Add sst2 data files

README.md

@@ -284,17 +284,17 @@ dataset_info:
   - name: idx
     dtype: int32
   splits:
-  - name: test
-    num_bytes: 217556
-    num_examples: 1821
   - name: train
-    num_bytes: 4715283
+    num_bytes: 4681603
     num_examples: 67349
   - name: validation
-    num_bytes: 106692
+    num_bytes: 106252
     num_examples: 872
-  download_size: 7439277
-  dataset_size: 5039531
+  - name: test
+    num_bytes: 216640
+    num_examples: 1821
+  download_size: 3331080
+  dataset_size: 5004495
 - config_name: stsb
   features:
   - name: sentence1
@@ -352,6 +352,14 @@ configs:
     path: cola/validation-*
   - split: test
     path: cola/test-*
+- config_name: sst2
+  data_files:
+  - split: train
+    path: sst2/train-*
+  - split: validation
+    path: sst2/validation-*
+  - split: test
+    path: sst2/test-*
 train-eval-index:
 - config: cola
   task: text-classification

dataset_infos.json

@@ -57,34 +57,28 @@
     },
     "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",
+        "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",
+        "homepage": "https://datasets.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",
+        "dataset_name": "glue",
         "config_name": "sst2",
         "version": {
             "version_str": "1.0.0",
@@ -94,35 +88,28 @@
             "patch": 0
         },
         "splits": {
-            "test": {
-                "name": "test",
-                "num_bytes": 217556,
-                "num_examples": 1821,
-                "dataset_name": "glue"
-            },
             "train": {
                 "name": "train",
-                "num_bytes": 4715283,
+                "num_bytes": 4681603,
                 "num_examples": 67349,
-                "dataset_name": "glue"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 106692,
+                "num_bytes": 106252,
                 "num_examples": 872,
-                "dataset_name": "glue"
-            }
-        },
-        "download_checksums": {
-            "https://dl.fbaipublicfiles.com/glue/data/SST-2.zip": {
-                "num_bytes": 7439277,
-                "checksum": "d67e16fb55739c1b32cdce9877596db1c127dc322d93c082281f64057c16deaa"
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 216640,
+                "num_examples": 1821,
+                "dataset_name": null
             }
         },
-        "download_size": 7439277,
-        "post_processing_size": null,
-        "dataset_size": 5039531,
-        "size_in_bytes": 12478808
+        "download_size": 3331080,
+        "dataset_size": 5004495,
+        "size_in_bytes": 8335575
     },
     "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",

sst2/test-00000-of-00001.parquet

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+size 147793

sst2/train-00000-of-00001.parquet

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+oid sha256:66a253e67968acfabcbe49dbe9da964b42ac1c851c40ab760e8c8942efdb3229
+size 3110468

sst2/validation-00000-of-00001.parquet

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+oid sha256:a1371f3b3a7b0bcefa8388799a9359dc3ce76c349cc0079507a7991364fd2a9b
+size 72819