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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
```json
{
"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.
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