Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -1,22 +1,30 @@
 ---
-paperswithcode_id: null
 pretty_name: TinyShakespeare
 dataset_info:
   features:
   - name: text
     dtype: string
   splits:
-  - name: test
-    num_bytes: 55780
-    num_examples: 1
   - name: train
-    num_bytes: 1003864
+    num_bytes: 1003858
     num_examples: 1
   - name: validation
-    num_bytes: 55780
+    num_bytes: 55774
+    num_examples: 1
+  - name: test
+    num_bytes: 55774
     num_examples: 1
-  download_size: 1115394
-  dataset_size: 1115424
+  download_size: 706067
+  dataset_size: 1115406
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 
 # Dataset Card for "tiny_shakespeare"

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3657411dc127ce923291c3543582228841254121e57333441f64d45652e04d5b
+size 36537

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5418159a0b1995e455ba9f03d6e2e8a7d0cf0bccba8d5589bcd6eb5dba936b0
+size 633757

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff6d2dffe1afa2e43ec0c3496ef8396e1ee3145ec6695a1e7bc8879c247b48c7
+size 35773

dataset_infos.json

@@ -1 +1,46 @@
-{"default": {"description": "40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.\n\nTo use for e.g. character modelling:\n\n```\nd = datasets.load_dataset(name='tiny_shakespeare')['train']\nd = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8'))\n# train split includes vocabulary for other splits\nvocabulary = sorted(set(next(iter(d)).numpy()))\nd = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]})\nd = d.unbatch()\nseq_len = 100\nbatch_size = 2\nd = d.batch(seq_len)\nd = d.batch(batch_size)\n```\n", "citation": "@misc{\n  author={Karpathy, Andrej},\n  title={char-rnn},\n  year={2015},\n  howpublished={\\url{https://github.com/karpathy/char-rnn}}\n}", "homepage": "https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "tiny_shakespeare", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 55780, "num_examples": 1, "dataset_name": "tiny_shakespeare"}, "train": {"name": "train", "num_bytes": 1003864, "num_examples": 1, "dataset_name": "tiny_shakespeare"}, "validation": {"name": "validation", "num_bytes": 55780, "num_examples": 1, "dataset_name": "tiny_shakespeare"}}, "download_checksums": {"https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt": {"num_bytes": 1115394, "checksum": "86c4e6aa9db7c042ec79f339dcb96d42b0075e16b8fc2e86bf0ca57e2dc565ed"}}, "download_size": 1115394, "dataset_size": 1115424, "size_in_bytes": 2230818}}
+{
+    "default": {
+        "description": "40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.\n\nTo use for e.g. character modelling:\n\n```\nd = datasets.load_dataset(name='tiny_shakespeare')['train']\nd = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8'))\n# train split includes vocabulary for other splits\nvocabulary = sorted(set(next(iter(d)).numpy()))\nd = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]})\nd = d.unbatch()\nseq_len = 100\nbatch_size = 2\nd = d.batch(seq_len)\nd = d.batch(batch_size)\n```\n",
+        "citation": "@misc{\n  author={Karpathy, Andrej},\n  title={char-rnn},\n  year={2015},\n  howpublished={\\url{https://github.com/karpathy/char-rnn}}\n}",
+        "homepage": "https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt",
+        "license": "",
+        "features": {
+            "text": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "tiny_shakespeare",
+        "dataset_name": "tiny_shakespeare",
+        "config_name": "default",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 1003858,
+                "num_examples": 1,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 55774,
+                "num_examples": 1,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 55774,
+                "num_examples": 1,
+                "dataset_name": null
+            }
+        },
+        "download_size": 706067,
+        "dataset_size": 1115406,
+        "size_in_bytes": 1821473
+    }
+}