Add CC BY 4.0 Polish OpenStax academic textbooks (#23)

- Add CC BY 4.0 Polish OpenStax academic textbooks (53d9073fd374adb46bad1401dcb1af24e1a0a71b)
- Address review: per-book license links, translation status, normalization, PII (4419a47b0a4143b6dbd0d23a195b530c0e7b908a)


Co-authored-by: Piotr Styla <PiotrSty@users.noreply.huggingface.co>

artifacts/openstax_pl_ontology_manifest.json

@@ -0,0 +1,688 @@
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+            "text_preview": "Chcesz wiedzieć więcej?\n\nAmerican Diabetes Association. (2023). Recipes & nutrition.\n\nAmerican Thyroid Association. (2023). Iodine deficiency.\n\nBabiker, A., Alawi, A., Al Atawi, M., & Al Alwan, I. (2020). The role of micronutrients in thyroid dysfunction. Sudanese Journal of Paediatrics, 20(1), 13–19.\n\nCenters for Disease Control and Prevention. (2022). Eat well.\n\nCenters for Disease Control and P",
+            "url": "https://openstax.org/books/zywienie/pages/4-chcesz-wiedziec-wiecej"
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+            "text_preview": "Chcesz wiedzieć więcej?\n\nAbdou, M. (September 29, 2019). Nutrition and Blood.\n\nAmerican Academy of Pediatrics Healthy Children Nutrition. (n.d.). Ages i Stages.\n\nCenters for Disease Control and Prevention. (2021, November 16). Iron. Infant and Toddler Nutrition.\n\nCenters for Disease Control and Prevention. (n.d.). What is Vitamin K Deficiency Bleeding?\n\nHarvard T.H. Chan School of Public Health. (",
+            "url": "https://openstax.org/books/zywienie/pages/5-chcesz-wiedziec-wiecej"
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+            "text_preview": "Chcesz wiedzieć więcej?\n\nAmerican Heart Association. (2022). 2022 heart disease & stroke statistical update fact sheet: Global burden of disease.\n\nAmerican Heart Association. (2022). Diet change may make biggest impact on reducing heart risk in people with hypertension.\n\nAmerican Heart Association. (2022). FAQ: Hands-only CPR.\n\nAmerican Heart Association. (2023). Hands-only CPR training.\n\nGupta, N",
+            "url": "https://openstax.org/books/zywienie/pages/6-chcesz-wiedziec-wiecej"
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+            "url": "https://openstax.org/books/zywienie/pages/7-chcesz-wiedziec-wiecej"
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+            "title": "Add CC0 Polish Common Voice validated text (v26.0)"
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+            "num": 12,
+            "status": "merged",
+            "title": "feat(data): european_hplt_v3_pl expansion WDS bins 10-5 (+1.49M docs / 2.04B tok)"
+          },
+          {
+            "is_pull_request": true,
+            "num": 11,
+            "status": "merged",
+            "title": "feat(data): add biblioteka_nauki source (42,071 docs, per-document license + attribution)"
+          },
+          {
+            "is_pull_request": true,
+            "num": 10,
+            "status": "merged",
+            "title": "Complete v0.2.3 phrase-frequency report + register drifted sources + AGENTS.md"
+          },
+          {
+            "is_pull_request": true,
+            "num": 9,
+            "status": "merged",
+            "title": "Add source: govpl (gov.pl government press releases)"
+          },
+          {
+            "is_pull_request": true,
+            "num": 8,
+            "status": "merged",
+            "title": "Add source: nkjp1m"
+          },
+          {
+            "is_pull_request": true,
+            "num": 7,
+            "status": "merged",
+            "title": "feat(data): add reviewed Global Voices Polish corpus"
+          },
+          {
+            "is_pull_request": true,
+            "num": 6,
+            "status": "merged",
+            "title": "SJP.PL"
+          },
+          {
+            "is_pull_request": true,
+            "num": 5,
+            "status": "merged",
+            "title": "Add source: european_hplt_v3_pl (HPLT v3.0 Polish, top WDS bins, CC0)"
+          },
+          {
+            "is_pull_request": true,
+            "num": 4,
+            "status": "merged",
+            "title": "Release v0.3.1 Europeana preview shard"
+          },
+          {
+            "is_pull_request": true,
+            "num": 3,
+            "status": "merged",
+            "title": "Document live source-gate validation"
+          },
+          {
+            "is_pull_request": false,
+            "num": 2,
+            "status": "open",
+            "title": "An absolute joy to see!"
