govpl: drop 186 third-party texts by a pinned review table (v2#106)

artifacts/source_findings.md

@@ -1322,6 +1322,34 @@ https://www.gov.pl/web/gov/prawa-autorskie (read 2026-10-06).
 **Lesson** — an open-licence footer covers the publisher's own text. On a news-style
 site, check source lines for agency copy before taking the footer at face value.
 
+## govpl — other third-party texts dropped (2026-10-19, update to the section above)
+
+**Verdict** — `kept`, minus 186 more rows (slayerlabs/polish-dynaword-v2#106).
+88,002 → 87,816 documents, 217,515,240 → 216,869,817 characters (−645,423),
+80,445,758 → 80,204,973 tokens (−240,785). `src/clean_govpl.py` applies
+`data/govpl/govpl.third-party-review.csv` (pinned by SHA-256) after the PAP rule, so ids
+are unchanged; the build stops if the review and the `Źródło:` match disagree on any row.
+
+**Reason** — the "Not reviewed: 710" rows above. Each `Źródło:` line was split into the
+sources it names and each source was classified (141 groups). Only lines that credit the
+article's text count; lines that credit data, a chart, a reference, a quotation or a photo
+do not.
+- Kept: 436 rows credit their text to a public office only, 94 credit no text.
+- Dropped: 13 credit, wholly or partly, a news portal, news agency, broadcaster or
+  magazine (50,933 characters); 167 credit, wholly or partly, another non-public source,
+  such as an NGO, an international or EU body, a company, a university, a museum or a
+  website (525,799 characters).
+- Dropped: 6 interviews and reprints found by title and phrase rules (68,691 characters),
+  5 of them naming another outlet (Polska Zbrojna, wPolityce, Rzeczpospolita, Biuletyn
+  IPN) and one Q&A that names no outlet.
+- Kept: 40 teasers that quote a third-party interview and point to it (26 from
+  prokuratura-krajowa).
+- Misses: 0 in a seeded sample of 200 rows matched by no rule (seed 20261019, one
+  labeller, Claude; 95% upper bound 1.83%, up to about 1,590 rows); no larger read.
+
+**Lesson** — on a public-sector site, a source line that names a body outside government
+(a museum, a university, an NGO) points to text the site's licence may not cover.
+
 ## samorzad_gov_pl — third-party slices dropped (2026-10-06)
 
 **Verdict** — kept, relabelled, 144 rows dropped: 72,472 → 72,328 documents,

data/govpl/govpl.attribution.jsonl

@@ -1,3 +1,3 @@
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-oid sha256:ff137d2042ff32198ec7eb28347631dbf21735ab27afc2d823f8c27d0904aa33
-size 26318408
+oid sha256:e8c952efe396278c969d2327ce33344e66ef10d68749a095ae4d9bfc5bb5ab7c
+size 26268699

data/govpl/govpl.md

@@ -8,35 +8,35 @@ gov.pl — Polish government press releases
 - **Language:** Polish (pl)
 - **License:** `CC-BY-SA-4.0`
 - **Created (range):** 2005-09-26, 2026-07-19
-- **Added:** 2026-07-19; PAP reprints removed 2026-10-06
+- **Added:** 2026-07-19; PAP reprints removed 2026-10-06; other third-party texts removed 2026-10-19
 
 ## Licensing — traceable basis
-gov.pl publishes its text under CC BY-SA 4.0 (site footer and https://www.gov.pl/web/gov/prawa-autorskie: "Treści tekstowe publikowane w serwisie … są udostępniane na licencji CC BY-SA 4.0"). The same page excludes works whose copyright belongs to third parties; using those needs the owners' consent. Articles crediting PAP are therefore dropped (legal note).
+gov.pl publishes its text under CC BY-SA 4.0 (site footer and https://www.gov.pl/web/gov/prawa-autorskie: "Treści tekstowe publikowane w serwisie … są udostępniane na licencji CC BY-SA 4.0"). The same page excludes works whose copyright belongs to third parties; using those needs the owners' consent. Articles crediting PAP and other third-party texts are therefore dropped (legal note).
 
 ## Provenance
-Ministry/agency press releases fetched directly from gov.pl (editor-content per article, HTML stripped) by src/fetch_govpl.py. Subsites + their non-uniform news-section paths are enumerated by src/discover_govpl.py into the committed manifest src/govpl_subsites.json (gov.pl has no sitemap/API). v0.2.6 removes PAP reprints from the v0.2.5 Parquet with src/clean_govpl.py, which also writes govpl.attribution.jsonl: each row's gov.pl URL, subsite, title and date.
+Ministry/agency press releases fetched directly from gov.pl (editor-content per article, HTML stripped) by src/fetch_govpl.py. Subsites + their non-uniform news-section paths are enumerated by src/discover_govpl.py into the committed manifest src/govpl_subsites.json (gov.pl has no sitemap/API). v0.2.6 removes PAP reprints and the third-party texts listed in govpl.third-party-review.csv from the v0.2.5 Parquet with src/clean_govpl.py, which also writes govpl.attribution.jsonl: each row's gov.pl URL, subsite, title and date.
 
 ## Attribution
 CC BY-SA 4.0 requires credit and a link to the source. `govpl.attribution.jsonl` has one
 line per row, in Parquet order: `id`, `url` (the gov.pl article), `subsite` (the publishing
 ministry or agency), `title`, `date` (as listed on gov.pl) and `license`. Rows were matched
-to the 2026-07-19 crawl on SHA-1 of the stripped text; for 1,189 rows the same text was
+to the 2026-07-19 crawl on SHA-1 of the stripped text; for 1,185 rows the same text was
 fetched from more than one URL, and the first in fetch order is given.
 
