Convert dataset to Parquet

README.md

@@ -0,0 +1,17 @@
+---
+dataset_info:
+  features:
+  - name: tweet
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 5421247
+    num_examples: 100000
+  download_size: 4146299
+  dataset_size: 5421247
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+---

TwitterAAE.py

@@ -1,50 +0,0 @@
-import datasets
-import os
-import json
-
-
-_CITATION = """
-
-"""
-
-_DESCRIPTION = """
-
-"""
-
-class Builder(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, version=datasets.Version("1.0.0"), description=_DESCRIPTION)
-            for name in ["aa", "white"]
-        ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "tweet": datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage="",
-            license="",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        test_json = dl_manager.download(os.path.join(self.config.name, "test.jsonl"))
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"path": test_json},
-            ),
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, path):
-        with open(path, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                yield key, json.loads(row)

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7713c3888fde59be11404662bf4af11354011d558c190e08ef16d8df38351540
+size 4146299