import datasets


class AwesomeStuff(datasets.GeneratorBasedBuilder):

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="first", description="This part of my dataset covers a first domain"),
        datasets.BuilderConfig(name="second", description="This part of my dataset covers a second domain"),
    ]

    def _info(self):
        features = datasets.Features(
            {
                "number": datasets.Value("int16"),
                "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(n_max):
            yield i, {
                "number": i,
                "string": f"{self.config.name}_{split}",
            }