 ## Statistics
 | documents | characters | tokens (tiktoken proxy) |
 |---:|---:|---:|
-| 88,002 | 217,515,240 | 80,445,758 |
+| 87,816 | 216,869,817 | 80,204,973 |
 
 ## Per-document license metadata
 | license | documents |
 |---|---:|
-| `CC-BY-SA-4.0` | 88,002 |
+| `CC-BY-SA-4.0` | 87,816 |
 
 Author metadata present for **0** documents. Empty values mean the upstream record did not expose a machine-readable author field.
 
 ## Legal scope note
-gov.pl's copyright page carves out "utwory, co do których prawa autorskie przysługują osobom trzecim" from its CC BY-SA 4.0 grant. Articles crediting PAP (Polish Press Agency) as their source are such works, so 188 are dropped (rule fetch_govpl.pap_rule, applied by src/clean_govpl.py): a "Źródło:" line naming PAP (163), "Na podst. … PAP" (22), a "(PAP)" sign-off line (2) and one PAP interview transcript (1). PAP photo credits and articles that only quote or mention PAP stay. Other third-party text is not screened: 710 kept articles carry a "Źródło:" line naming some other source; they were not reviewed.
+gov.pl's copyright page carves out "utwory, co do których prawa autorskie przysługują osobom trzecim" from its CC BY-SA 4.0 grant. Articles crediting PAP (Polish Press Agency) as their source are such works, so 188 are dropped (rule fetch_govpl.pap_rule, applied by src/clean_govpl.py): a "Źródło:" line naming PAP (163), "Na podst. … PAP" (22), a "(PAP)" sign-off line (2) and one PAP interview transcript (1). PAP photo credits and articles that only quote or mention PAP stay. Other third-party text was reviewed in v0.2.6 (our assessment, src/clean_govpl.py with govpl.third-party-review.csv): every other article with a "Źródło:" line (710) was classified by the source the line credits, and interview and reprint rules found 6 more. 186 are dropped: 13 whose text is credited, wholly or partly, to a news portal, news agency, broadcaster or magazine, 167 whose text is credited, wholly or partly, to a source other than a public office (for example an NGO, an international or EU body, a company, a university, a museum or another website) and 6 interviews and reprints from other outlets (one names no outlet). The 530 that stay credit their text to a public office (436) or credit only data, a chart, a reference or a quotation (94). Teasers that quote a third-party interview and point to it stay. Articles that match none of these rules were checked on a seeded sample of 200; none was a third-party text.
 
 ## Filters applied
 `build_dynaword.py` (v0.2.2), minimal per Dynaword guidelines:
@@ -47,7 +47,8 @@ gov.pl's copyright page carves out "utwory, co do których prawa autorskie przys
 
 `src/clean_govpl.py` (v0.2.6), third-party carve-out:
 - drop PAP reprints: **188** (`Źródło:` line 163, `Na podst.` 22, `(PAP)` sign-off 2, interview 1)
-- read 88,190 → kept 88,002
+- drop other third-party texts: **186** (`govpl.third-party-review.csv`: text credited to media 13, to other non-public sources 167, interviews and reprints 6)
+- read 88,190 → kept 87,816
 
 Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical
 Llama-3 count is computed at release.

data/govpl/govpl.parquet

@@ -1,3 +1,3 @@
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-oid sha256:5e97d5b1ec04aebadaddd9ecb9fc6835324885606f59d4e8569f5516528f839b
-size 82308595
+oid sha256:1f4c50d596c937a94e57c2418ec11ced55dee2f226df73ed406a897b01697919
+size 82002226

data/govpl/govpl.stats.json

@@ -11,15 +11,22 @@
     "based_on": 22,
     "interview": 1
   },
-  "kept": 88002,
-  "chars": 217515240,
-  "tokens": 80445758,
+  "drop_third_party": 186,
+  "drop_third_party_by_reason": {
+    "credit_media": 13,
+    "credit_other": 167,
+    "third_party_text": 6
+  },
+  "kept": 87816,
+  "chars": 216869817,
+  "tokens": 80204973,
   "licenses": {
-    "CC-BY-SA-4.0": 88002
+    "CC-BY-SA-4.0": 87816
   },
   "authors_with_value": 0,
   "license": "CC-BY-SA-4.0",
   "input_rows": 88190,
   "input_sha256": "9c0310fcdf45804e6547bd197cba55f58f12df618cd3d8b92b8e9077a3720b9f",
-  "fetched_sha256": "368259d0ea8522eced71b426ae238556d5330a410aa994bdcbdc7427478d783a"
+  "fetched_sha256": "368259d0ea8522eced71b426ae238556d5330a410aa994bdcbdc7427478d783a",
+  "review_sha256": "599f678bb1f3e1d058b3d115667e73331f3324eaccc9766cf54694860533e90b"
 }

