Add adv_qqp data files

README.md

@@ -108,10 +108,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: validation
-    num_bytes: 9926
+    num_bytes: 9908
     num_examples: 78
-  download_size: 40662
-  dataset_size: 9926
+  download_size: 7705
+  dataset_size: 9908
 - config_name: adv_rte
   features:
   - name: sentence1
@@ -163,6 +163,10 @@ configs:
   data_files:
   - split: validation
     path: adv_qnli/validation-*
+- config_name: adv_qqp
+  data_files:
+  - split: validation
+    path: adv_qqp/validation-*
 ---
 
 # Dataset Card for Adversarial GLUE

adv_qqp/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f2667932727a841edce13086f65802d760101010552f594361e68afe4e002d3
+size 7705

dataset_infos.json

@@ -64,37 +64,29 @@
         "features": {
             "question1": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "question2": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "not_duplicate",
                     "duplicate"
                 ],
-                "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_qqp",
         "version": {
             "version_str": "1.0.0",
-            "description": "",
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -102,21 +94,14 @@
         "splits": {
             "validation": {
                 "name": "validation",
-                "num_bytes": 9926,
+                "num_bytes": 9908,
                 "num_examples": 78,
-                "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": 9926,
-        "size_in_bytes": 50588
+        "download_size": 7705,
+        "dataset_size": 9908,
+        "size_in_bytes": 17613
     },
     "adv_mnli": {
         "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",