tensorflow/models · error · ValueError

Task not found: %s

Error message

Task not found: %s

What it means

Error "Task not found: %s" thrown in tensorflow/models.

Source

Thrown at official/nlp/data/create_finetuning_data.py:272

        "xtreme-paws-x":
            functools.partial(
                classifier_data_lib.XtremePawsxProcessor,
                translated_data_dir=FLAGS.translated_input_data_dir,
                only_use_en_dev=FLAGS.only_use_en_dev),
        "ax-g":
            classifier_data_lib.AXgProcessor,
        "superglue-rte":
            classifier_data_lib.SuperGLUERTEProcessor,
        "cb":
            classifier_data_lib.CBProcessor,
        "boolq":
            classifier_data_lib.BoolQProcessor,
        "wic":
            classifier_data_lib.WnliProcessor,
    }
    task_name = FLAGS.classification_task_name.lower()
    if task_name not in processors:
      raise ValueError("Task not found: %s" % (task_name,))

    processor = processors[task_name](process_text_fn=processor_text_fn)
    return classifier_data_lib.generate_tf_record_from_data_file(
        processor,
        FLAGS.input_data_dir,
        tokenizer,
        train_data_output_path=FLAGS.train_data_output_path,
        eval_data_output_path=FLAGS.eval_data_output_path,
        test_data_output_path=FLAGS.test_data_output_path,
        max_seq_length=FLAGS.max_seq_length)


def generate_regression_dataset():
  """Generates regression dataset and returns input meta data."""
  if FLAGS.tokenization == "WordPiece":
    tokenizer = tokenization.FullTokenizer(
        vocab_file=FLAGS.vocab_file, do_lower_case=FLAGS.do_lower_case)
    processor_text_fn = tokenization.convert_to_unicode

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/data/create_finetuning_data.py:272 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/b7b37172f9f46565. Report an issue: GitHub.