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 - step: name: expand_columns_0 input_mappings: {} output_mappings: {} input_batch_size: 50 columns: column_content: column_content runtime_parameters_info: - name: input_batch_size optional: true description: The number of rows that will contain the batches processed by the step. type_info: module: distilabel.steps.expand name: ExpandColumns name: expand_columns_0 connections: - from: load_data_from_dicts_0 to: - fake_unique_id_0 - from: fake_unique_id_0 to: - expand_columns_0 - from: expand_columns_0 to: [] routing_batch_functions: [] type_info: module: distilabel.pipeline.local name: Pipeline