+          },
+          {
+            "is_pull_request": true,
+            "num": 1,
+            "status": "merged",
+            "title": "Add source: 1000_novels (1000 Novels Corpus, CLARIN-PL, CC BY 4.0)"
+          }
+        ],
+        "files": [
+          ".gitattributes",
+          ".gitignore",
+          "AGENTS.md",
+          "BLOGPOST.md",
+          "CHANGELOG.md",
+          "LICENSE",
+          "PAPER.md",
+          "README.md",
+          "artifacts/bartek_source_ingestion_plan_2026-07-02.md",
+          "artifacts/dataset_size_by_version.png",
+          "artifacts/hf_readmes/PleIAs__Polish-PD__README.md",
+          "artifacts/hf_readmes/PleIAs__common_corpus__README.md",
+          "artifacts/hf_readmes/WiktorS__polish-news__README.md",
+          "artifacts/hf_readmes/allegro__polish-question-passage-pairs__README.md",
+          "artifacts/hf_readmes/allegro__summarization-polish-summaries-corpus__README.md",
+          "artifacts/hf_readmes/ashtok897__european-hplt-v1__README.md",
+          "artifacts/hf_readmes/clarin-knext__wsd_polish_datasets__README.md",
+          "artifacts/hf_readmes/clarin-pl__ComplexQA__README.md",
+          "artifacts/hf_readmes/clarin-pl__PUGG__README.md",
+          "artifacts/hf_readmes/clarin-pl__poquad__README.md",
+          "artifacts/hf_readmes/ipipan__polqa__README.md",
+          "artifacts/hf_readmes/michaljunczyk__pl-asr-bigos__README.md",
+          "artifacts/hf_readmes/openlanguagedata__flores_plus__README.md",
+          "artifacts/hf_readmes/oscar-corpus__OSCAR-2301__README.md",
+          "artifacts/hf_readmes/oscar-corpus__mOSCAR__README.md",
+          "artifacts/hf_readmes/pelcra__PLLuMIC__README.md",
+          "artifacts/hf_readmes/ptaszynski__PolishCyberbullyingDataset__README.md",
+          "artifacts/pattern_frequency_artykul.png",
+          "artifacts/pattern_frequency_dzu.png",
+          "artifacts/pattern_frequency_hf_snippet.md",
+          "artifacts/pattern_frequency_klasyfikacji.png",
+          "artifacts/pattern_frequency_mieszkańców.png",
+          "artifacts/pattern_frequency_overall.png",
+          "artifacts/pattern_frequency_parlament.png",
+          "artifacts/pattern_frequency_rozporządzenie.png",
+          "artifacts/pattern_frequency_ustawa.png",
+          "artifacts/pattern_frequency_w_pobliżu.png",
+          "artifacts/pattern_frequency_w_roku.png",
+          "artifacts/sejm_api_ontology_manifest.json",
+          "artifacts/source_candidate_audit_v0_3.json",
+          "artifacts/source_candidate_audit_v0_3.md",
+          "artifacts/source_findings.md",
+          "artifacts/source_license_review_v0_3.md",
+          "artifacts/source_scouting_v0_3.md",
+          "artifacts/training_mix_v0_3.json",
+          "artifacts/training_mix_v0_3.md",
+          "configs/source_candidates_v0_3.json",
+          "configs/training_mix_v0_3.json",
+          "data/1000_novels/1000_novels.md",
+          "data/1000_novels/1000_novels.parquet",
+          "data/1000_novels/1000_novels.stats.json",
+          "data/biblioteka_nauki/biblioteka_nauki.md",
+          "data/biblioteka_nauki/biblioteka_nauki.parquet",
+          "data/biblioteka_nauki/biblioteka_nauki.stats.json",
+          "data/biblioteka_nauki/recover_attribution.py",
+          "data/biblioteka_nauki/recover_licenses.py",
+          "data/dziennik_ustaw/dziennik_ustaw.md",
+          "data/dziennik_ustaw/dziennik_ustaw.parquet",
