Complete v0.2.3 phrase-frequency report + register drifted sources + AGENTS.md

AGENTS.md

@@ -0,0 +1,74 @@
+# AGENTS.md
+
+Guidance for agents and contributors adding a source and cutting a release.
+Read this before opening a PR — several recent contributions added data but
+skipped the doc/version bump, forcing a maintainer cleanup release.
+
+## How the docs are actually maintained
+
+`src/make_docs.py` is a **scaffolding/assembly helper, not a round-trip source
+of truth.** It regenerates the README source table + release totals, `LICENSE`,
+a `CHANGELOG` stub, and *template* datasheets — but it does **not** reproduce the
+committed docs on its own:
+
+- It iterates `SOURCES` in `src/sources.py`; any source in `data/` but missing
+  from `SOURCES` is silently dropped from the table and totals.
+- It stamps every regenerated datasheet's "Added" with the single global `ADDED`
+  constant, overwriting real per-source add dates.
+- It cannot reproduce hand-written README narrative (audit notes, policy notes,
+  the phrase-frequency section).
+
+So datasheets and the README narrative are **hand/contributor-maintained**.
+Never run `make_docs.py` and commit the result blind — `git diff` first and
+restore anything it dropped or restamped.
+
+## Add a source
+
+1. Produce the artifact under `data/<key>/`:
+   - `<key>.parquet` — built by `src/build_dynaword.py` (LFS-tracked automatically).
+   - `<key>.stats.json` — doc/token/char counts (drives all totals).
+   - `<key>.md` — datasheet (see below).
+2. Add the ingestion script: `src/fetch_<key>.py` or `src/clean_<key>.py`, so the
+   source is reproducible. `build_source` (build_dynaword.py) expects a
+   `<file_key|speakleash_key>.jsonl.zst` intermediate.
+3. Register the source in `src/sources.py` (`SOURCES`) — required, or make_docs
+   never sees it. Copy an existing entry's shape: `pretty`, `license`,
+   `license_spdx`, `traceable`, `upstream`, `domain`, `created`, `is_ocr`, and the
+   `speakleash_key`/`file_key`. If the datasheet is hand-authored (rich provenance
+   or a fixed add date), add `"custom_datasheet": True` so make_docs leaves it
+   alone.
+4. Add a contract test: `src/test_<key>_contract.py` (canonical schema, non-empty
+   text, positive token counts, uniform source/license, stats-file consistency).
+   Run `python3 -m pytest src/` before committing.
+
+## Cut the release (the part that gets skipped)
+
+1. In `src/make_docs.py`: bump `VERSION` and `RELEASE_DATE`. Add a row for the new
+   version to the version table and a row for yourself to the Contributors table
+   (both are literal rows in the template).
+2. Regenerate the phrase-frequency report and charts (registry-independent — it
+   globs `data/*/*.parquet`):
+   ```bash
+   python3 src/pattern_frequency_report.py
+   ```
+   Writes `artifacts/pattern_frequency_hf_snippet.md` + 10 PNGs. Splice the tables
+   and chart embeds into the README "Results" section by hand.
+3. Update `README.md` by hand: header totals, version table, source table row,
+   Contributors row. The document/token totals must equal the sum of the
+   per-source `stats.json` files.
+4. Prepend the release notes to `CHANGELOG.md` under a new `## vX.Y.Z (date)`
+   heading. History is append-only — never rewrite earlier releases.
+
+## Do not commit
+
+`*.log` (fetch/build logs), `.DS_Store`, `src/__pycache__/`. Only `logs/` is in
+`.gitignore` — root-level logs and OS cruft are not, so check `git status`
+before staging. `*.parquet` is LFS-tracked; commit the pointer, not the blob.
+
+## Known drift / cleanup opportunities
+
+- `biblioteka_nauki`, `europeana`, `parlamint_pl` are in `SOURCES` but have no
+  `data/` shard (make_docs skips them with `! no stats`). Intentional placeholders
+  or stale — confirm before relying on `build_dynaword.py --all`.
+- The global `ADDED` datasheet stamp is a footgun: give datasheets a per-source
+  add date (or `custom_datasheet`) before making make_docs regenerate them.

