dataset-improvement

Extract lines from JSONL files using the provided Bash script to pull a specific range for review. Run ./scripts/improve_dataset.sh with your filename, starting line, and line count to isolate sections for inspection and quality assessment.

Yes, the replace_lines script automatically backs up your original JSONL file before applying replacements. This maintains an audit trail and lets you revert changes if needed while preserving data integrity.

Extract thinking blocks from your JSONL dataset, manually review and refine them for quality and context, then replace the original lines with improved versions. Automatic validation ensures JSON syntax remains correct throughout.

The scripts include built-in JSON validation to check syntax after replacements, eliminating manual verification. This ensures your dataset remains properly formatted without requiring separate validation tools.

Yes, you can extract line ranges, craft improvements for multiple entries, and apply batch replacements line-by-line using the replace script. This enables efficient bulk editing while maintaining control over each change.

Use line extraction and replacement when you need precise control over specific records in JSONL files, particularly for refining synthetic training data thinking blocks where manual review and calibration improve quality significantly.