code: def features():
      return collections.OrderedDict(
          [
              ("X", tf.uint8),
              ("Y", tf.uint8),
              ("month", tfds.features.ClassLabel(names=_MONTHS)),
              ("day", tfds.features.ClassLabel(names=_DAYS)),
              ("FFMC", tf.float32),
              ("DMC", tf.float32),
              ("DC", tf.float32),
              ("ISI", tf.float32),
              ("temp", tf.float32),
              ("RH", tf.float32),
              ("wind", tf.float32),
              ("rain", tf.float32),
          ]
      )
  
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 a global function with example usage: features() and returns: collections