data/govpl/govpl.third-party-review.csv

@@ -0,0 +1,717 @@
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+govpl_55336,drop,credit_other
+govpl_55380,keep,credit_public_office
+govpl_55406,keep,credit_public_office
+govpl_55499,drop,credit_other
+govpl_55501,drop,credit_other
+govpl_56687,keep,credit_public_office
+govpl_56694,keep,credit_public_office
+govpl_56841,keep,credit_public_office
+govpl_56918,keep,credit_public_office
+govpl_56952,keep,credit_public_office
+govpl_56954,keep,credit_public_office
+govpl_56965,keep,credit_public_office
+govpl_56988,keep,credit_public_office
+govpl_56997,keep,credit_public_office
+govpl_57035,keep,credit_public_office
+govpl_57037,keep,credit_public_office
+govpl_57041,keep,credit_public_office
+govpl_57079,keep,credit_public_office
+govpl_57102,keep,credit_public_office
+govpl_57142,keep,credit_public_office
+govpl_57176,keep,credit_public_office
+govpl_57183,drop,credit_other
+govpl_57187,keep,credit_public_office
+govpl_57189,keep,credit_public_office
+govpl_57208,keep,credit_public_office
+govpl_57222,keep,credit_public_office
+govpl_57232,keep,credit_public_office
+govpl_57269,keep,credit_public_office
+govpl_57277,keep,credit_public_office
+govpl_57341,keep,credit_public_office
+govpl_57370,drop,credit_other
+govpl_57406,drop,credit_other
+govpl_57483,keep,credit_public_office
+govpl_57534,keep,credit_public_office
+govpl_57601,keep,credit_public_office
+govpl_57774,keep,credit_public_office
+govpl_57776,keep,credit_public_office
+govpl_57789,keep,credit_public_office
+govpl_57818,drop,credit_other
+govpl_57852,keep,credit_public_office
+govpl_57919,keep,credit_public_office
+govpl_57998,drop,credit_other
+govpl_58003,drop,credit_other
+govpl_58031,keep,credit_public_office
+govpl_58047,drop,credit_other
+govpl_58062,keep,credit_public_office
+govpl_58071,keep,credit_public_office
+govpl_58095,keep,credit_public_office
+govpl_58107,keep,credit_public_office
+govpl_58141,keep,credit_public_office
+govpl_58156,keep,credit_public_office
+govpl_58158,keep,credit_public_office
+govpl_58177,keep,credit_public_office
+govpl_58225,keep,credit_public_office
+govpl_58241,keep,credit_public_office
+govpl_58243,keep,credit_public_office
+govpl_58269,keep,credit_public_office
+govpl_58272,keep,credit_public_office
+govpl_58306,keep,credit_public_office
+govpl_58339,keep,credit_public_office
+govpl_58348,keep,credit_public_office
+govpl_58355,keep,credit_public_office
+govpl_58369,keep,credit_public_office
+govpl_58373,keep,credit_public_office
+govpl_58381,keep,credit_public_office
+govpl_58388,keep,credit_public_office
+govpl_58392,keep,credit_public_office
+govpl_58412,keep,credit_public_office
+govpl_58422,keep,credit_public_office
+govpl_58426,keep,credit_public_office
+govpl_58464,keep,credit_public_office
+govpl_58468,keep,credit_public_office
+govpl_58473,keep,credit_public_office
+govpl_58475,keep,credit_public_office
+govpl_58509,keep,credit_public_office
+govpl_58516,keep,credit_public_office
+govpl_58521,keep,credit_public_office
+govpl_58528,keep,credit_public_office
+govpl_58533,keep,credit_public_office
+govpl_58548,keep,credit_public_office
+govpl_58558,keep,credit_public_office
+govpl_58589,keep,credit_public_office
+govpl_58795,keep,credit_public_office
+govpl_58824,drop,credit_other
+govpl_58872,drop,credit_other
+govpl_59039,drop,credit_other
+govpl_59073,keep,credit_public_office
+govpl_59456,keep,credit_public_office
+govpl_59930,drop,credit_other
+govpl_60582,keep,credit_public_office
+govpl_60651,keep,credit_public_office
+govpl_61048,keep,credit_public_office
+govpl_61370,drop,credit_other
+govpl_61486,keep,credit_public_office
+govpl_61551,drop,credit_other
+govpl_61653,keep,credit_public_office
+govpl_61669,keep,credit_public_office
+govpl_61731,keep,credit_public_office
+govpl_61739,keep,credit_public_office
+govpl_61792,keep,credit_public_office
+govpl_61797,keep,credit_public_office
+govpl_61801,keep,credit_public_office
+govpl_61850,keep,credit_public_office
+govpl_62038,keep,credit_public_office
+govpl_62064,keep,no_text_credit
+govpl_62115,keep,credit_public_office
+govpl_62142,keep,no_text_credit
+govpl_62306,keep,credit_public_office
+govpl_62482,keep,credit_public_office
+govpl_62633,keep,credit_public_office
+govpl_62653,keep,credit_public_office
+govpl_62807,keep,credit_public_office
+govpl_62964,keep,credit_public_office
+govpl_62970,keep,credit_public_office
+govpl_62990,keep,credit_public_office
+govpl_63020,keep,credit_public_office
+govpl_63059,drop,credit_media
+govpl_63106,drop,credit_other
+govpl_63193,keep,credit_public_office
+govpl_63203,keep,credit_public_office
+govpl_63213,keep,credit_public_office
+govpl_63235,keep,credit_public_office
+govpl_63245,keep,credit_public_office
+govpl_63251,keep,credit_public_office
+govpl_63288,keep,credit_public_office
+govpl_63314,drop,credit_other
+govpl_63317,keep,credit_public_office
+govpl_63350,keep,credit_public_office
+govpl_63359,keep,credit_public_office
+govpl_63377,keep,credit_public_office
+govpl_63381,drop,credit_other
