class_docstr: GAP is a gender-balanced dataset.
  
  It contains 8,908 coreference-labeled pairs
  of (ambiguous pronoun, antecedent name), sampled from Wikipedia.
class_docstr_tok: ["GAP","is","a","gender-balanced","dataset",".","It","contains","8,908","coreference-labeled","pairs","of","(","ambiguous","pronoun",",","antecedent","name",")",",","sampled","from","Wikipedia","."]
docstr: Yields examples.
docstr_tok: ["Yields","examples","."]
code: def _generate_examples(self, filepath):
      """Yields examples."""
      with epath.Path(filepath).open() as tsvfile:
          reader = csv.DictReader(tsvfile, dialect="excel-tab")
          for i, row in enumerate(reader):
              row["A-coref"] = bool_utils.parse_bool(row["A-coref"])
              row["B-coref"] = bool_utils.parse_bool(row["B-coref"])
              yield i, row
  
file_path: datasets/tensorflow_datasets/text/gap.py
imports: from __future__ import annotations
  import csv
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils import bool_utils
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the Gap obj's underlying member method code with example usage: obj._generate_examples(filepath) without return types