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pipeline.yaml

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+distilabel:
+  version: 1.4.1
+pipeline:
+  name: pipeline-translate-demo
+  description: Pipeline translate demo
+  steps:
+  - step:
+      name: load_dataset
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      use_cache: true
+      batch_size: 50
+      repo_id: mteb/emotion
+      split: train
+      config: null
+      revision: null
+      streaming: false
+      num_examples: null
+      storage_options: null
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: batch_size
+        optional: true
+        description: The number of rows that will contain the batches generated by
+          the step.
+      - name: repo_id
+        optional: false
+        description: The Hugging Face Hub repository ID of the dataset to load.
+      - name: split
+        optional: true
+        description: The split of the dataset to load. Defaults to 'train'.
+      - name: config
+        optional: true
+        description: The configuration of the dataset to load. This is optional and
+          only needed if the dataset has multiple configurations.
+      - name: revision
+        optional: true
+        description: The revision of the dataset to load. Defaults to the latest revision.
+      - name: streaming
+        optional: true
+        description: Whether to load the dataset in streaming mode or not. Defaults
+          to False.
+      - name: num_examples
+        optional: true
+        description: The number of examples to load from the dataset. By default will
+          load all examples.
+      type_info:
+        module: distilabel.steps.generators.huggingface
+        name: LoadDataFromHub
+    name: load_dataset
+  - step:
+      name: translate_en2vi_demo
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: 2
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      use_cache: true
+      input_batch_size: 50
+      llm:
+        cuda_devices: auto
+        disable_cuda_device_placement: false
+        use_magpie_template: false
+        magpie_pre_query_template: null
+        generation_kwargs:
+          temperature: 0.0
+          top_p: 1.0
+          max_new_tokens: 4096
+        use_offline_batch_generation: false
+        offline_batch_generation_block_until_done: null
+        jobs_ids: null
+        model: CohereForAI/aya-23-35B
+        dtype: bfloat16
+        trust_remote_code: false
+        quantization: null
+        revision: null
+        tokenizer: CohereForAI/aya-23-35B
+        tokenizer_mode: auto
+        tokenizer_revision: null
+        skip_tokenizer_init: false
+        chat_template: null
+        seed: 0
+        extra_kwargs:
+          tensor_parallel_size: 2
+          distributed_executor_backend: ray
+          gpu_memory_utilization: 0.9
+          max_model_len: 4096
+        structured_output: null
+        type_info:
+          module: distilabel.llms.vllm
+          name: vLLM
+      group_generations: false
+      add_raw_output: true
+      add_raw_input: true
+      num_generations: 1
+      use_default_structured_output: false
+      system_prompt: You are a professional translator with a deep understanding of
+        both the English and Vietnamese languages. You possess a high level of proficiency
+        in translating between these languages, ensuring that the translation retains
+        both the meaning and cultural nuances of the original text. With a thorough
+        knowledge of grammar, syntax, and colloquialisms in both languages, you can
+        accurately and naturally translate the following from English to Vietnamese
+        while maintaining its intended tone and context. Your work is known for its
+        precision and attention to detail, making your translations clear and effective
+        for a wide audience.
+      use_system_prompt: false
+      template: 'Translate the following from English to Vietnamese:
+
+
+        {{text}}
+
+
+        TRANSLATED VERSION IN VIETNAMESE IS:
+
+        '
+      columns:
+      - text
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      - name: llm
+        runtime_parameters_info:
+        - name: cuda_devices
+          optional: true
+          description: A list with the ID of the CUDA devices to be used.
+        - name: disable_cuda_device_placement
+          optional: true
+          description: Whether to disable the CUDA device placement logic or not.
+        - name: generation_kwargs
+          description: The kwargs to be propagated to either `generate` or `agenerate`
+            methods within each `LLM`.
+          keys:
+          - name: max_new_tokens
+            optional: true
+            description: the maximum number of new tokens that the model will generate.  Defaults
+              to `128`.
+          - name: presence_penalty
+            optional: true
+            description: the presence penalty to use for the generation. Defaults
+              to  `0.0`.
+          - name: frequency_penalty
+            optional: true
+            description: the repetition penalty to use for the generation. Defaults  to
+              `0.0`.
+          - name: repetition_penalty
+            optional: true
+            description: the repetition penalty to use for the generation Defaults
+              to  `1.0`.
+          - name: temperature
+            optional: true
+            description: the temperature to use for the generation. Defaults to `0.1`.
+          - name: top_p
+            optional: true
+            description: the top-p value to use for the generation. Defaults to `1.0`.
+          - name: top_k
+            optional: true
+            description: the top-k value to use for the generation. Defaults to `0`.
+          - name: min_p
+            optional: true
+            description: the minimum probability to use for the generation. Defaults
+              to `0.0`.
+          - name: stop
+            optional: true
+            description: a list of strings that will be used to stop the generation
+              when found.  Defaults to `None`.
+          - name: stop_token_ids
+            optional: true
+            description: a list of token ids that will be used to stop the generation  when
+              found. Defaults to `None`.
+          - name: include_stop_str_in_output
+            optional: true
+            description: whether to include the stop string in the output.  Defaults
+              to `False`.
+          - name: logits_processors
+            optional: true
+            description: a list of functions to process the logits before sampling.  Defaults
+              to `None`.
+          - name: extra_sampling_params
+            optional: true
+            description: dictionary with additional arguments to be passed to  the
+              `SamplingParams` class from `vllm`.
+        - name: use_offline_batch_generation
+          optional: true
+          description: Whether to use the `offline_batch_generate` method to generate
+            the responses.
+        - name: offline_batch_generation_block_until_done
+          optional: true
+          description: If provided, then polling will be done until the `ofline_batch_generate`
+            method is able to retrieve the results. The value indicate the time to
+            wait between each polling.
+        - name: extra_kwargs
+          optional: true
+          description: 'Additional dictionary of keyword arguments that will be passed
+            to the `vLLM` class of `vllm` library. See all the supported arguments
+            at: https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/llm.py'
+        - name: structured_output
+          optional: true
+          description: The structured output format to use across all the generations.
+      - name: add_raw_output
+        optional: true
+        description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary output column
+      - name: add_raw_input
+        optional: true
+        description: Whether to include the raw input of the LLM in the key `raw_input_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary column
+      - name: num_generations
+        optional: true
+        description: The number of generations to be produced per input.
+      type_info:
+        module: __main__
+        name: TranslateText
+    name: translate_en2vi_demo
+  - step:
+      name: rename_columns
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      use_cache: true
+      input_batch_size: 50
+      columns_map:
+        text: og_text
+        label: label
+        label_text: label_text
+        vietnamese_version: text
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      type_info:
+        module: __main__
+        name: RenameColumns
+    name: rename_columns
+  - step:
+      name: keep_columns
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      use_cache: true
+      input_batch_size: 50
+      columns:
+      - text
+      - label
+      - label_text
+      - og_text
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - 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.columns.keep
+        name: KeepColumns
+    name: keep_columns
+  connections:
+  - from: load_dataset
+    to:
+    - translate_en2vi_demo
+  - from: translate_en2vi_demo
+    to:
+    - rename_columns
+  - from: rename_columns
+    to:
+    - keep_columns
+  - from: keep_columns
+    to: []
+  routing_batch_functions: []
+  type_info:
+    module: distilabel.pipeline.local
+    name: Pipeline
+requirements: []