Convert dataset to Parquet

README.md

@@ -0,0 +1,33 @@
+---
+dataset_info:
+- config_name: first
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 55
+    num_examples: 5
+  download_size: 790
+  dataset_size: 55
+- config_name: second
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 60
+    num_examples: 5
+  download_size: 798
+  dataset_size: 60
+configs:
+- config_name: first
+  data_files:
+  - split: train
+    path: first/train-*
+  default: true
+- config_name: second
+  data_files:
+  - split: train
+    path: second/train-*
+---

first/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1b122eba35abd014d5f0228bb44e633703a0f36bdb5f2e7526f68e402e7b0e03
+size 790

second/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8ecdee301702e317ab897e234150b8fe2430411248752a47367cf9b51d18f2d
+size 798

tmp-two-configs.py

@@ -1,21 +0,0 @@
-import datasets
-
-
-class NewDataset(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="first"),
-        datasets.BuilderConfig(name="second"),
-    ]
-    DEFAULT_CONFIG_NAME = "first"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features({"text": datasets.Value("string")}),
-        )
-
-    def _split_generators(self, dl_manager):
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN)]
-
-    def _generate_examples(self):
-        for key in range(5):
-            yield key, {"text": f"{self.config.name}-{key}"}