Create awesome-stuff.py

awesome-stuff.py

@@ -0,0 +1,61 @@
+import datasets
+
+
+class AwesomeStuff(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="first", version=VERSION, description="This part of my dataset covers a first domain"),
+        datasets.BuilderConfig(name="second", version=VERSION, description="This part of my dataset covers a second domain"),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "number": datasets.Value("int"),
+                "string": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description="_DESC",
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
+            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
+            # supervised_keys=("sentence", "label"),
+            # Homepage of the dataset for documentation
+            homepage="_HOMEPAGE",
+            # License for the dataset if available
+            license="_LICENSE",
+            # Citation for the dataset
+            citation="_CITATION",
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "split": "test"
+                },
+            ),
+        ]
+
+    def _generate_examples(self, split):
+        if self.config.name == "first":
+            n_max = 10000 if split == "train" else 100
+        else:
+            n_max = 7000 if split == "train" else 200            
+        for i in range(10000):
+            yield {
+                "number": i,
+                "string": f"{self.config.name}_{split}",
+            }