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Jianshu001/arabic-daily-batch01-smoke20-rewriter

Batch 01 — Smoke 20 (Gemma-as-rewriter) 20-record smoke validating the Gemma-as-rewriter cleanup architecture. Approach Any prompt given to Gemma gets echoed into its own thinking field. Instead of fighting the echo, we isolate it by using Gemma as a rewriter: Cascade-regenerate assistant turn → (thinking1, answer) Send thinking1 to Gemma with a cleanup instruction → (thinking2, answer2) Discard thinking2 (absorbs the cleanup-instruction echo) Keep answer2 as the… See the full description on the dataset page: https://huggingface.co/datasets/Jianshu001/arabic-daily-batch01-smoke20-rewriter.

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Batch 01 — Smoke 20 (Gemma-as-rewriter)

20-record smoke validating the Gemma-as-rewriter cleanup architecture.

Approach

Any prompt given to Gemma gets echoed into its own thinking field. Instead of fighting the echo, we isolate it by using Gemma as a rewriter:

  1. 1.Cascade-regenerate assistant turn → (thinking1, answer)
  2. 2.Send thinking1 to Gemma with a cleanup instruction → (thinking2, answer2)
  3. 3.Discard thinking2 (absorbs the cleanup-instruction echo)
  4. 4.Keep answer2 as the cleaned thinking

Same pattern applied to assistant text when AI self-reference is detected.

Results

MetricBaseline (v2 prose)Final (rewriter)
Thinking with system-prompt echo14.1%~2% (most residuals are regex false positives)
Text with "I am an AI"0% (with prompt) / 7.9% (without)0.0%
Failure rate0%0%

Schema

  • —User message fields: turn, role, text
  • —Assistant message fields: turn, role, thinking, text

No audit fields included — textoriginal, thinkingoriginal, rewritelog, and thinkingoriginallang are all stripped before upload.