README.md

@@ -283,4 +283,181 @@ python3 src/make_docs.py
 
 ## Results
 
-The corpus-level phrase-frequency recount for the 16-source v0.2.3 release is pending. The previous 15-source tables were removed to avoid presenting stale analysis as current. Release document/token totals above are summed from the validated per-source parquet statistics.
+### Corpus phrase frequency (normalized by tokens)
+
+Raw counts and token-normalized shares are regenerated from the current parquet files with `src/pattern_frequency_report.py`.
+
+- Total token count (tiktoken proxy): **6,881,277,362**
+
+| Pattern | Count | Share of all tokens |
+|---|---:|---:|
+| `w roku` | 460,249 | 0.0067% |
+| `klasyfikacji` | 134,093 | 0.0019% |
+| `ustawa` | 598,176 | 0.0087% |
+| `artykuł` | 2,096,271 | 0.0305% |
+| `parlament` | 1,216,808 | 0.0177% |
+| `rozporządzenie` | 1,497,273 | 0.0218% |
+| `w pobliżu` | 89,774 | 0.0013% |
+| `mieszkańców` | 288,911 | 0.0042% |
+| `Dz.U.` | 944,565 | 0.0137% |
+
+### Per-source shares
+
+| source | pattern | count | share of source tokens |
+|---|---|---:|---:|
+| `1000_novels` | `w roku` | 659 | 0.00109% |
+| `1000_novels` | `klasyfikacji` | 14 | 0.00002% |
+| `1000_novels` | `ustawa` | 656 | 0.00108% |
+| `1000_novels` | `artykuł` | 729 | 0.00120% |
+| `1000_novels` | `parlament` | 240 | 0.00040% |
+| `1000_novels` | `rozporządzenie` | 65 | 0.00011% |
+| `1000_novels` | `w pobliżu` | 1,262 | 0.00209% |
+| `1000_novels` | `mieszkańców` | 868 | 0.00143% |
+| `1000_novels` | `Dz.U.` | 0 | 0.00000% |
+| `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
+| `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
+| `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
+| `dziennik_ustaw` | `artykuł` | 27,773 | 0.00571% |
+| `dziennik_ustaw` | `parlament` | 42,338 | 0.00871% |
+| `dziennik_ustaw` | `rozporządzenie` | 166,383 | 0.03423% |
+| `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
+| `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
+| `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
+| `eltec_pol` | `w roku` | 108 | 0.00050% |
+| `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
+| `eltec_pol` | `ustawa` | 153 | 0.00071% |
+| `eltec_pol` | `artykuł` | 173 | 0.00081% |
+| `eltec_pol` | `parlament` | 95 | 0.00044% |
+| `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
+| `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
+| `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
+| `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
+| `eurlex` | `w roku` | 40,009 | 0.00168% |
+| `eurlex` | `klasyfikacji` | 59,428 | 0.00250% |
+| `eurlex` | `ustawa` | 30,368 | 0.00128% |
+| `eurlex` | `artykuł` | 1,774,958 | 0.07464% |
+| `eurlex` | `parlament` | 780,286 | 0.03281% |
+| `eurlex` | `rozporządzenie` | 1,202,658 | 0.05057% |
+| `eurlex` | `w pobliżu` | 6,088 | 0.00026% |
+| `eurlex` | `mieszkańców` | 9,441 | 0.00040% |
+| `eurlex` | `Dz.U.` | 915,707 | 0.03851% |
+| `european_hplt_v3_pl` | `w roku` | 21,067 | 0.00411% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 3,576 | 0.00070% |
+| `european_hplt_v3_pl` | `ustawa` | 5,754 | 0.00112% |
+| `european_hplt_v3_pl` | `artykuł` | 56,295 | 0.01099% |
+| `european_hplt_v3_pl` | `parlament` | 10,618 | 0.00207% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 2,661 | 0.00052% |
+| `european_hplt_v3_pl` | `w pobliżu` | 9,877 | 0.00193% |
+| `european_hplt_v3_pl` | `mieszkańców` | 33,939 | 0.00662% |
+| `european_hplt_v3_pl` | `Dz.U.` | 1,482 | 0.00029% |
+| `global_voices` | `w roku` | 160 | 0.00431% |
+| `global_voices` | `klasyfikacji` | 5 | 0.00013% |
+| `global_voices` | `ustawa` | 157 | 0.00423% |
+| `global_voices` | `artykuł` | 1,047 | 0.02818% |
+| `global_voices` | `parlament` | 366 | 0.00985% |
+| `global_voices` | `rozporządzenie` | 26 | 0.00070% |
+| `global_voices` | `w pobliżu` | 105 | 0.00283% |
+| `global_voices` | `mieszkańców` | 508 | 0.01367% |
+| `global_voices` | `Dz.U.` | 1 | 0.00003% |
+| `govpl` | `w roku` | 3,372 | 0.00418% |
+| `govpl` | `klasyfikacji` | 526 | 0.00065% |
+| `govpl` | `ustawa` | 4,727 | 0.00586% |
+| `govpl` | `artykuł` | 2,417 | 0.00300% |
+| `govpl` | `parlament` | 3,967 | 0.00492% |
+| `govpl` | `rozporządzenie` | 4,102 | 0.00509% |
+| `govpl` | `w pobliżu` | 892 | 0.00111% |
+| `govpl` | `mieszkańców` | 13,105 | 0.01625% |
+| `govpl` | `Dz.U.` | 3,114 | 0.00386% |
+| `nkjp1m` | `w roku` | 109 | 0.00419% |
+| `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
+| `nkjp1m` | `ustawa` | 79 | 0.00304% |
+| `nkjp1m` | `artykuł` | 153 | 0.00588% |
+| `nkjp1m` | `parlament` | 216 | 0.00830% |
+| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
+| `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
+| `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
+| `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
+| `parliamentary` | `w roku` | 198,192 | 0.01203% |
+| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
+| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
+| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
+| `parliamentary` | `parlament` | 309,695 | 0.01881% |
+| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
+| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
+| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
+| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
+| `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
+
+![Overall pattern counts](artifacts/pattern_frequency_overall.png)
+
+![w roku by source](artifacts/pattern_frequency_w_roku.png)
+![klasyfikacji by source](artifacts/pattern_frequency_klasyfikacji.png)
+![ustawa by source](artifacts/pattern_frequency_ustawa.png)
+![artykuł by source](artifacts/pattern_frequency_artykul.png)
+![parlament by source](artifacts/pattern_frequency_parlament.png)
+![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)

