Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -23,133 +23,69 @@ task_ids:
 - text-scoring
 paperswithcode_id: glue
 pretty_name: GLUE (General Language Understanding Evaluation benchmark)
+config_names:
+- ax
+- cola
+- mnli
+- mnli_matched
+- mnli_mismatched
+- mrpc
+- qnli
+- qqp
+- rte
+- sst2
+- stsb
+- wnli
 tags:
 - qa-nli
 - coreference-nli
 - paraphrase-identification
 dataset_info:
-- config_name: cola
-  features:
-  - name: sentence
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': unacceptable
-          '1': acceptable
-  - name: idx
-    dtype: int32
-  splits:
-  - name: test
-    num_bytes: 61049
-    num_examples: 1063
-  - name: train
-    num_bytes: 489149
-    num_examples: 8551
-  - name: validation
-    num_bytes: 60850
-    num_examples: 1043
-  download_size: 376971
-  dataset_size: 611048
-- config_name: sst2
-  features:
-  - name: sentence
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': negative
-          '1': positive
-  - name: idx
-    dtype: int32
-  splits:
-  - name: test
-    num_bytes: 217556
-    num_examples: 1821
-  - name: train
-    num_bytes: 4715283
-    num_examples: 67349
-  - name: validation
-    num_bytes: 106692
-    num_examples: 872
-  download_size: 7439277
-  dataset_size: 5039531
-- config_name: mrpc
+- config_name: ax
   features:
-  - name: sentence1
+  - name: premise
     dtype: string
-  - name: sentence2
+  - name: hypothesis
     dtype: string
   - name: label
     dtype:
       class_label:
         names:
-          '0': not_equivalent
-          '1': equivalent
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   - name: idx
     dtype: int32
   splits:
   - name: test
-    num_bytes: 443498
-    num_examples: 1725
-  - name: train
-    num_bytes: 946146
-    num_examples: 3668
-  - name: validation
-    num_bytes: 106142
-    num_examples: 408
-  download_size: 1494541
-  dataset_size: 1495786
-- config_name: qqp
+    num_bytes: 238392
+    num_examples: 1104
+  download_size: 222257
+  dataset_size: 238392
+- config_name: cola
   features:
-  - name: question1
-    dtype: string
-  - name: question2
+  - name: sentence
     dtype: string
   - name: label
     dtype:
       class_label:
         names:
-          '0': not_duplicate
-          '1': duplicate
+          '0': unacceptable
+          '1': acceptable
   - name: idx
     dtype: int32
   splits:
   - name: train
-    num_bytes: 50901116
-    num_examples: 363846
+    num_bytes: 484869
+    num_examples: 8551
   - name: validation
-    num_bytes: 5653794
-    num_examples: 40430
-  - name: test
-    num_bytes: 55171431
-    num_examples: 390965
-  download_size: 41696084
-  dataset_size: 111726341
-- config_name: stsb
-  features:
-  - name: sentence1
-    dtype: string
-  - name: sentence2
-    dtype: string
-  - name: label
-    dtype: float32
-  - name: idx
-    dtype: int32
-  splits:
+    num_bytes: 60322
+    num_examples: 1043
   - name: test
-    num_bytes: 170847
-    num_examples: 1379
-  - name: train
-    num_bytes: 758394
-    num_examples: 5749
-  - name: validation
-    num_bytes: 217012
-    num_examples: 1500
-  download_size: 802872
-  dataset_size: 1146253
+    num_bytes: 60513
+    num_examples: 1063
+  download_size: 326394
+  dataset_size: 605704
 - config_name: mnli
   features:
   - name: premise
@@ -183,7 +119,7 @@ dataset_info:
     num_examples: 9832
   download_size: 312783507
   dataset_size: 82472081
-- config_name: mnli_mismatched
+- config_name: mnli_matched
   features:
   - name: premise
     dtype: string
@@ -200,14 +136,14 @@ dataset_info:
     dtype: int32
   splits:
   - name: test
-    num_bytes: 1956866
-    num_examples: 9847
+    num_bytes: 1854787
+    num_examples: 9796
   - name: validation
-    num_bytes: 1955384
-    num_examples: 9832
+    num_bytes: 1839926
+    num_examples: 9815
   download_size: 312783507
-  dataset_size: 3912250
-- config_name: mnli_matched
+  dataset_size: 3694713
+- config_name: mnli_mismatched
   features:
   - name: premise
     dtype: string
@@ -224,13 +160,39 @@ dataset_info:
     dtype: int32
   splits:
   - name: test
-    num_bytes: 1854787
-    num_examples: 9796
+    num_bytes: 1956866
+    num_examples: 9847
   - name: validation
-    num_bytes: 1839926
-    num_examples: 9815
+    num_bytes: 1955384
+    num_examples: 9832
   download_size: 312783507
-  dataset_size: 3694713
+  dataset_size: 3912250
+- config_name: mrpc
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': not_equivalent
+          '1': equivalent
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 443498
+    num_examples: 1725
+  - name: train
+    num_bytes: 946146
+    num_examples: 3668
+  - name: validation
+    num_bytes: 106142
+    num_examples: 408
+  download_size: 1494541
+  dataset_size: 1495786
 - config_name: qnli
   features:
   - name: question
@@ -257,6 +219,32 @@ dataset_info:
     num_examples: 5463
   download_size: 10627589
   dataset_size: 28426167
+- config_name: qqp
+  features:
+  - name: question1
+    dtype: string
+  - name: question2
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': not_duplicate
+          '1': duplicate
+  - name: idx
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 50901116
+    num_examples: 363846
+  - name: validation
+    num_bytes: 5653794
+    num_examples: 40430
+  - name: test
+    num_bytes: 55171431
+    num_examples: 390965
+  download_size: 41696084
+  dataset_size: 111726341
 - config_name: rte
   features:
   - name: sentence1
@@ -283,6 +271,52 @@ dataset_info:
     num_examples: 277
   download_size: 697150
   dataset_size: 1915735
+- config_name: sst2
+  features:
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': negative
+          '1': positive
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 217556
+    num_examples: 1821
+  - name: train
+    num_bytes: 4715283
+    num_examples: 67349
+  - name: validation
+    num_bytes: 106692
+    num_examples: 872
+  download_size: 7439277
+  dataset_size: 5039531
+- config_name: stsb
+  features:
+  - name: sentence1
+    dtype: string
+  - name: sentence2
+    dtype: string
+  - name: label
+    dtype: float32
+  - name: idx
+    dtype: int32
+  splits:
+  - name: test
+    num_bytes: 170847
+    num_examples: 1379
+  - name: train
+    num_bytes: 758394
+    num_examples: 5749
+  - name: validation
+    num_bytes: 217012
+    num_examples: 1500
+  download_size: 802872
+  dataset_size: 1146253
 - config_name: wnli
   features:
   - name: sentence1
@@ -309,27 +343,15 @@ dataset_info:
     num_examples: 71
   download_size: 28999
   dataset_size: 157724
-- config_name: ax
-  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: test
-    num_bytes: 238392
-    num_examples: 1104
-  download_size: 222257
-  dataset_size: 238392
+configs:
+- config_name: cola
+  data_files:
+  - split: train
+    path: cola/train-*
+  - split: validation
+    path: cola/validation-*
+  - split: test
+    path: cola/test-*
 train-eval-index:
 - config: cola
   task: text-classification
@@ -439,19 +461,6 @@ train-eval-index:
     sentence1: text1
     sentence2: text2
     label: target
-config_names:
-- ax
-- cola
-- mnli
-- mnli_matched
-- mnli_mismatched
-- mrpc
-- qnli
-- qqp
-- rte
-- sst2
-- stsb
-- wnli
 ---
 