+          "data/dziennik_ustaw/dziennik_ustaw.stats.json",
+          "data/eltec_pol/eltec_pol.md",
+          "data/eltec_pol/eltec_pol.parquet",
+          "data/eltec_pol/eltec_pol.stats.json",
+          "data/eurlex/eurlex.md",
+          "data/eurlex/eurlex.parquet",
+          "data/eurlex/eurlex.stats.json",
+          "data/european_hplt_v3_pl/european_hplt_v3_pl.md",
+          "data/european_hplt_v3_pl/european_hplt_v3_pl.parquet",
+          "data/european_hplt_v3_pl/european_hplt_v3_pl.stats.json",
+          "data/global_voices/NOTICE.md",
+          "data/global_voices/global_voices.attribution.jsonl",
+          "data/global_voices/global_voices.md",
+          "data/global_voices/global_voices.parquet",
+          "data/global_voices/global_voices.stats.json",
+          "data/govpl/govpl.md",
+          "data/govpl/govpl.parquet",
+          "data/govpl/govpl.stats.json",
+          "data/nkjp1m/nkjp1m.md",
+          "data/nkjp1m/nkjp1m.parquet",
+          "data/nkjp1m/nkjp1m.stats.json",
+          "data/parliamentary/parliamentary.md",
+          "data/parliamentary/parliamentary.parquet",
+          "data/parliamentary/parliamentary.stats.json",
+          "data/samorzad_gov_pl/NOTICE.md",
+          "data/samorzad_gov_pl/samorzad_gov_pl.attribution.jsonl",
+          "data/samorzad_gov_pl/samorzad_gov_pl.license-evidence.json",
+          "data/samorzad_gov_pl/samorzad_gov_pl.md",
+          "data/samorzad_gov_pl/samorzad_gov_pl.parquet",
+          "data/samorzad_gov_pl/samorzad_gov_pl.stats.json",
+          "data/sejm_api/NOTICE.md",
+          "data/sejm_api/sejm_api.attribution.jsonl",
+          "data/sejm_api/sejm_api.license-evidence.json",
+          "data/sejm_api/sejm_api.md",
+          "data/sejm_api/sejm_api.parquet",
+          "data/sejm_api/sejm_api.stats.json",
+          "data/wikibooks/wikibooks.md",
+          "data/wikibooks/wikibooks.parquet",
+          "data/wikibooks/wikibooks.stats.json",
+          "data/wikinews/wikinews.md",
+          "data/wikinews/wikinews.parquet",
+          "data/wikinews/wikinews.stats.json",
+          "data/wikipedia/wikipedia.md",
+          "data/wikipedia/wikipedia.parquet",
+          "data/wikipedia/wikipedia.stats.json",
+          "data/wikiquote/wikiquote.md",
+          "data/wikiquote/wikiquote.parquet",
+          "data/wikiquote/wikiquote.stats.json",
+          "data/wikisource/wikisource.md",
+          "data/wikisource/wikisource.parquet",
+          "data/wikisource/wikisource.stats.json",
+          "data/wikivoyage/wikivoyage.md",
+          "data/wikivoyage/wikivoyage.parquet",
+          "data/wikivoyage/wikivoyage.stats.json",
+          "data/wiktionary_examples/wiktionary_examples.md",
+          "data/wiktionary_examples/wiktionary_examples.parquet",
+          "data/wiktionary_examples/wiktionary_examples.stats.json",
+          "data/wolne_lektury/wolne_lektury.md",
+          "data/wolne_lektury/wolne_lektury.parquet",
+          "data/wolne_lektury/wolne_lektury.stats.json",
+          "pattern_frequency_report.md",
+          "previews/v0.3.1/europeana.parquet",
+          "previews/v0.3.1/europeana.stats.json",
+          "src/__pycache__/fetch_sejm_api.cpython-311.pyc",
+          "src/build_dynaword.py",
+          "src/clean_hplt_v3.py",
+          "src/clean_samorzad_gov_pl.py",
+          "src/compare_tokenizers.py",
+          "src/count_vocab.py",
+          "src/discover_govpl.py",
