Add 'mnli' config data files

README.md

@@ -48,6 +48,39 @@ dataset_info:
     num_examples: 1063
   download_size: 322394
   dataset_size: 605704
+- config_name: mnli
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  - name: idx
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 74619646
+    num_examples: 392702
+  - name: validation_matched
+    num_bytes: 1833783
+    num_examples: 9815
+  - name: validation_mismatched
+    num_bytes: 1949231
+    num_examples: 9832
+  - name: test_matched
+    num_bytes: 1848654
+    num_examples: 9796
+  - name: test_mismatched
+    num_bytes: 1950703
+    num_examples: 9847
+  download_size: 56899587
+  dataset_size: 82202017
 - config_name: mrpc
   features:
   - name: sentence1
@@ -155,6 +188,18 @@ configs:
     path: cola/validation-*
   - split: test
     path: cola/test-*
+- config_name: mnli
+  data_files:
+  - split: train
+    path: mnli/train-*
+  - split: validation_matched
+    path: mnli/validation_matched-*
+  - split: validation_mismatched
+    path: mnli/validation_mismatched-*
+  - split: test_matched
+    path: mnli/test_matched-*
+  - split: test_mismatched
+    path: mnli/test_mismatched-*
 - config_name: mrpc
   data_files:
   - split: train

dataset_infos.json

@@ -290,40 +290,33 @@
     },
     "mnli": {
         "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{N18-1101,\n  author = \"Williams, Adina\n            and Nangia, Nikita\n            and Bowman, Samuel\",\n  title = \"A Broad-Coverage Challenge Corpus for\n           Sentence Understanding through Inference\",\n  booktitle = \"Proceedings of the 2018 Conference of\n               the North American Chapter of the\n               Association for Computational Linguistics:\n               Human Language Technologies, Volume 1 (Long\n               Papers)\",\n  year = \"2018\",\n  publisher = \"Association for Computational Linguistics\",\n  pages = \"1112--1122\",\n  location = \"New Orleans, Louisiana\",\n  url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n  title={A large annotated corpus for learning natural language inference},\n  author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n  journal={arXiv preprint arXiv:1508.05326},\n  year={2015}\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{N18-1101,\n  author = \"Williams, Adina\n            and Nangia, Nikita\n            and Bowman, Samuel\",\n  title = \"A Broad-Coverage Challenge Corpus for\n           Sentence Understanding through Inference\",\n  booktitle = \"Proceedings of the 2018 Conference of\n               the North American Chapter of the\n               Association for Computational Linguistics:\n               Human Language Technologies, Volume 1 (Long\n               Papers)\",\n  year = \"2018\",\n  publisher = \"Association for Computational Linguistics\",\n  pages = \"1112--1122\",\n  location = \"New Orleans, Louisiana\",\n  url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n  title={A large annotated corpus for learning natural language inference},\n  author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n  journal={arXiv preprint arXiv:1508.05326},\n  year={2015}\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": "http://www.nyu.edu/projects/bowman/multinli/",
         "license": "",
         "features": {
             "premise": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 3,
                 "names": [
                     "entailment",
                     "neutral",
                     "contradiction"
                 ],
-                "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": "mnli",
         "version": {
             "version_str": "1.0.0",
@@ -333,47 +326,40 @@
             "patch": 0
         },
         "splits": {
-            "test_matched": {
-                "name": "test_matched",
-                "num_bytes": 1854787,
-                "num_examples": 9796,
-                "dataset_name": "glue"
-            },
-            "test_mismatched": {
-                "name": "test_mismatched",
-                "num_bytes": 1956866,
-                "num_examples": 9847,
-                "dataset_name": "glue"
-            },
             "train": {
                 "name": "train",
-                "num_bytes": 74865118,
+                "num_bytes": 74619646,
                 "num_examples": 392702,
-                "dataset_name": "glue"
+                "dataset_name": null
             },
             "validation_matched": {
                 "name": "validation_matched",
-                "num_bytes": 1839926,
+                "num_bytes": 1833783,
                 "num_examples": 9815,
-                "dataset_name": "glue"
+                "dataset_name": null
             },
             "validation_mismatched": {
                 "name": "validation_mismatched",
-                "num_bytes": 1955384,
+                "num_bytes": 1949231,
                 "num_examples": 9832,
-                "dataset_name": "glue"
-            }
-        },
-        "download_checksums": {
-            "https://dl.fbaipublicfiles.com/glue/data/MNLI.zip": {
-                "num_bytes": 312783507,
-                "checksum": "e7c1d896d26ed6caf700110645df426cc2d8ebf02a5ab743d5a5c68ac1c83633"
+                "dataset_name": null
+            },
+            "test_matched": {
+                "name": "test_matched",
+                "num_bytes": 1848654,
+                "num_examples": 9796,
+                "dataset_name": null
+            },
+            "test_mismatched": {
+                "name": "test_mismatched",
+                "num_bytes": 1950703,
+                "num_examples": 9847,
+                "dataset_name": null
             }
         },
-        "download_size": 312783507,
-        "post_processing_size": null,
-        "dataset_size": 82472081,
-        "size_in_bytes": 395255588
+        "download_size": 56899587,
+        "dataset_size": 82202017,
+        "size_in_bytes": 139101604
     },
     "mnli_mismatched": {
         "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",

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mnli/train-00000-of-00001.parquet

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mnli/validation_matched-00000-of-00001.parquet

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