+govpl_63442,drop,credit_other
+govpl_63766,keep,credit_public_office
+govpl_63770,keep,credit_public_office
+govpl_64924,drop,credit_other
+govpl_65055,keep,credit_public_office
+govpl_65057,keep,credit_public_office
+govpl_65070,keep,no_text_credit
+govpl_65118,keep,credit_public_office
+govpl_65122,keep,credit_public_office
+govpl_65124,keep,no_text_credit
+govpl_65178,keep,no_text_credit
+govpl_65179,keep,credit_public_office
+govpl_65188,keep,credit_public_office
+govpl_65189,keep,credit_public_office
+govpl_65190,keep,credit_public_office
+govpl_65192,keep,credit_public_office
+govpl_65193,keep,credit_public_office
+govpl_65225,drop,credit_other
+govpl_65465,keep,no_text_credit
+govpl_66155,keep,no_text_credit
+govpl_66203,keep,credit_public_office
+govpl_66217,keep,credit_public_office
+govpl_66353,keep,credit_public_office
+govpl_66423,keep,no_text_credit
+govpl_66444,keep,credit_public_office
+govpl_66446,drop,credit_other
+govpl_66471,keep,credit_public_office
+govpl_66488,keep,credit_public_office
+govpl_66540,keep,credit_public_office
+govpl_66659,keep,no_text_credit
+govpl_67030,keep,credit_public_office
+govpl_67140,keep,credit_public_office
+govpl_67161,keep,credit_public_office
+govpl_67728,keep,credit_public_office
+govpl_67961,keep,credit_public_office
+govpl_67995,keep,credit_public_office
+govpl_68159,drop,credit_other
+govpl_68463,drop,credit_other
+govpl_69117,keep,no_text_credit
+govpl_71137,drop,credit_other
+govpl_71276,keep,no_text_credit
+govpl_71648,keep,credit_public_office
+govpl_71659,keep,credit_public_office
+govpl_71706,drop,credit_other
+govpl_71851,keep,credit_public_office
+govpl_71852,keep,credit_public_office
+govpl_71902,keep,credit_public_office
+govpl_71909,keep,credit_public_office
+govpl_71919,drop,credit_other
+govpl_71921,keep,credit_public_office
+govpl_71926,drop,credit_other
+govpl_71928,keep,no_text_credit
+govpl_71933,keep,credit_public_office
+govpl_71937,keep,credit_public_office
+govpl_71940,keep,credit_public_office
+govpl_71949,keep,credit_public_office
+govpl_71950,keep,credit_public_office
+govpl_71955,keep,credit_public_office
+govpl_71956,keep,credit_public_office
+govpl_71969,keep,credit_public_office
+govpl_71980,keep,credit_public_office
+govpl_71988,keep,credit_public_office
+govpl_71992,keep,credit_public_office
+govpl_71994,keep,credit_public_office
+govpl_71997,keep,credit_public_office
+govpl_71998,keep,credit_public_office
+govpl_72026,keep,credit_public_office
+govpl_72027,drop,credit_media
+govpl_72035,keep,credit_public_office
+govpl_72038,keep,credit_public_office
+govpl_72042,keep,credit_public_office
+govpl_72044,keep,credit_public_office
+govpl_72045,keep,credit_public_office
+govpl_72058,keep,credit_public_office
+govpl_72060,drop,credit_media
+govpl_72061,keep,credit_public_office
+govpl_72073,keep,credit_public_office
+govpl_72074,keep,credit_public_office
+govpl_72077,keep,credit_public_office
+govpl_72087,keep,credit_public_office
+govpl_72100,drop,credit_other
+govpl_72131,keep,credit_public_office
+govpl_72167,drop,credit_other
+govpl_72175,keep,no_text_credit
+govpl_72187,drop,credit_media
+govpl_72217,drop,credit_other
+govpl_72218,keep,no_text_credit
+govpl_72320,keep,credit_public_office
+govpl_72397,keep,credit_public_office
+govpl_72430,keep,credit_public_office
+govpl_72434,keep,credit_public_office
+govpl_72522,keep,credit_public_office
+govpl_72538,keep,credit_public_office
+govpl_72576,drop,credit_other
+govpl_72837,drop,credit_other
+govpl_73337,drop,credit_other
+govpl_73397,drop,credit_media
+govpl_73492,keep,credit_public_office
+govpl_73587,keep,credit_public_office
+govpl_73655,keep,no_text_credit
+govpl_73984,drop,credit_other
+govpl_74099,keep,credit_public_office
+govpl_74119,drop,credit_media
+govpl_74168,drop,credit_other
+govpl_74247,drop,third_party_text
+govpl_76365,keep,credit_public_office
+govpl_76366,keep,credit_public_office
+govpl_76380,drop,third_party_text
+govpl_76381,keep,credit_public_office
+govpl_76408,keep,credit_public_office
+govpl_78895,keep,credit_public_office
+govpl_79427,keep,credit_public_office
+govpl_80434,drop,credit_other
+govpl_80453,keep,no_text_credit
+govpl_80462,keep,no_text_credit
+govpl_80463,keep,no_text_credit
+govpl_80476,keep,no_text_credit
+govpl_80481,keep,no_text_credit
+govpl_80482,drop,credit_other
+govpl_80564,drop,credit_other
+govpl_80571,keep,no_text_credit
+govpl_80573,keep,no_text_credit
+govpl_80594,drop,credit_other
+govpl_80602,drop,credit_other
+govpl_80630,keep,no_text_credit
+govpl_80661,keep,credit_public_office
+govpl_80668,keep,no_text_credit
+govpl_80670,keep,no_text_credit
+govpl_80685,keep,no_text_credit
+govpl_80704,keep,no_text_credit
+govpl_80712,keep,no_text_credit
+govpl_80734,drop,credit_other
+govpl_80739,keep,no_text_credit
+govpl_80767,keep,credit_public_office
+govpl_80775,keep,credit_public_office
+govpl_80793,drop,credit_other
+govpl_80838,drop,credit_other
+govpl_80859,keep,credit_public_office
+govpl_80876,keep,no_text_credit
+govpl_80880,keep,no_text_credit
