operators:
- id: load_hf_python
  config:
    type: hf_source
    dataset: christopher/rosetta-code
    split: train
    trust_remote_code: True
- id: clean_up
  config:
    type: function
    function: data_strategies.SeedCodeData.utils.rosetta_map
  input_ids:
  - load_hf_python
- id: rename_task_column
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:
      - response_seed
      - instruction_seed
  input_ids:
  - clean_up
- id: sample_dataset
  config:
    type: function
    function: data_strategies.commons.uniform_sample_limited
    function_config:
      num_samples: 1_000_000  # 1.25% of 10000 target from stage 1
  input_ids:
  - rename_task_column
- id: classify
  config:
    type: fasttext
    num_cpus: 32
    hf_repo_id: mlfoundations-dev/instruction_filtering_fast_text_code_pos_leetcode_taco_neg_reflection_octopack
    input_column: instruction_seed
    target_label: "__label__QA_doc"
    top_percentage_ranking: 10
  input_ids:
   - sample_dataset
- id: keep_only
  config:
    type: function
    function: data_strategies.commons.keep_only_columns
    function_config:
      columns_to_keep:    
        - instruction_seed
  input_ids:
  - classify
- id: _add_source
  config:
    type: function
    function: data_strategies.commons.add_constant_columns
    function_config:
      source: "rosetta"
  input_ids:
  - keep_only