Update dates

README.md

@@ -19,9 +19,9 @@ A continuously developed, **openly-licensed**, human-text Polish corpus — a Po
 edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
 family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271)).
 
-> **v0.2.2 stable** · 2,510,154 documents · **6.28B tokens**
-> (tiktoken proxy; canonical Llama-3 count at release) · 13 sources
-> Updated: **2026-07-17**
+> **v0.2.1 stable** · 2,491,773 documents · **6.28B tokens**
+> (tiktoken proxy; canonical Llama-3 count at release) · 12 sources
+> Updated: **2026-07-02**
 
 > **v0.3.0-preview validation release** · live source-gate validation for
 > SpeakLeash shards and direct Europeana candidate data, plus the quality/diversity
@@ -38,9 +38,8 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `v0.2.2` | stable release | 2,510,154 | 6.28B | 13-source stable corpus; adds `nkjp1m` (manually annotated NKJP 1M-word subcorpus, CC-BY) with per-document `license` and `author` metadata. |
-| `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source stable corpus with `license` and `author` metadata columns; adds `1000_novels`. |
-| `v0.2.0` | earlier stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
+| `v0.2.1` | stable release | 2,491,773 | 6.28B | 12-source stable corpus with `license` and `author` metadata columns; adds `1000_novels`. |
+| `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
 | `v0.3.0-preview` | validation release, candidate-only | candidate-only | TBD | Live source gates validated; Biblioteka Nauki, Europeana, and HPLT/Common Corpus expansion remain subject to per-source QA, dedup, and legal review. |
 | `v0.3.1-preview` | reproducible Europeana shard | 810 | 140,042 | 1,000 direct API records sampled; 810 passed short/language/OCR gates, with per-record rights and author metadata. |
 
@@ -94,8 +93,7 @@ as the redistributing aggregator; this release does not claim ownership of them
 | [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC-BY-SA-3.0` | 13,645 | 17.1M |
 | [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC-BY-SA-3.0` | 9,112 | 15.6M |
 | [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC-BY-2.5` | 24,386 | 12.1M |
-| [nkjp1m](data/nkjp1m/nkjp1m.md) | National Corpus of Polish - manually annotated 1M-word subcorpus (NKJP, IPI PAN) | `CC-BY-4.0` | 18,381 | 2.6M |
-| **total** | | | **2,510,154** | **6,284.5M** |
+| **total** | | | **2,491,773** | **6,281.9M** |
 
 ## Method
 Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
@@ -216,11 +214,7 @@ python3 src/make_docs.py
 
 Raw counts and token-normalized shares are regenerated from the current parquet files with `src/pattern_frequency_report.py`.
 
-> Note: the phrase-frequency tables and figures below still reflect the 12
-> v0.2.1 sources and do not yet include `nkjp1m`. Re-run
-> `src/pattern_frequency_report.py` to refresh them against the full v0.2.2 set.
-
-- Total token count (tiktoken proxy): **6,281,911,234** (12 sources; excludes `nkjp1m`)
+- Total token count (tiktoken proxy): **6,281,911,234**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
@@ -357,4 +351,4 @@ Raw counts and token-normalized shares are regenerated from the current parquet
 ![rozporządzenie by source](artifacts/pattern_frequency_rozporządzenie.png)
 ![w pobliżu by source](artifacts/pattern_frequency_w_pobliżu.png)
 ![mieszkańców by source](artifacts/pattern_frequency_mieszkańców.png)
-![Dz.U. by source](artifacts/pattern_frequency_dzu.png)
+![Dz.U. by source](artifacts/pattern_frequency_dzu.png)

data/nkjp1m/nkjp1m.md

@@ -39,4 +39,4 @@ Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
 - OCR alpha-ratio < 0.70 (OCR sources only): **0**
 - read 18,484 → kept 18,381
 
-Token counts are tiktoken cl100k.
+Token counts are a fast tiktoken (cl100k) proxy.