Fix contamination denominator: 9.02%->8.83% (1662/18820, nie 18430); czyste 17158 (Wartownik/Monter, rekoncyliacja z bajtami)

README.md

@@ -89,21 +89,21 @@ All numbers from **full-corpus scans of the published artifact** (not samples),
 **Discovered after training, reported transparently (per our honesty norm).** The build-time
 eval-decontamination above (exact + word-8gram vs `llmzszl` et al., 2,632 docs removed) was
 **not sufficient** to fully remove Polish state-exam content. A deeper post-hoc re-scan
-(12-word fragment match, Aho-Corasick, full 31 GB corpus) found that **~9% of LLMzSzŁ
-questions (1,662 / 18,430) still have variants/paraphrases in the corpus** — almost entirely
+(12-word fragment match, Aho-Corasick, full 31 GB corpus) found that **~8.83% of LLMzSzŁ
+questions (1,662 / 18,820) still have variants/paraphrases in the corpus** — almost entirely
 in `web` (1,653) vs curated (9). The build-time 8-gram filter missed reworded/partial variants
 that the longer fragment match catches.
 
 **Implication:** any benchmark built on **LLMzSzŁ** — and likely other publicly-published
 Polish state exams (matura, egzamin ósmoklasisty, egzaminy zawodowe) — will be **inflated**
-for models trained on this corpus, because the model saw ~9% of the items. This is inherent to
+for models trained on this corpus, because the model saw ~8.83% of the items. This is inherent to
 web-crawl corpora: HPLT inherits public exams from the web.
 
 **Recommendation for downstream users:**
 - De-contaminate your PL-exam benchmark against this corpus **before** evaluating — use a
   long-fragment or semantic match, not just exact/8-gram.
 - For LLMzSzŁ specifically, a `contaminated_idx` (1,662 item indices) is available from the
-  build repo; exclude those items and evaluate on the ~16,768 clean.
+  build repo; exclude those items and evaluate on the ~17,158 clean.
 - Report results with an explicit note: *"de-contaminated subset, ~X% train-seen items
   excluded, fragment-based (paraphrases not eliminated 100%)."*