---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/*.jsonl
---

# SLM Synthetic SFT — code_explanation_no_code

## Summary

Synthetic supervised fine-tuning dataset containing prompt-response conversations for `code_explanation_no_code`.

## Dataset

- Dataset type: `supervised fine-tuning`
- Total rows: `28572`
- Signal: `code_explanation_no_code`
- Language: English

## Signal Metadata

- Category: `general_instruction_following`
- Difficulty: `2`
- Template family: `code_explanation_plain_text`
- Eval family: `code_explanation_no_code`

## Schema

```json
{
  "id": "string",
  "messages": [
    {"role": "user", "content": "string"},
    {"role": "assistant", "content": "string"}
  ],
  "metadata": {
    "category": "string",
    "difficulty": 1,
    "template_family": "string",
    "eval_family": "string"
  }
}
```

## Intended Use

Use this dataset for supervised fine-tuning experiments targeting this signal.

## Limitations

This dataset is synthetic. Inspect samples before training and do not use it as an evaluation benchmark.