artifacts/pattern_frequency_hf_snippet.md

@@ -1,18 +1,18 @@
 ## Phrase frequency in corpus (token-normalized)
 
-- Total token count (tiktoken proxy): **6,878,676,161**
+- Total token count (tiktoken proxy): **6,881,277,362**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 460,140 | 0.0067% |
-| `klasyfikacji` | 134,084 | 0.0019% |
-| `ustawa` | 598,097 | 0.0087% |
-| `artykuł` | 2,096,118 | 0.0305% |
-| `parlament` | 1,216,592 | 0.0177% |
-| `rozporządzenie` | 1,497,253 | 0.0218% |
-| `w pobliżu` | 89,697 | 0.0013% |
-| `mieszkańców` | 288,752 | 0.0042% |
-| `Dz.U.` | 944,563 | 0.0137% |
+| `w roku` | 460,249 | 0.0067% |
+| `klasyfikacji` | 134,093 | 0.0019% |
+| `ustawa` | 598,176 | 0.0087% |
+| `artykuł` | 2,096,271 | 0.0305% |
+| `parlament` | 1,216,808 | 0.0177% |
+| `rozporządzenie` | 1,497,273 | 0.0218% |
+| `w pobliżu` | 89,774 | 0.0013% |
+| `mieszkańców` | 288,911 | 0.0042% |
+| `Dz.U.` | 944,565 | 0.0137% |
 
 ### Per-source shares
 
@@ -81,6 +81,15 @@
 | `govpl` | `w pobliżu` | 892 | 0.00111% |
 | `govpl` | `mieszkańców` | 13,105 | 0.01625% |
 | `govpl` | `Dz.U.` | 3,114 | 0.00386% |
+| `nkjp1m` | `w roku` | 109 | 0.00419% |
+| `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
+| `nkjp1m` | `ustawa` | 79 | 0.00304% |
+| `nkjp1m` | `artykuł` | 153 | 0.00588% |
+| `nkjp1m` | `parlament` | 216 | 0.00830% |
+| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
+| `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
+| `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
+| `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
 | `parliamentary` | `w roku` | 198,192 | 0.01203% |
 | `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
 | `parliamentary` | `ustawa` | 459,179 | 0.02788% |

pattern_frequency_report.md

@@ -1,18 +1,18 @@
 ## Pattern frequency on corpus
 
-- total tokens (tiktoken proxy): `6,878,676,161`
+- total tokens (tiktoken proxy): `6,881,277,362`
 
 | pattern | count | share of all tokens |
 |---|---:|---:|
-| `w roku` | 460,140 | 0.0067% |
-| `klasyfikacji` | 134,084 | 0.0019% |
-| `ustawa` | 598,097 | 0.0087% |
-| `artykuł` | 2,096,118 | 0.0305% |
-| `parlament` | 1,216,592 | 0.0177% |
-| `rozporządzenie` | 1,497,253 | 0.0218% |
-| `w pobliżu` | 89,697 | 0.0013% |
-| `mieszkańców` | 288,752 | 0.0042% |
-| `Dz.U.` | 944,563 | 0.0137% |
+| `w roku` | 460,249 | 0.0067% |
+| `klasyfikacji` | 134,093 | 0.0019% |
+| `ustawa` | 598,176 | 0.0087% |
+| `artykuł` | 2,096,271 | 0.0305% |
+| `parlament` | 1,216,808 | 0.0177% |
+| `rozporządzenie` | 1,497,273 | 0.0218% |
+| `w pobliżu` | 89,774 | 0.0013% |
+| `mieszkańców` | 288,911 | 0.0042% |
+| `Dz.U.` | 944,565 | 0.0137% |
 
