pipeline.yaml

distilabel:
  version: 1.2.4
pipeline:
  name: id-faker-pipeline
  description: A simple pipeline to generate unique IDs with Faker
  steps:
  - step:
      name: load_data_from_dicts_0
      input_mappings: {}
      output_mappings: {}
      batch_size: 5
      data:
        '0':
          column_name: uplift_loan_id
          id_faker_arguments:
            type: id
            args:
              text: '############'
        '1':
          column_name: uplift_account_id
          id_faker_arguments:
            type: id
            args:
              text: ?############
              letters: ABCDEFGHIJKLMNOPQRSTUVWXYZ
        '2':
          column_name: ssn9
          id_faker_arguments:
            type: ssn
            args: {}
        '3':
          column_name: uuid
          id_faker_arguments:
            type: uuid
            args: {}
      runtime_parameters_info:
      - name: batch_size
        optional: true
        description: The number of rows that will contain the batches generated by
          the step.
      type_info:
        module: distilabel.steps.generators.data
        name: LoadDataFromDicts
    name: load_data_from_dicts_0
  - step:
      name: fake_unique_id_0
      input_mappings: {}
      output_mappings: {}
      input_batch_size: 50
      num_examples: 50
      runtime_parameters_info:
      - name: input_batch_size
        optional: true
        description: The number of rows that will contain the batches processed by
          the step.
      - name: num_examples
        optional: true
        description: The number of examples to generate
      type_info:
        module: __main__
        name: FakeUniqueId
    name: fake_unique_id_0
  connections:
  - from: load_data_from_dicts_0
    to:
    - fake_unique_id_0
  - from: fake_unique_id_0
    to: []
  routing_batch_functions: []
  type_info:
    module: distilabel.pipeline.local
    name: Pipeline