+govpl_80883,keep,credit_public_office
+govpl_80884,keep,no_text_credit
+govpl_80922,keep,no_text_credit
+govpl_80935,keep,no_text_credit
+govpl_80940,keep,no_text_credit
+govpl_80947,drop,credit_other
+govpl_80973,drop,credit_other
+govpl_80990,keep,no_text_credit
+govpl_81001,keep,credit_public_office
+govpl_81026,drop,credit_other
+govpl_81046,keep,no_text_credit
+govpl_81048,keep,no_text_credit
+govpl_81089,keep,no_text_credit
+govpl_81092,drop,credit_other
+govpl_81098,drop,credit_other
+govpl_81100,drop,credit_other
+govpl_81128,keep,no_text_credit
+govpl_81148,keep,no_text_credit
+govpl_81159,keep,no_text_credit
+govpl_81463,keep,no_text_credit
+govpl_86201,keep,no_text_credit
+govpl_86459,keep,credit_public_office
+govpl_86478,keep,credit_public_office
+govpl_86519,keep,credit_public_office
+govpl_86521,keep,credit_public_office
+govpl_86522,keep,credit_public_office
+govpl_86693,keep,credit_public_office
+govpl_86779,keep,credit_public_office
+govpl_86847,keep,credit_public_office
+govpl_86861,keep,credit_public_office
+govpl_86878,keep,credit_public_office
+govpl_86899,keep,no_text_credit
+govpl_86901,keep,credit_public_office
+govpl_86914,keep,no_text_credit
+govpl_87196,keep,credit_public_office
+govpl_87197,keep,credit_public_office
+govpl_87218,keep,credit_public_office
+govpl_87222,drop,credit_other
+govpl_87240,keep,credit_public_office
+govpl_87270,keep,credit_public_office
+govpl_87274,keep,credit_public_office
+govpl_87275,keep,credit_public_office
+govpl_87277,keep,credit_public_office
+govpl_87281,keep,credit_public_office
+govpl_87284,keep,credit_public_office
+govpl_87285,keep,credit_public_office
+govpl_87294,keep,credit_public_office
+govpl_87301,keep,credit_public_office
+govpl_87311,keep,credit_public_office
+govpl_87313,keep,credit_public_office
+govpl_87315,keep,credit_public_office
+govpl_87330,keep,credit_public_office
+govpl_87347,keep,credit_public_office
+govpl_87365,drop,credit_other
+govpl_87373,keep,credit_public_office
+govpl_87449,keep,credit_public_office
+govpl_87524,keep,credit_public_office
+govpl_87528,drop,credit_other
+govpl_87530,drop,credit_other
+govpl_87551,keep,credit_public_office
+govpl_87556,drop,credit_other
+govpl_87676,keep,credit_public_office
+govpl_87683,drop,credit_other
+govpl_87691,keep,credit_public_office
+govpl_87703,drop,credit_other
+govpl_87712,keep,credit_public_office
+govpl_87729,drop,credit_other
+govpl_87813,keep,credit_public_office
+govpl_87814,keep,credit_public_office
+govpl_87816,drop,credit_other
+govpl_87834,keep,credit_public_office
+govpl_87836,keep,credit_public_office
+govpl_87884,drop,credit_other
+govpl_87890,keep,credit_public_office
+govpl_87913,keep,credit_public_office
+govpl_87914,keep,credit_public_office
+govpl_87919,keep,credit_public_office
+govpl_87921,keep,credit_public_office
+govpl_87931,drop,credit_other
+govpl_87936,keep,credit_public_office
+govpl_87941,drop,credit_other
+govpl_87947,keep,credit_public_office
+govpl_87949,keep,credit_public_office
+govpl_87953,keep,credit_public_office
+govpl_87954,keep,credit_public_office
+govpl_87955,drop,credit_other
+govpl_87957,keep,credit_public_office
+govpl_87960,keep,credit_public_office
+govpl_87963,keep,credit_public_office
+govpl_87967,keep,credit_public_office
+govpl_87970,keep,credit_public_office
+govpl_87972,drop,credit_other
+govpl_87975,keep,credit_public_office
+govpl_87980,keep,credit_public_office
+govpl_87984,keep,credit_public_office
+govpl_87991,drop,credit_other
+govpl_87992,keep,credit_public_office
+govpl_87995,keep,credit_public_office
+govpl_87997,keep,credit_public_office
+govpl_88001,keep,credit_public_office
+govpl_88003,drop,credit_other
+govpl_88004,keep,credit_public_office
+govpl_88008,keep,credit_public_office
+govpl_88010,keep,credit_public_office
+govpl_88012,drop,credit_media
+govpl_88014,keep,credit_public_office
+govpl_88015,keep,credit_public_office
+govpl_88017,keep,credit_public_office
+govpl_88018,keep,credit_public_office
+govpl_88020,keep,credit_public_office
+govpl_88024,keep,credit_public_office
+govpl_88026,keep,credit_public_office
+govpl_88028,keep,credit_public_office
+govpl_88030,keep,credit_public_office
+govpl_88032,keep,credit_public_office
+govpl_88034,drop,credit_other
+govpl_88037,keep,credit_public_office
+govpl_88039,keep,credit_public_office
+govpl_88041,keep,credit_public_office
+govpl_88043,keep,credit_public_office
+govpl_88045,keep,credit_public_office
+govpl_88047,keep,credit_public_office
+govpl_88050,keep,credit_public_office
+govpl_88054,drop,credit_other
+govpl_88056,keep,credit_public_office
+govpl_88057,keep,credit_public_office
+govpl_88059,keep,credit_public_office
+govpl_88061,keep,credit_public_office
+govpl_88064,keep,credit_public_office
+govpl_88066,keep,credit_public_office
+govpl_88068,keep,credit_public_office
+govpl_88070,keep,credit_public_office
+govpl_88073,keep,credit_public_office
+govpl_88074,keep,credit_public_office
+govpl_88076,keep,credit_public_office
+govpl_88078,keep,credit_public_office
+govpl_88079,keep,credit_public_office

