Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -33,16 +33,25 @@ dataset_info:
           '1': positive
   splits:
   - name: train
-    num_bytes: 4690022
+    num_bytes: 4681603
     num_examples: 67349
   - name: validation
-    num_bytes: 106361
+    num_bytes: 106252
     num_examples: 872
   - name: test
-    num_bytes: 216868
+    num_bytes: 216640
     num_examples: 1821
-  download_size: 7439277
-  dataset_size: 5013251
+  download_size: 3331058
+  dataset_size: 5004495
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for [Dataset Name]

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20d27a86c0c59acb746a41a481ebb1fc71edb72d94b5ccee7f23b9041b17adcf
+size 147787

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7921283b75a42e685f50edecb96798607ea0fcbfd0739ee8975f22c12d55f09
+size 3110458

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb00fe008f6828f86ba2beda8415a4cf5da0c884f21c5f238c87131b5aa19529
+size 72813

dataset_infos.json

@@ -1 +1,57 @@
-{"default": {"description": "The Stanford Sentiment Treebank consists of sentences from movie reviews and\nhuman annotations of their sentiment. The task is to predict the sentiment of a\ngiven sentence. We use the two-way (positive/negative) class split, and use only\nsentence-level labels.\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", "homepage": "https://nlp.stanford.edu/sentiment/", "license": "Unknown", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["negative", "positive"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "sst2", "config_name": "default", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4690022, "num_examples": 67349, "dataset_name": "sst2"}, "validation": {"name": "validation", "num_bytes": 106361, "num_examples": 872, "dataset_name": "sst2"}, "test": {"name": "test", "num_bytes": 216868, "num_examples": 1821, "dataset_name": "sst2"}}, "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": 5013251, "size_in_bytes": 12452528}}
+{
+    "default": {
+        "description": "The Stanford Sentiment Treebank consists of sentences from movie reviews and\nhuman annotations of their sentiment. The task is to predict the sentiment of a\ngiven sentence. We use the two-way (positive/negative) class split, and use only\nsentence-level labels.\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",
+        "homepage": "https://nlp.stanford.edu/sentiment/",
+        "license": "Unknown",
+        "features": {
+            "idx": {
+                "dtype": "int32",
+                "_type": "Value"
+            },
+            "sentence": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "negative",
+                    "positive"
+                ],
+                "_type": "ClassLabel"
+            }
+        },
+        "builder_name": "sst2",
+        "dataset_name": "sst2",
+        "config_name": "default",
+        "version": {
+            "version_str": "2.0.0",
+            "major": 2,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 4681603,
+                "num_examples": 67349,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 106252,
+                "num_examples": 872,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 216640,
+                "num_examples": 1821,
+                "dataset_name": null
+            }
+        },
+        "download_size": 3331058,
+        "dataset_size": 5004495,
+        "size_in_bytes": 8335553
+    }
+}