{"record":{"id":"01342250ee2e0057","repo":"tensorflow/models","slug":"dataset-dataset-name-r-is-missing-required-input","errorCode":null,"errorMessage":"Dataset {dataset_name!r} is missing required input folder: {input_dir}","messagePattern":"Dataset (.+?) is missing required input folder: (.+?)","errorType":"exception","errorClass":"FileNotFoundError","httpStatus":null,"severity":"error","filePath":"official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/segmentation.py","lineNumber":192,"sourceCode":") -> list[tuple[str, str]]:\n  \"\"\"Validates that each dataset has the expected input layout.\n\n  Args:\n      dataset_directories: List of ``(dataset_name, dataset_path)`` tuples.\n      train_val_folder_name: Name of the train/val input subfolder.\n\n  Returns:\n      A list of ``(dataset_name, input_dir)`` tuples ready for processing.\n\n  Raises:\n      FileNotFoundError: If a dataset is missing its input folder.\n  \"\"\"\n  validated = []\n  for dataset_name, dataset_path in dataset_directories:\n    input_dir = os.path.join(dataset_path, train_val_folder_name)\n\n    if not os.path.isdir(input_dir):\n      raise FileNotFoundError(\n          f\"Dataset {dataset_name!r} is missing required input folder: \"\n          f\"{input_dir}\"\n      )\n\n    validated.append((dataset_name, input_dir))\n\n  return validated\n\n\ndef validate_classifier_output_dir(classifier_output_dir: str) -> None:\n  \"\"\"Ensures the classifier output directory does not already exist.\n\n  Args:\n      classifier_output_dir: Path to the classifier dataset directory.\n\n  Raises:\n      FileExistsError: If the classifier output directory already exists.\n  \"\"\"","sourceCodeStart":174,"sourceCodeEnd":210,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/segmentation.py#L174-L210","documentation":"Error \"Dataset {dataset_name!r} is missing required input folder: {input_dir}\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/segmentation.py:192 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}