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operators:
- id: hf_source_taco
  config:
    type: hf_source
    dataset: mlfoundations-dev/bespokelabs-sky-t1-taco-rejection-sampled
    split: train
- id: hf_source_leetcode
  config:
    type: hf_source
    dataset: Asap7772/leetcode-rosetta-processed-with-test-cases
    split: train
- id: rename_task_column_leetcode
  config:
    type: function
    function: data_strategies.commons.force_rename_columns
    function_config:
      column_maps:
        content: question
  input_ids:
  -  hf_source_leetcode

- id: hf_source_bad_seed_code_reflect
  config:
    type: load_preexisting
    framework_name: reflection
- id: hf_source_bad_seed_code_octo
  config:
    type: load_preexisting
    framework_name: octopack_sft
- id: rename_task_column
  config:
    type: function
    function: data_strategies.commons.force_rename_columns
    function_config:
      column_maps:
        instruction_seed: question
  input_ids:
  - hf_source_bad_seed_code_octo
  - hf_source_bad_seed_code_reflect

- id: calc_embeddings_positive
  config:
    type: gpu_function
    num_gpus: 1
    num_shards: 1
    sharded: true
    function: data_strategies.commons.calc_sentence_transformers_embedding
    function_config:
      text_column: question
      model_name: intfloat/multilingual-e5-large-instruct
  input_ids:
    - rename_task_column_leetcode
    - hf_source_taco

- id: force_merge_shards_positive
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 1_000_000
  input_ids:
  - calc_embeddings_positive

- id: calc_embeddings_negative
  config:
    type: gpu_function
    num_gpus: 1
    num_shards: 1
    sharded: true
    function: data_strategies.commons.calc_sentence_transformers_embedding
    function_config:
      text_column: question
      model_name: intfloat/multilingual-e5-large-instruct
  input_ids:
    - rename_task_column

- id: force_merge_shards_negative
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 1_000_000
  input_ids:
  - calc_embeddings_negative

- id: seed_code_load_in
  config:
    type: load_preexisting
    framework_name: seed_code_load_in

- id: get_glaive
  config:
    type: function
    function: data_strategies.commons.select_rows
    function_config:
      conditions:
        source: "glaive"
  input_ids:
    - seed_code_load_in
- id: calc_embeddings_glaive
  config:
    type: gpu_function
    num_gpus: 1
    num_shards: 8
    sharded: true
    function: data_strategies.commons.calc_sentence_transformers_embedding
    function_config:
      text_column: instruction_seed
      model_name: intfloat/multilingual-e5-large-instruct
  input_ids:
    - get_glaive

- id: force_merge_shards_actual
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 1_000_000
  input_ids:
  - calc_embeddings_glaive
- id: calc_embedding_difference_glaive
  config:
    type: high_memory_function
    memory: 300
    function: data_strategies.InstructionFiltering.EmbeddingFilter.utils.calc_embedding_score_mean
    function_config:
      embedding_column: embeddings
      positive_embedding_column: embeddings
      negative_embedding_column: embeddings
    input_dataset_map:
      dataset: force_merge_shards_actual
      negative_dataset: force_merge_shards_negative
      positive_dataset: force_merge_shards_positive
  input_ids:
    - force_merge_shards_actual
    - force_merge_shards_negative
    - force_merge_shards_positive
- id: select_to_be_used_glaive
  config:
    type: function
    function: data_strategies.InstructionFiltering.AskLLM.utils.filter_rank
    function_config:
      top_percentage: 0.10
      rating_column: difference_score
  input_ids:
    - calc_embedding_difference_glaive
- id: sample_dataset_glaive
  config:
    type: function
    function: data_strategies.commons.uniform_sample_fixed
    function_config:
      num_samples: 4_000
  input_ids:
  - select_to_be_used_glaive