Add adv_qnli data files

README.md

@@ -88,10 +88,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: validation
-    num_bytes: 34877
+    num_bytes: 34850
     num_examples: 148
-  download_size: 40662
-  dataset_size: 34877
+  download_size: 19111
+  dataset_size: 34850
 - config_name: adv_qqp
   features:
   - name: question1
@@ -159,6 +159,10 @@ configs:
   data_files:
   - split: validation
     path: adv_mnli_mismatched/validation-*
+- config_name: adv_qnli
+  data_files:
+  - split: validation
+    path: adv_qnli/validation-*
 ---
 
 # Dataset Card for Adversarial GLUE

adv_qnli/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d52ef0ffe9ee286082ff90ff44095ae742fc7b767d2c611b5e40941543016d9f
+size 19111

dataset_infos.json

@@ -222,37 +222,29 @@
         "features": {
             "question": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "sentence": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "entailment",
                     "not_entailment"
                 ],
-                "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_qnli",
         "version": {
             "version_str": "1.0.0",
-            "description": "",
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -260,21 +252,14 @@
         "splits": {
             "validation": {
                 "name": "validation",
-                "num_bytes": 34877,
+                "num_bytes": 34850,
                 "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": 34877,
-        "size_in_bytes": 75539
+        "download_size": 19111,
+        "dataset_size": 34850,
+        "size_in_bytes": 53961
     },
     "adv_rte": {
         "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",