Add wnli data files

README.md

@@ -332,17 +332,17 @@ dataset_info:
   - name: idx
     dtype: int32
   splits:
-  - name: test
-    num_bytes: 37992
-    num_examples: 146
   - name: train
-    num_bytes: 107517
+    num_bytes: 107109
     num_examples: 635
   - name: validation
-    num_bytes: 12215
+    num_bytes: 12162
     num_examples: 71
-  download_size: 28999
-  dataset_size: 157724
+  - name: test
+    num_bytes: 37889
+    num_examples: 146
+  download_size: 63522
+  dataset_size: 157160
 configs:
 - config_name: cola
   data_files:
@@ -424,6 +424,14 @@ configs:
     path: stsb/validation-*
   - split: test
     path: stsb/test-*
+- config_name: wnli
+  data_files:
+  - split: train
+    path: wnli/train-*
+  - split: validation
+    path: wnli/validation-*
+  - split: test
+    path: wnli/test-*
 train-eval-index:
 - config: cola
   task: text-classification

dataset_infos.json

@@ -593,39 +593,32 @@
     },
     "wnli": {
         "description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
-        "citation": "@inproceedings{levesque2012winograd,\n  title={The winograd schema challenge},\n  author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n  booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n  year={2012}\n}\n@inproceedings{wang2019glue,\n  title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n  author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n  note={In the Proceedings of ICLR.},\n  year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.",
+        "citation": "@inproceedings{levesque2012winograd,\n  title={The winograd schema challenge},\n  author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n  booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n  year={2012}\n}\n@inproceedings{wang2019glue,\n  title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n  author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n  note={In the Proceedings of ICLR.},\n  year={2019}\n}\n",
         "homepage": "https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
         "license": "",
         "features": {
             "sentence1": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "sentence2": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "not_entailment",
                     "entailment"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             },
             "idx": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
         "builder_name": "glue",
+        "dataset_name": "glue",
         "config_name": "wnli",
         "version": {
             "version_str": "1.0.0",
@@ -635,35 +628,28 @@
             "patch": 0
         },
         "splits": {
-            "test": {
-                "name": "test",
-                "num_bytes": 37992,
-                "num_examples": 146,
-                "dataset_name": "glue"
-            },
             "train": {
                 "name": "train",
-                "num_bytes": 107517,
+                "num_bytes": 107109,
                 "num_examples": 635,
-                "dataset_name": "glue"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 12215,
+                "num_bytes": 12162,
                 "num_examples": 71,
-                "dataset_name": "glue"
-            }
-        },
-        "download_checksums": {
-            "https://dl.fbaipublicfiles.com/glue/data/WNLI.zip": {
-                "num_bytes": 28999,
-                "checksum": "ae0e8e4d16f4d46d4a0a566ec7ecceccfd3fbfaa4a7a4b4e02848c0f2561ac46"
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 37889,
+                "num_examples": 146,
+                "dataset_name": null
             }
         },
-        "download_size": 28999,
-        "post_processing_size": null,
-        "dataset_size": 157724,
-        "size_in_bytes": 186723
+        "download_size": 63522,
+        "dataset_size": 157160,
+        "size_in_bytes": 220682
     },
     "ax": {
         "description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",

wnli/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 13620

wnli/train-00000-of-00001.parquet

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+oid sha256:40f4c0c60db68addeda8e9cbe25e6344cd99d5bbb80125535994a9a3141ee0a9
+size 38835

wnli/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:880037e45e03df868d5799ca21dc03f3a6378f0adf3c01c7bfc46b94fa61f1cb
+size 11067