class_docstr: Regression task aimed to predict the burned area of forest fires.
class_docstr_tok: ["Regression","task","aimed","to","predict","the","burned","area","of","forest","fires","."]
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "area": np.float32,
                  "features": {
                      name: dtype for name, dtype in features().items()
                  },
              }
          ),
          supervised_keys=("area", "features"),
          homepage="https://archive.ics.uci.edu/ml/datasets/Forest+Fires",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/structured/forest_fires.py
imports: from __future__ import annotations
  import collections
  import csv
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the ForestFires obj's underlying member method code with example usage: obj._info() and returns: tfds