid sha256:8382e3a41f93c75bac429a037a7ba4fd1ac82f66525071f1b8cb8f14cfd04065
+size 251133