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config/octopack_sft.yaml

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+operators:
+- id: load_hf_python
+  config:
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: python
+    trust_remote_code: True
+- id: load_hf_c++
+  config:
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: c++
+    trust_remote_code: True
+- id: load_hf_java
+  config:
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: java
+    trust_remote_code: True
+- id: load_hf_c
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: c
+- id: load_hf_c#
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: c#
+- id: load_hf_css
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: css
+- id: load_hf_javascript
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: javascript
+- id: load_hf_ruby
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: ruby
+- id: load_hf_shell
+  config:
+    trust_remote_code: True
+    type: hf_source
+    dataset: bigcode/commitpackft
+    split: train
+    subset: shell
+- id: mix_operator
+  config:
+    type: mix
+  input_ids:
+  - load_hf_python
+  - load_hf_shell
+  - load_hf_c++
+  - load_hf_java
+  - load_hf_c
+  - load_hf_c#
+  - load_hf_css
+  - load_hf_javascript
+  - load_hf_ruby
+- id: sample_dataset
+  config:
+    type: function
+    function: data_strategies.commons.uniform_sample_limited
+    function_config:
+      num_samples: 50000  # 1.25% of 10000 target from stage 1
+  input_ids:
+    - mix_operator
+- id: generate_instructions
+  config:
+    type: completions
+    map: chat
+    map_config:
+      system_message: "You are a helpful assistant."
+      user_message: |
+        You are to generate a question or task for a language model based on the following instruction and code pairs. 
+
+        Instruction: {{message}}
+        Code: {{old_contents}}
+        
+        Include only the new question and task. Do not include anything like "Here is the instruction". Include
+        the code in your question and make the task sound like what a human would ask a language model. 
+      output_column: instruction_seed
+    model: gpt-4o-mini
+    temperature: 1.0
+    batch: True
+  input_ids:
+    - sample_dataset
+- id: add_constant_column
+  config:
+    type: function
+    function: data_strategies.commons.add_constant_columns
+    function_config:
+      response_seed: ""
+  input_ids:
+  - generate_instructions
+- 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:
+  - add_constant_column
+- id: annotate
+  config:
+    type: completions
+    map: chat
+    map_config:
+      system_message: "You are a helpful assistant."
+      user_message_column: instruction_seed
+      output_column: response
+    model: gpt-4o-mini
+    temperature: 1.0
+    batch: True
+  input_ids:
+  - rename_task_column
+- id: convert_to_sharegpt
+  config:
+    type: function
+    function: data_strategies.commons.convert_instruction_response_to_sharegpt
+    function_config:
+      input_instruction_column: instruction_seed
+      input_response_column: response
+      output_sharegpt_column: conversations
+  input_ids:
+    - annotate