class_docstr: DatasetBuilder for BeeDataset dataset.
class_docstr_tok: ["DatasetBuilder","for","BeeDataset","dataset","."]
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      t_shape = (
          self.builder_config.height,
          self.builder_config.width,
          self.builder_config.depth,
      )
      features = tfds.features.FeaturesDict(
          {
              "input": tfds.features.Image(shape=t_shape),
              "output": {
                  "varroa_output": np.float64,
                  "pollen_output": np.float64,
                  "wasps_output": np.float64,
                  "cooling_output": np.float64,
              },
          }
      )
  
      return self.dataset_info_from_configs(
          features=features,
          supervised_keys=("input", "output"),
          homepage="https://raspbee.de",
      )
  
file_path: datasets/tensorflow_datasets/datasets/bee_dataset/bee_dataset_dataset_builder.py
imports: from __future__ import annotations
  import json
  import random
  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