+          "src/eval_bpb.py",
+          "src/fetch_eli.py",
+          "src/fetch_eltec.py",
+          "src/fetch_europeana.py",
+          "src/fetch_govpl.py",
+          "src/fetch_njkp.py",
+          "src/fetch_sejm_api.py",
+          "src/fetch_sejm_interpellations.py",
+          "src/fetch_wikimedia.py",
+          "src/fetch_wiktionary_examples.py",
+          "src/filter_common_corpus.py",
+          "src/filter_european_hplt.py",
+          "src/govpl_subsites.json",
+          "src/html_text.py",
+          "src/launch_hplt_parallel.py",
+          "src/make_docs.py",
+          "src/make_linkedin_card.py",
+          "src/make_training_mix.py",
+          "src/normalize_schema.py",
+          "src/pattern_frequency_report.py",
+          "src/plot_version_growth.py",
+          "src/review_source_candidates.py",
+          "src/rights.py",
+          "src/samorzad_gov_pl_publishers.json",
+          "src/sample_quality.py",
+          "src/scrub_entities.py",
+          "src/scrub_pii.py",
+          "src/sources.py",
+          "src/test_europeana_contract.py",
+          "src/test_govpl_contract.py",
+          "src/test_hplt_v3_contract.py",
+          "src/test_samorzad_gov_pl_contract.py",
+          "src/test_scrub_entities.py",
+          "src/test_scrub_pii.py",
+          "src/test_sejm_api_contract.py",
+          "src/test_sejm_interpellations_contract.py",
+          "src/tokenize_shards.py",
+          "src/train_bpe.py"
+        ],
+        "observed_at": "2026-09-05T15:00:35.420713+00:00",
+        "registry_sha256": "68a4f279f90bd060701966bd8d621ee07d0880e7edb44e10b75e506df8b82cc3",
+        "repository": "SlayerLab/polish-dynaword",
+        "revision": "a916edecabc2be8832e08fb2bd9dfafcc1d2dd71",
+        "source_key_absent": true
+      },
+      "run_id": "slayer://run/openstax_pl@sha256:9a9716eb238207c10dac3fe2dbf7c236bf0b250cbaf5cc106f601a10c5c84a11",
+      "subject_version": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4"
+    }
+  ],
+  "object": {
+    "id": "slayer://object/dataset-source/openstax_pl",
+    "kind": "dataset_source",
+    "name": "openstax_pl"
+  },
+  "ontology_version": "slayer.ai/research-ontology/v0.1",
+  "protocol": {
+    "id": "slayer://object/protocol/openstax_pl",
+    "kind": "dataset_processing",
+    "specification": {
+      "code_sha256": "33409f7e4fee6dacc7e1baca573bcf867220c11a74c9458c2ebf7413c2fe776d",
+      "dedup": "casefolded whitespace-normalized exact; seeded MinHashLSH and exact five-word-shingle Jaccard >=0.9",
+      "dependencies": {
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+        "datasketch": "1.6.5",
+        "langid": "1.1.6",
+        "mathml-to-latex": "1.0.0",
+        "pyarrow": "23.0.1",
+        "requests": "2.32.5",
+        "tiktoken": "0.12.0"
+      },
+      "entrypoint": "python src/build_openstax_pl.py --output WORK build",
+      "input": "source_pages.jsonl + inventory.json",
+      "normalization": "NFKC, paragraph whitespace; preserve math; exclude media and frontmatter/index/bibliography/answer-key pages",
+      "privacy": "email and labelled-phone redaction",
+      "quality": "minimum 200 chars; letter ratio >=0.35; langid eight-language check; drop non-Polish confidence >=0.99",
+      "tokenizer": "cl100k_base"
+    },
+    "version": {
+      "created_at": "2026-09-05T15:28:14.492261+00:00",
+      "created_by": "agent:codex",
+      "digest": "sha256:71d86b02ec12e6ddb35e6676ac45bee6811e86a1b70650bce684a4e4702ebd05",
