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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.
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