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Update DPO family dataset: code_generation_function
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metadata
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.jsonl

SLM Synthetic DPO — code_generation_function

Summary

Synthetic preference-pair dataset containing chosen and rejected assistant responses for code_generation_function.

Dataset

  • Dataset type: preference optimization
  • Total pairs: 6429
  • Signal: code_generation_function
  • Language: English

Signal Metadata

  • Category: code_generation
  • Difficulty: 2
  • Template family: python_function_code_only
  • Eval family: code_generation_function

Schema

{
  "id": "string",
  "prompt": [
    {"role": "user", "content": "string"}
  ],
  "chosen": [
    {"role": "assistant", "content": "string"}
  ],
  "rejected": [
    {"role": "assistant", "content": "string"}
  ],
  "metadata": {
    "category": "string",
    "difficulty": 1,
    "template_family": "string",
    "eval_family": "string",
    "failure_mode": "string"
  }
}

Intended Use

Use this dataset for DPO-style preference optimization experiments targeting this signal.

Limitations

This dataset is synthetic and encodes targeted preference behavior. Inspect chosen/rejected pairs before training.