Add 'qnli' config data files

README.md

@@ -155,6 +155,32 @@ dataset_info:
     num_examples: 1725
   download_size: 1028112
   dataset_size: 1492132
+- config_name: qnli
+  features:
+  - name: question
+    dtype: string
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': not_entailment
+  - name: idx
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 25612443
+    num_examples: 104743
+  - name: validation
+    num_bytes: 1368304
+    num_examples: 5463
+  - name: test
+    num_bytes: 1373093
+    num_examples: 5463
+  download_size: 19190743
+  dataset_size: 28353840
 - config_name: qqp
   features:
   - name: question1
@@ -268,6 +294,14 @@ configs:
     path: mrpc/validation-*
   - split: test
     path: mrpc/test-*
+- config_name: qnli
+  data_files:
+  - split: train
+    path: qnli/train-*
+  - split: validation
+    path: qnli/validation-*
+  - split: test
+    path: qnli/test-*
 - config_name: qqp
   data_files:
   - split: train

dataset_infos.json

@@ -473,39 +473,32 @@
     },
     "qnli": {
         "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": "@article{rajpurkar2016squad,\n  title={Squad: 100,000+ questions for machine comprehension of text},\n  author={Rajpurkar, Pranav and Zhang, Jian and Lopyrev, Konstantin and Liang, Percy},\n  journal={arXiv preprint arXiv:1606.05250},\n  year={2016}\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": "@article{rajpurkar2016squad,\n  title={Squad: 100,000+ questions for machine comprehension of text},\n  author={Rajpurkar, Pranav and Zhang, Jian and Lopyrev, Konstantin and Liang, Percy},\n  journal={arXiv preprint arXiv:1606.05250},\n  year={2016}\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://rajpurkar.github.io/SQuAD-explorer/",
         "license": "",
         "features": {
             "question": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "sentence": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "entailment",
                     "not_entailment"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             },
             "idx": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": "glue",
+        "builder_name": "glue-ci",
+        "dataset_name": "glue-ci",
         "config_name": "qnli",
         "version": {
             "version_str": "1.0.0",
@@ -515,35 +508,28 @@
             "patch": 0
         },
         "splits": {
-            "test": {
-                "name": "test",
-                "num_bytes": 1376516,
-                "num_examples": 5463,
-                "dataset_name": "glue"
-            },
             "train": {
                 "name": "train",
-                "num_bytes": 25677924,
+                "num_bytes": 25612443,
                 "num_examples": 104743,
-                "dataset_name": "glue"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 1371727,
+                "num_bytes": 1368304,
                 "num_examples": 5463,
-                "dataset_name": "glue"
-            }
-        },
-        "download_checksums": {
-            "https://dl.fbaipublicfiles.com/glue/data/QNLIv2.zip": {
-                "num_bytes": 10627589,
-                "checksum": "e634e78627a29adaecd4f955359b22bf5e70f2cbd93b493f2d624138a0c0e5f5"
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 1373093,
+                "num_examples": 5463,
+                "dataset_name": null
             }
         },
-        "download_size": 10627589,
-        "post_processing_size": null,
-        "dataset_size": 28426167,
-        "size_in_bytes": 39053756
+        "download_size": 19190743,
+        "dataset_size": 28353840,
+        "size_in_bytes": 47544583
     },
     "rte": {
         "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",

qnli/test-00000-of-00001.parquet

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+size 872949

qnli/train-00000-of-00001.parquet

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+size 17449932

qnli/validation-00000-of-00001.parquet

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+size 867862