class_docstr: DatasetBuilder for smartwatch_gestures dataset.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      class_label = tfds.features.ClassLabel(
          names_file=tfds.core.tfds_path(
              "datasets/smartwatch_gestures/labels.txt"
          )
      )
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "features": tfds.features.Sequence(
                      {
                          "time_millis": np.uint64,
                          "time_nanos": np.uint64,
                          "time_event": np.uint64,
                          "accel_x": np.float64,
                          "accel_y": np.float64,
                          "accel_z": np.float64,
                      }
                  ),
                  "participant": np.uint8,
                  "attempt": np.uint8,
                  "gesture": class_label,
              }
          ),
          supervised_keys=("features", "gesture"),
          homepage="https://tev.fbk.eu/resources/smartwatch",
      )
  
file_path: datasets/tensorflow_datasets/datasets/smartwatch_gestures/smartwatch_gestures_dataset_builder.py
imports: from __future__ import annotations
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self