 | source | pattern | count | per-token share |
 |---|---|---:|---:|
@@ -79,6 +79,15 @@
 | govpl | `w pobliżu` | 892 | 0.00111% |
 | govpl | `mieszkańców` | 13,105 | 0.01625% |
 | govpl | `Dz.U.` | 3,114 | 0.00386% |
+| nkjp1m | `w roku` | 109 | 0.00419% |
+| nkjp1m | `klasyfikacji` | 9 | 0.00035% |
+| nkjp1m | `ustawa` | 79 | 0.00304% |
+| nkjp1m | `artykuł` | 153 | 0.00588% |
+| nkjp1m | `parlament` | 216 | 0.00830% |
+| nkjp1m | `rozporządzenie` | 20 | 0.00077% |
+| nkjp1m | `w pobliżu` | 77 | 0.00296% |
+| nkjp1m | `mieszkańców` | 159 | 0.00611% |
+| nkjp1m | `Dz.U.` | 2 | 0.00008% |
 | parliamentary | `w roku` | 198,192 | 0.01203% |
 | parliamentary | `klasyfikacji` | 12,637 | 0.00077% |
 | parliamentary | `ustawa` | 459,179 | 0.02788% |

src/make_docs.py

@@ -120,7 +120,10 @@ def main():
         st = load_stats(name)
         if not st:
             print(f"  ! no stats for {name}"); continue
-        (ROOT / "data" / name / f"{name}.md").write_text(datasheet(name, cfg, st))
+        # Sources with a hand-authored datasheet (rich provenance, per-source add
+        # date) opt out of template regeneration to avoid clobbering it.
+        if not cfg.get("custom_datasheet"):
+            (ROOT / "data" / name / f"{name}.md").write_text(datasheet(name, cfg, st))
         rows.append((name, cfg, st))
         tot_doc += st["kept"]; tot_tok += st["tokens"]; tot_chr += st["chars"]
     rows.sort(key=lambda r: -r[2]["tokens"])

src/sources.py

@@ -288,6 +288,41 @@ SOURCES = {
                       "containment dedup vs existing sources is left to downstream per "
                       "Dynaword guidelines. Parity with the accepted european-hplt-v1 CC0 basis.",
     },
+    "1000_novels": {
+        "speakleash_key": "1000_novels_corpus_CLARIN-PL",
+        "pretty": "1000 Novels Corpus (CLARIN-PL)",
+        "license": "CC-BY-4.0",
+        "license_spdx": "CC-BY-4.0",
+        "traceable": "The 1000 Novels Corpus is released under Creative Commons "
+                     "Attribution 4.0 International by CLARIN-PL / Wrocław University "
+                     "of Technology, with attribution to the corpus authors and "
+                     "maintainers.",
+        "upstream": "https://clarin-pl.eu/dspace/handle/11321/312",
+        "domain": "literature",
+        "created": "unknown",
+        "is_ocr": False,
+        # Datasheet is contributor-committed (added 2026-07-02); skip regeneration
+        # so the global ADDED stamp does not overwrite the real add date.
+        "custom_datasheet": True,
+    },
+    "global_voices": {
+        # Data contributed directly (PR #7): no in-repo fetch/build script and a
+        # hand-authored datasheet. Registered for the source table + release totals;
+        # the datasheet stays contributor-owned via custom_datasheet.
+        "file_key": "global_voices",
+        "pretty": "Global Voices Polish",
+        "license": "CC-BY-3.0",
+        "license_spdx": "CC-BY-3.0",
+        "traceable": "CC BY 3.0 verified from the article-level license link published "
+                     "with each retained Global Voices article; each record carries "
+                     "CC-BY-3.0 metadata and per-document author/translator attribution "
+                     "in global_voices.attribution.jsonl.",
+        "upstream": "https://pl.globalvoices.org/",
+        "domain": "civic media, news and public-interest journalism",
+        "created": "2008-11-04, 2023-05-24",
+        "is_ocr": False,
+        "custom_datasheet": True,
+    },
 }
 
 ADDED = "2026-07-19"