+      "id": "slayer://version/protocol/openstax_pl@sha256:71d86b02ec12e6ddb35e6676ac45bee6811e86a1b70650bce684a4e4702ebd05",
+      "object_id": "slayer://object/protocol/openstax_pl",
+      "payload_uri": "hf://datasets/PiotrSty/openstax-pl-textbooks@5b31f74eb3733b330c6093dabc919fe304f6ef6f/src/build_openstax_pl.py"
+    }
+  },
+  "relations": [
+    {
+      "introduced_by_run": "slayer://run/openstax_pl@sha256:9a9716eb238207c10dac3fe2dbf7c236bf0b250cbaf5cc106f601a10c5c84a11",
+      "predicate": "DERIVED_FROM",
+      "source_version_id": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4",
+      "target_version_id": "slayer://version/source-snapshot/openstax_pl@sha256:3db15d99045512f2290d87ecef97a53ad6d1d72b7ed53cff194962ef68274aa3"
+    },
+    {
+      "introduced_by_run": "slayer://run/openstax_pl@sha256:9a9716eb238207c10dac3fe2dbf7c236bf0b250cbaf5cc106f601a10c5c84a11",
+      "predicate": "FILTERED_BY",
+      "source_version_id": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4",
+      "target_version_id": "slayer://version/protocol/openstax_pl@sha256:71d86b02ec12e6ddb35e6676ac45bee6811e86a1b70650bce684a4e4702ebd05"
+    },
+    {
+      "introduced_by_run": "slayer://run/openstax_pl@sha256:9a9716eb238207c10dac3fe2dbf7c236bf0b250cbaf5cc106f601a10c5c84a11",
+      "predicate": "COMPATIBLE_WITH",
+      "source_version_id": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4",
+      "target_version_id": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+    }
+  ],
+  "run": {
+    "actor_id": "agent:codex",
+    "code_sha256": "33409f7e4fee6dacc7e1baca573bcf867220c11a74c9458c2ebf7413c2fe776d",
+    "finished_at": "2026-09-05T15:30:10.526437+00:00",
+    "id": "slayer://run/openstax_pl@sha256:9a9716eb238207c10dac3fe2dbf7c236bf0b250cbaf5cc106f601a10c5c84a11",
+    "input_sha256": "0663c1c29536de555006317a97807202ac99aa3acb8e744895f10035ebdd3ad7",
+    "inputs": [
+      {
+        "role": "source_snapshot",
+        "version_id": "slayer://version/source-snapshot/openstax_pl@sha256:3db15d99045512f2290d87ecef97a53ad6d1d72b7ed53cff194962ef68274aa3"
+      }
+    ],
+    "outputs": [
+      {
+        "role": "dataset",
+        "version_id": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4"
+      }
+    ],
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+      "beautifulsoup4": "4.14.3",
+      "datasketch": "1.6.5",
+      "langid": "1.1.6",
+      "mathml-to-latex": "1.0.0",
+      "pyarrow": "23.0.1",
+      "requests": "2.32.5",
+      "tiktoken": "0.12.0"
+    },
+    "platform": "Windows-10-10.0.26200-SP0",
+    "protocol_version_id": "slayer://version/protocol/openstax_pl@sha256:71d86b02ec12e6ddb35e6676ac45bee6811e86a1b70650bce684a4e4702ebd05",
+    "python": "3.11.9",
+    "requested_by": "hf:PiotrSty",
+    "started_at": "2026-09-05T15:28:14.492261+00:00"
+  },
+  "schema_version": "slayer.ai/dataset-source-contribution/v1",
+  "source_object": {
+    "id": "slayer://object/source-snapshot/openstax_pl",
+    "kind": "source_snapshot",
+    "name": "Eight Polish OpenStax editions"
+  },
+  "source_version": {
+    "created_at": "2026-09-05T15:28:14.492261+00:00",
+    "created_by": "agent:codex",
+    "digest": "sha256:3db15d99045512f2290d87ecef97a53ad6d1d72b7ed53cff194962ef68274aa3",
+    "id": "slayer://version/source-snapshot/openstax_pl@sha256:3db15d99045512f2290d87ecef97a53ad6d1d72b7ed53cff194962ef68274aa3",
