metadata
tags:
- synthetic-data
- cot-self-instruct
- reasoning
- uv-script
CoT-Self-Instruct Synthetic Data (llama.cpp generated)
This dataset contains synthetic reasoning data generated using the Chain-of-Thought Self-Instruct methodology, served locally via llama.cpp / llama-server.
Generation Details
- Source Dataset: gretelai/gretel-math-gsm8k-v1
- Generation Model: unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF:Q3_K_M
- Backend: llama.cpp (llama-server, OpenAI-compatible API)
- Task Type: reasoning
- Filter Method: none
- Generated Examples: 10
- After Filtering: 10 (100.0% acceptance rate)
- Generation Date: 2026-05-31 18:15:19 UTC
Based on the paper: "CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks" (2025), arXiv:2507.23751.