src/clean_govpl.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Drop PAP reprints from `govpl` and write a per-row URL sidecar.
+"""Drop PAP reprints and other third-party texts from `govpl` and write a per-row URL sidecar.
 
 gov.pl's copyright page (https://www.gov.pl/web/gov/prawa-autorskie) licenses the
 site's text under CC BY-SA 4.0 but excludes works whose copyright belongs to third
@@ -8,22 +8,32 @@ works (slayerlabs/polish-dynaword-v2#51). `fetch_govpl.pap_rule` names them; thi
 script removes them from the released Parquet, so ids and the other rows stay as they
 are (a rebuild through build_dynaword.py would renumber ids).
 
+Other third-party texts are dropped by `govpl.third-party-review.csv` (polish-dynaword-v2#106):
+one decision per article that carries a "Źródło:" line (`ZRODLO`) and is not a PAP reprint,
+plus six articles reprinted from or written for other outlets. A "Źródło:" article stays only
+when its text is credited to a public office (`credit_public_office`) or the line credits
+something other than the text, such as data, a chart, a reference or a quotation
+(`no_text_credit`). The review must list exactly the non-PAP articles that match `ZRODLO`,
+plus the `third_party_text` ones.
+
 `govpl.attribution.jsonl` gives each kept row the gov.pl URL, subsite, title and date
 of the fetched article, matched on build_dynaword's dedup key (SHA-1 of the stripped
 text) in the fetch output `govpl.jsonl.zst`. Where the same text was fetched from
 several URLs, the first one in fetch order is used.
 
-Both inputs are pinned by SHA-256. Restore the Parquet before a rerun:
+The inputs and the review are pinned by SHA-256. Restore the Parquet before a rerun:
   git checkout v0.2.5 -- data/govpl/govpl.parquet
   python3 src/clean_govpl.py --fetched ~/speakleash/govpl.jsonl.zst
 """
 from __future__ import annotations
 
 import argparse
+import csv
 import hashlib
 import io
 import json
 import os
+import re
 import sys
 from collections import Counter
 from pathlib import Path
@@ -38,6 +48,12 @@ ROOT = Path(__file__).resolve().parents[1]
 DATA = ROOT / "data" / SOURCE
 INPUT_SHA256 = "9c0310fcdf45804e6547bd197cba55f58f12df618cd3d8b92b8e9077a3720b9f"  # v0.2.5
 FETCHED_SHA256 = "368259d0ea8522eced71b426ae238556d5330a410aa994bdcbdc7427478d783a"  # 2026-07-19 crawl
+REVIEW_SHA256 = "599f678bb1f3e1d058b3d115667e73331f3324eaccc9766cf54694860533e90b"  # govpl.third-party-review.csv
+REVIEW_REASONS = {
+    "keep": {"credit_public_office", "no_text_credit"},
+    "drop": {"credit_media", "credit_other", "third_party_text"},
+}
+ZRODLO = re.compile(r"(?i)\b[źżz]r[óo]d[łl][oa](?:\s+informacji)?\s*:")  # "Źródło:" / "Źródła:" line
 BUILD_STATS = {  # build_dynaword.py counts for the v0.2.5 Parquet, kept for the datasheet
     "read": 90140, "drop_short": 0, "drop_lang": 24, "drop_dup": 1926, "drop_ocr": 0,
 }
@@ -67,17 +83,40 @@ def check_pin(path: Path, expected: str, restore: str) -> None:
         raise SystemExit(f"{path} does not match the pinned SHA-256; {restore}")
 
 
-def build(input_path: Path, fetched_path: Path, out_dir: Path) -> dict:
+def read_review(path: Path) -> dict[str, tuple[str, str]]:
+    """id -> (decision, reason) from the pinned review table."""
+    check_pin(path, REVIEW_SHA256, "it is not the reviewed govpl.third-party-review.csv")
+    review = {}
+    with path.open(encoding="utf-8", newline="") as stream:
+        for line in csv.DictReader(stream):
+            if line["reason"] not in REVIEW_REASONS.get(line["decision"], ()):
+                raise SystemExit(f"{path}: bad decision or reason for {line['id']}")
+            if review.setdefault(line["id"], (line["decision"], line["reason"])) != (line["decision"], line["reason"]):
+                raise SystemExit(f"{path}: {line['id']} listed twice")
+    return review
+
+
+def build(input_path: Path, fetched_path: Path, review_path: Path, out_dir: Path) -> dict:
     check_pin(input_path, INPUT_SHA256, "restore it with `git checkout v0.2.5 -- data/govpl/govpl.parquet`")
     check_pin(fetched_path, FETCHED_SHA256, "it is not the 2026-07-19 gov.pl crawl")
+    review = read_review(review_path)
     table = pq.read_table(input_path)
     meta = fetched_meta(fetched_path)
 
-    kept, attribution, dropped = [], [], Counter()
+    kept, attribution, dropped, dropped_third_party = [], [], Counter(), Counter()
+    mismatched, seen = [], set()
     for row in table.to_pylist():
         if rule := pap_rule(row["text"]):
             dropped[rule] += 1
             continue
+        decision, reason = review.get(row["id"], (None, None))
+        if decision:
+            seen.add(row["id"])
+        if bool(ZRODLO.search(row["text"])) != (decision is not None and reason != "third_party_text"):
+            mismatched.append(row["id"])
+        if decision == "drop":
+            dropped_third_party[reason] += 1
+            continue
         found = meta.get(text_key(row["text"]))
         if found is None:
             raise SystemExit(f"{row['id']}: text not found in {fetched_path}")
@@ -86,14 +125,21 @@ def build(input_path: Path, fetched_path: Path, out_dir: Path) -> dict:
             "id": row["id"], "url": found["url"], "subsite": found["subsite"],
             "title": found["title"], "date": found["date"], "license": row["license"],
         })
+    if mismatched:
+        raise SystemExit(f"{len(mismatched)} rows where the review and the \"Źródło:\" match disagree: {mismatched[:5]}")
+    if missing := sorted(review.keys() - seen):
+        raise SystemExit(f"{len(missing)} reviewed ids are not in the input or are PAP reprints: {missing[:5]}")
 
