Synthetic Data Kit download for Linux

This is the Linux app named Synthetic Data Kit whose latest release can be downloaded as synthetic-data-kitsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

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DESCRIPTION:

Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data prep” bottleneck by turning dataset creation into a repeatable pipeline rather than ad-hoc notebooks. It supports generation of rationales/chain-of-thought variants, configurable sampling, and guardrails so outputs meet format constraints and quality checks. Examples and guides show how to target task-specific behaviors like tool use or step-by-step reasoning, then save directly into training-ready files.

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• Four-stage CLI pipeline from ingest to export
• Generation of QA pairs and reasoning traces
• Configurable prompting, sampling, and filters
• Training-ready output formats for fine-tuning
• Quality checks and schema validation
• Examples targeting task-specific reasoning

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Python

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This is an application that can also be fetched from https://sourceforge.net/projects/synthetic-data-kit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.