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","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      data = dl_manager.download(_URL)
  
      # There is no predefined train/val/test split for this dataset.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"file_path": data},
          ),
      ]
  
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 2 for calling the ForestFires obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list