sft-data-format

You validate JSON Lines formatting by checking that each row follows the convention and includes proper idx resume keys and think tags. This skill enforces consistent input/output formats and standardized metadata structures across pipeline stages before processing.

An idx resume key is a resuming key used across pipeline steps to track data position. You need it during SFT data ingestion and preprocessing to verify proper resume key handling and ensure reproducible, consistent pipeline metadata.

You document metadata schemas by producing clear schema definitions and examples for downstream components. This skill generates standardized metadata representations that clarify data formats and reduce integration errors in model-training workflows.

Yes, the validation approach works with think tags in JSONL files by enforcing consistent input/output formats and proper tag handling. It verifies that think tags and idx resume keys follow the standardized metadata structure across pipeline stages.

The best way to prevent integration errors is to run format validation before processing to confirm JSON Lines formatting, idx resume keys, and metadata are consistent. This reduces integration errors and improves reproducibility across the SFT pipeline.

SFT pipelines fail from inconsistent metadata structures because downstream components expect standardized schemas and proper idx resume key handling. Validating JSON Lines formatting and metadata consistency before processing prevents these integration errors.