metadata
configs:
- config_name: default
data_files:
- split: train
path: data/*.jsonl
SLM Synthetic SFT — code_expression_result
Summary
Synthetic supervised fine-tuning dataset containing prompt-response conversations for code_expression_result.
Dataset
- Dataset type:
supervised fine-tuning - Total rows:
28572 - Signal:
code_expression_result - Language: English
Signal Metadata
- Category:
code_expression_evaluation - Difficulty:
2 - Template family:
python_expression_result - Eval family:
code_expression_result
Schema
{
"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.