 # Dataset Card for GLUE

cola/test-00000-of-00001.parquet

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+size 37719

cola/train-00000-of-00001.parquet

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+size 251124

cola/validation-00000-of-00001.parquet

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+oid sha256:c14b7219a7d9f9fe3dd291fd000f6623ee413805eb108c9c49578ed50873e4ba
+size 37551

dataset_infos.json

@@ -1 +1,862 @@
-{"cola": {"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{warstadt2018neural,\n  title={Neural Network Acceptability Judgments},\n  author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1805.12471},\n  year={2018}\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.", "homepage": "https://nyu-mll.github.io/CoLA/", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["unacceptable", "acceptable"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "cola", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 61049, "num_examples": 1063, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 489149, "num_examples": 8551, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 60850, "num_examples": 1043, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/CoLA.zip": {"num_bytes": 376971, "checksum": "f212fcd832b8f7b435fb991f101abf89f96b933ab400603bf198960dfc32cbff"}}, "download_size": 376971, "post_processing_size": null, "dataset_size": 611048, "size_in_bytes": 988019}, "sst2": {"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{socher2013recursive,\n  title={Recursive deep models for semantic compositionality over a sentiment treebank},\n  author={Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D and Ng, Andrew and Potts, Christopher},\n  booktitle={Proceedings of the 2013 conference on empirical methods in natural language processing},\n  pages={1631--1642},\n  year={2013}\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.", "homepage": "https://nlp.stanford.edu/sentiment/index.html", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "sst2", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 217556, "num_examples": 1821, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 4715283, "num_examples": 67349, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 106692, "num_examples": 872, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/SST-2.zip": {"num_bytes": 7439277, "checksum": "d67e16fb55739c1b32cdce9877596db1c127dc322d93c082281f64057c16deaa"}}, "download_size": 7439277, "post_processing_size": null, "dataset_size": 5039531, "size_in_bytes": 12478808}, "mrpc": {"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{dolan2005automatically,\n  title={Automatically constructing a corpus of sentential paraphrases},\n  author={Dolan, William B and Brockett, Chris},\n  booktitle={Proceedings of the Third International Workshop on Paraphrasing (IWP2005)},\n  year={2005}\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. 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