     stats = {
         **BUILD_STATS, "drop_pap": sum(dropped.values()), "drop_pap_by_rule": dict(dropped),
+        "drop_third_party": sum(dropped_third_party.values()),
+        "drop_third_party_by_reason": dict(sorted(dropped_third_party.items())),
         "kept": len(kept),
         "chars": sum(len(r["text"]) for r in kept), "tokens": sum(r["token_count"] for r in kept),
         "licenses": dict(Counter(r["license"] for r in kept)),
         "authors_with_value": sum(bool(r["author"]) for r in kept), "license": "CC-BY-SA-4.0",
         "input_rows": table.num_rows, "input_sha256": INPUT_SHA256, "fetched_sha256": FETCHED_SHA256,
+        "review_sha256": REVIEW_SHA256,
     }
     build_drops = sum(v for k, v in BUILD_STATS.items() if k.startswith("drop_"))
     if stats["read"] - build_drops != table.num_rows:
@@ -117,9 +163,10 @@ def main() -> None:
     parser = argparse.ArgumentParser(description=__doc__.split("\n")[0])
     parser.add_argument("--input", type=Path, default=DATA / f"{SOURCE}.parquet")
     parser.add_argument("--fetched", type=Path, required=True, help="govpl.jsonl.zst from fetch_govpl.py")
+    parser.add_argument("--review", type=Path, default=DATA / f"{SOURCE}.third-party-review.csv")
     parser.add_argument("--out", type=Path, default=DATA)
     args = parser.parse_args()
-    print(json.dumps(build(args.input, args.fetched, args.out), indent=2, ensure_ascii=False))
+    print(json.dumps(build(args.input, args.fetched, args.review, args.out), indent=2, ensure_ascii=False))
 
 
 if __name__ == "__main__":

src/sources.py

@@ -756,29 +756,45 @@ SOURCES = {
                      "https://www.gov.pl/web/gov/prawa-autorskie: \"Treści tekstowe "
                      "publikowane w serwisie … są udostępniane na licencji CC BY-SA "
                      "4.0\"). The same page excludes works whose copyright belongs to "
-                     "third parties; using those needs the owners' consent. "
-                     "Articles crediting PAP are therefore dropped (legal note).",
+                     "third parties; using those needs the owners' consent. Articles "
+                     "crediting PAP and other third-party texts are therefore "
+                     "dropped (legal note).",
         "upstream": "https://www.gov.pl/",
         "provenance": "Ministry/agency press releases fetched directly from gov.pl "
                       "(editor-content per article, HTML stripped) by "
                       "src/fetch_govpl.py. Subsites + their non-uniform news-section "
                       "paths are enumerated by src/discover_govpl.py into the "
                       "committed manifest src/govpl_subsites.json (gov.pl has no "
-                      "sitemap/API). v0.2.6 removes PAP reprints from the v0.2.5 "
+                      "sitemap/API). v0.2.6 removes PAP reprints and the third-party "
+                      "texts listed in govpl.third-party-review.csv from the v0.2.5 "
                       "Parquet with src/clean_govpl.py, which also writes "
                       "govpl.attribution.jsonl: each row's gov.pl URL, subsite, "
                       "title and date.",
         "legal_note": "gov.pl's copyright page carves out \"utwory, co do których "
                       "prawa autorskie przysługują osobom trzecim\" from its CC BY-SA "
-                      "4.0 grant. Articles crediting PAP (Polish Press Agency) as their "
-                      "source are such works, so 188 are dropped (rule "
+                      "4.0 grant. Articles crediting PAP (Polish Press Agency) as "
+                      "their source are such works, so 188 are dropped (rule "
                       "fetch_govpl.pap_rule, applied by src/clean_govpl.py): a "
                       "\"Źródło:\" line naming PAP (163), \"Na podst. … PAP\" (22), a "
-                      "\"(PAP)\" sign-off line (2) and one PAP interview transcript (1). "
-                      "PAP photo credits and articles that only quote or mention PAP "
-                      "stay. Other third-party text is not screened: 710 kept articles "
-                      "carry a \"Źródło:\" line naming some other source; they were "
-                      "not reviewed.",
+                      "\"(PAP)\" sign-off line (2) and one PAP interview transcript "
+                      "(1). PAP photo credits and articles that only quote or "
+                      "mention PAP stay. Other third-party text was reviewed in "
+                      "v0.2.6 (our assessment, src/clean_govpl.py with "
+                      "govpl.third-party-review.csv): every other article with a "
+                      "\"Źródło:\" line (710) was classified by the source the line "
+                      "credits, and interview and reprint rules found 6 more. 186 "
+                      "are dropped: 13 whose text is credited, wholly or partly, to "
+                      "a news portal, news agency, broadcaster or magazine, 167 "
+                      "whose text is credited, wholly or partly, to a source other "
+                      "than a public office (for example an NGO, an international or "
+                      "EU body, a company, a university, a museum or another "
+                      "website) and 6 interviews and reprints from other outlets "
+                      "(one names no outlet). The 530 that stay credit their text to "
+                      "a public office (436) or credit only data, a chart, a "
+                      "reference or a quotation (94). Teasers that quote a "
+                      "third-party interview and point to it stay. Articles that "
+                      "match none of these rules were checked on a seeded sample of "
+                      "200; none was a third-party text.",
         "domain": "government",
         # actual min/max of article dates in the fetched corpus (90,124 dated).
         "created": "2005-09-26, 2026-07-19",

src/test_govpl_contract.py

@@ -1,8 +1,10 @@
 """TDD contract for the direct gov.pl (press releases) ingestion path."""
+import csv
 import json
 import re
 import sys
 import unittest
+from collections import Counter
 from pathlib import Path
 
 import pyarrow.parquet as pq
@@ -10,11 +12,13 @@ import pyarrow.parquet as pq
 sys.path.insert(0, str(Path(__file__).resolve().parent))
 
 from discover_govpl import listing_articles, news_candidates, max_page
+from clean_govpl import REVIEW_REASONS, ZRODLO
 from fetch_govpl import article_body, normalize, pap_rule, BASE
+from sources import SOURCES
 
