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: Yields examples.
docstr_tok: ["Yields","examples","."]
code: def _generate_examples(self, file_path):
      """Yields examples."""
      with epath.Path(file_path).open() as f:
          raw_data = csv.DictReader(f)
          for i, row in enumerate(raw_data):
              yield i, {
                  "area": row.pop("area"),
                  "features": {
                      name: value for name, value in row.items()
                  },
              }
  
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 3 for calling the ForestFires obj's underlying member method code with example usage: obj._generate_examples(file_path) without return types