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mkurman/synthlabs-llm-blender-mix-instruct-19k

LLM Blender Synth Reasoning Synthetic reasoning traces for the LLM Blender Mix Instruct dataset, generated with Qwen3.6-27B and Qwen3.6-35B-A3B. Each record contains a general-purpose instruction with SYNTH-style reasoning and a generated answer. Dataset Summary 19,010 records (1,490 dupes + 847 incomplete removed from 21,347 source) 19,010 reasoning turns (99.9% format compliance) Average 1,130 chars per reasoning trace Provider Provider… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/synthlabs-llm-blender-mix-instruct-19k.

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LLM Blender Synth Reasoning

Synthetic reasoning traces for the LLM Blender Mix Instruct dataset, generated with Qwen3.6-27B and Qwen3.6-35B-A3B. Each record contains a general-purpose instruction with SYNTH-style reasoning and a generated answer.

Dataset Summary

  • —19,010 records (1,490 dupes + 847 incomplete removed from 21,347 source)
  • —19,010 reasoning turns (99.9% format compliance)
  • —Average 1,130 chars per reasoning trace

Provider

ProviderModel
Local (llama.cpp)Qwen3.6-27B-Q4KM
Local (llama.cpp)Qwen3.6-35B-A3B-Q4KM

Processing

  1. 1.Deduplicated by first user message content
  2. 2.Filtered out records with incomplete/truncated assistant content (no terminal punctuation)

Data Format

python
{
    "messages": [
        {"role": "user", "content": "I want to get a tattoo..."},
        {"role": "assistant", "content": "I can help you narrow down...", "reasoning_content": "● Task: ... → ..."}
    ],
    "source": "disk:/home/mkurman/.../hpai-llm-blender",
    "source_index": 0,
    "target": "both",
    "protocol": "chat_completions",
    "model": "Qwen3.6-27B-Q4_K_M",
    "num_conversation_turns": 2,
    "num_generated_turns": 1,
    "generated_at": "2026-07-24T..."
}

Validation

CheckResult
Format compliance99.9% (18,990/19,010 turns)
Duplicates0 (after dedup)
Incomplete/truncated0 (filtered out)