 DATA = Path(__file__).resolve().parents[1] / "data" / "govpl"
 ISSUE_51_RULE = re.compile(r"(?i)\bźr[óo]d[łl]o\s*:\s*/?[^\n]{0,60}\bPAP\b")  # polish-dynaword-v2#51
-RELEASED_ROWS = 88002  # 88,190 in v0.2.5 minus 188 PAP reprints
+RELEASED_ROWS = 87816  # 88,190 in v0.2.5 minus 188 PAP reprints and 186 other third-party texts (v2#106)
 
 LISTING = """
 <div class="art-prev">
@@ -115,6 +119,14 @@ class GovplContractTest(unittest.TestCase):
         ):
             self.assertIsNone(pap_rule(text), text)
 
+    def test_zrodlo_line_rule(self):
+        for text in ("Tekst.\n\nŹródło: MSWiA", "Zródło: KPRM", "żródło : gov.pl", "Źródła: GUS, MZ",
+                     "Źródło informacji: Policja", "ŹRÓDŁO: WHO"):
+            self.assertRegex(text, ZRODLO)
+        for text in ("Źródło MSWiA", "Źródłem danych jest GUS.", "źródło finansowania: budżet",
+                     "Ogólnoźródło: x", "u źródeł: rzeka"):
+            self.assertNotRegex(text, ZRODLO)
+
     def test_normalize_drops_pap_reprint(self):
         art = {"url": "/web/kultura/x", "title": "Nagłówek", "date": "14.07.2026"}
         reprint = ARTICLE.replace("</p>", "</p><p>Źródło: /PAP, MKiDN/</p>", 1)
@@ -123,7 +135,7 @@ class GovplContractTest(unittest.TestCase):
 
 
 class GovplReleaseContractTest(unittest.TestCase):
-    """The released files: PAP reprints gone, stats and URL sidecar match the Parquet."""
+    """The released files: PAP reprints and reviewed third-party texts gone, stats and URL sidecar match the Parquet."""
 
     @classmethod
     def setUpClass(cls):
@@ -131,18 +143,33 @@ class GovplReleaseContractTest(unittest.TestCase):
         cls.stats = json.loads((DATA / "govpl.stats.json").read_text(encoding="utf-8"))
         with (DATA / "govpl.attribution.jsonl").open(encoding="utf-8") as stream:
             cls.sidecar = [json.loads(line) for line in stream]
+        with (DATA / "govpl.third-party-review.csv").open(encoding="utf-8", newline="") as stream:
+            cls.review = list(csv.DictReader(stream))
 
     def test_no_pap_reprints(self):
         texts = self.table.column("text").to_pylist()
         self.assertEqual([t for t in texts if ISSUE_51_RULE.search(t)], [])
         self.assertEqual([t for t in texts if pap_rule(t)], [])
 
+    def test_third_party_review_is_applied(self):
+        ids, texts = self.table.column("id").to_pylist(), self.table.column("text").to_pylist()
+        keep = {r["id"] for r in self.review if r["decision"] == "keep"}
+        drop = {r["id"] for r in self.review if r["decision"] == "drop"}
+        self.assertEqual(len(keep) + len(drop), len(self.review))
+        self.assertEqual({i for i, t in zip(ids, texts) if ZRODLO.search(t)}, keep)
+        self.assertEqual(drop & set(ids), set())
+        for r in self.review:
+            self.assertIn(r["reason"], REVIEW_REASONS[r["decision"]], r)
+        by_reason = Counter(r["reason"] for r in self.review if r["decision"] == "drop")
+        self.assertEqual(self.stats["drop_third_party_by_reason"], dict(by_reason))
+        self.assertEqual(self.stats["drop_third_party"], len(drop))
+
     def test_row_count_and_stats(self):
         st = self.stats
         self.assertEqual(self.table.num_rows, RELEASED_ROWS)
         self.assertEqual(st["kept"], RELEASED_ROWS)
         self.assertEqual(st["drop_pap"], sum(st["drop_pap_by_rule"].values()))
-        self.assertEqual(st["input_rows"] - st["drop_pap"], st["kept"])
+        self.assertEqual(st["input_rows"] - st["drop_pap"] - st["drop_third_party"], st["kept"])
         drops = sum(v for k, v in st.items() if k.startswith("drop_") and isinstance(v, int))
         self.assertEqual(st["read"] - drops, st["kept"])
         self.assertEqual(st["tokens"], sum(self.table.column("token_count").to_pylist()))
@@ -155,7 +182,10 @@ class GovplReleaseContractTest(unittest.TestCase):
         st, md = self.stats, (DATA / "govpl.md").read_text(encoding="utf-8")
         self.assertIn(f"| {st['kept']:,} | {st['chars']:,} | {st['tokens']:,} |", md)
         self.assertIn(f"drop PAP reprints: **{st['drop_pap']:,}**", md)
+        self.assertIn(f"drop other third-party texts: **{st['drop_third_party']:,}**", md)
         self.assertIn(f"read {st['input_rows']:,} → kept {st['kept']:,}", md)
+        for key in ("traceable", "provenance", "legal_note"):
+            self.assertIn(SOURCES["govpl"][key], md, key)
 
     def test_sidecar_gives_every_row_a_govpl_url(self):
         self.assertEqual([a["id"] for a in self.sidecar], self.table.column("id").to_pylist())