Add adv_sst2 data files

README.md

@@ -146,10 +146,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: validation
-    num_bytes: 16595
+    num_bytes: 16572
     num_examples: 148
-  download_size: 40662
-  dataset_size: 16595
+  download_size: 10833
+  dataset_size: 16572
 configs:
 - config_name: adv_mnli
   data_files:
@@ -171,6 +171,10 @@ configs:
   data_files:
   - split: validation
     path: adv_rte/validation-*
+- config_name: adv_sst2
+  data_files:
+  - split: validation
+    path: adv_sst2/validation-*
 ---
 
 # Dataset Card for Adversarial GLUE

adv_sst2/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e06cc9a2ecdd5cee621d7ec0558e3114a8565c7429d4eb4eacd8e758fff158c
+size 10833

dataset_infos.json

@@ -7,32 +7,25 @@
         "features": {
             "sentence": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "negative",
                     "positive"
                 ],
-                "id": null,
                 "_type": "ClassLabel"
             },
             "idx": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
-        "builder_name": "adv_glue",
+        "builder_name": "parquet",
+        "dataset_name": "adv_glue",
         "config_name": "adv_sst2",
         "version": {
             "version_str": "1.0.0",
-            "description": "",
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -40,21 +33,14 @@
         "splits": {
             "validation": {
                 "name": "validation",
-                "num_bytes": 16595,
+                "num_bytes": 16572,
                 "num_examples": 148,
-                "dataset_name": "adv_glue"
-            }
-        },
-        "download_checksums": {
-            "https://adversarialglue.github.io/dataset/dev.zip": {
-                "num_bytes": 40662,
-                "checksum": "efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c6425dd74e5b55f2f325c9"
+                "dataset_name": null
             }
         },
-        "download_size": 40662,
-        "post_processing_size": null,
-        "dataset_size": 16595,
-        "size_in_bytes": 57257
+        "download_size": 10833,
+        "dataset_size": 16572,
+        "size_in_bytes": 27405
     },
     "adv_qqp": {
         "description": "Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark\nthat focuses on the adversarial robustness evaluation of language models. It covers five\nnatural language understanding tasks from the famous GLUE tasks and is an adversarial\nversion of GLUE benchmark.\n",