Jianshu001/arabic-daily-batch01-cascade-100-rewriter

Batch 01 — Cascade 100 (Gemma-as-rewriter)

100 records cascade-rewritten with 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.

Quality metrics (100 records, 393 assistant messages)

The residual 2.2% overall leak is in original pre-cascade messages that did not trigger any issue, so they kept their original (pre-cleanup) thinking.

Cascade stats

• —4 records where first issue was issue1 (user assistant-like greeting)
• —31 records where first issue was issue2 (assistant AI self-reference)
• —65 records where first issue was issue3 (user sycophant / summary)
• —232 assistant turns regenerated downstream of the first issue
• —163 user turns regenerated downstream

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.