import datasets

class HumanoidValidDatasetV3(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description="Humanoid robot training dataset version 3",
            features=datasets.Features(
                {
                    "state": datasets.Value("float32"),
                    "action": datasets.Value("float32"),
                }
            ),
            supervised_keys=None,
            license="mit",
        )

    def _split_generators(self, dl_manager):
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={},
            )
        ]

    def _generate_examples(self):
        data = [
            {"state": 1.0, "action": 1.1},
            {"state": 1.1, "action": 1.2},
            {"state": 1.2, "action": 1.3},
        ]
        for idx, item in enumerate(data):
            yield idx, item