+    "object_id": "slayer://object/source-snapshot/openstax_pl",
+    "payload_uri": "hf://datasets/PiotrSty/openstax-pl-textbooks@5b31f74eb3733b330c6093dabc919fe304f6ef6f/artifacts/source_pages.jsonl.gz"
+  },
+  "version": {
+    "created_at": "2026-09-05T15:30:10.526437+00:00",
+    "created_by": "agent:codex",
+    "digest": "sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4",
+    "id": "slayer://version/dataset-source/openstax_pl@sha256:b34fea9a5ad195251eb51f2a10cb103fcc3a0d57a4ecfb3f6adc364c4915b3e4",
+    "object_id": "slayer://object/dataset-source/openstax_pl",
+    "payload_uri": "hf://datasets/PiotrSty/openstax-pl-textbooks@5b31f74eb3733b330c6093dabc919fe304f6ef6f/data/train-00000-of-00001.parquet"
+  }
+}

artifacts/source_findings.md

@@ -816,3 +816,35 @@ cross-source dedup and benchmark checks.
 would CREATE whole-file rewrites; the minimal-diff rule is "match main", and the
 repo-wide normalization is maintainer work; (2) the entry shipped without
 `added`/`release` — the registry contract check belongs in the contract test.
+
+---
+
+## openstax_pl — OpenStax Poland textbooks (8 volumes)
+
+**Investigated** — 2026-09-05 (review round 2026-09-28).
+
+**Verdict** — `added` (proposed with `release: None`). 1,422 pages / 4.63M
+`cl100k_base` tokens of Polish academic textbook prose (physics ×3, psychology,
+micro/macro, marketing, nutrition) — **human translations of the English
+OpenStax originals** by named academics.
+
+**Enumeration** — openstax.org book containers (Rex/Connexions HTML) via
+openstax.pl catalog; 1,612 pages discovered, 1,422 retained (each with a
+decision; MathML-conversion failures rejected). Pinned snapshot
+`PiotrSty/openstax-pl-textbooks@5b31f74e`.
+
+**License evidence** — verified AT THE ORIGIN per book: each Polish edition's
+foreword page (openstax.org/books/<slug>/pages/przedmowa) states the CC BY 4.0
+grant with the attribution condition "uznania autorstwa OpenStax i osób
+podpisanych pod oryginałem"; links per book in the datasheet/PR, excerpts +
+sha256 preserved in `books.json`.
+
+**Blockers** — none to merge with `release: None`. Before release: NERGAL pass
+(two-pattern redaction only; spot check of 60 was fully clean), cross-source
+dedup and benchmark checks (exercises/tables may reference omitted figures).
+
+**Lesson** — for translated editions, "by whom" is a licensable-quality question:
+the foreword credits (named translators per chapter) are the evidence — pin
+them per record (`edition_contributors`) instead of asserting "translated" in
+the abstract. Same for MT: state its absence explicitly when the credits are
+human.

data/openstax_pl/NOTICE.md

@@ -0,0 +1,14 @@
+# Attribution
+
+Text: CC BY 4.0, https://creativecommons.org/licenses/by/4.0/.
+
+- Fizyka dla szkół wyższych. Tom 1: William Moebs; Samuel J. Ling; Jeff Sanny; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/fizyka-dla-szkół-wyższych-tom-1/pages/przedmowa
+- Fizyka dla szkół wyższych. Tom 2: William Moebs; Samuel J. Ling; Jeff Sanny; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/fizyka-dla-szkół-wyższych-tom-2/pages/przedmowa
+- Fizyka dla szkół wyższych. Tom 3: William Moebs; Samuel J. Ling; Jeff Sanny; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/fizyka-dla-szkół-wyższych-tom-3/pages/przedmowa
+- Makroekonomia - Podstawy: David Shapiro; Daniel MacDonald; Steven A. Greenlaw; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/makroekonomia-podstawy/pages/przedmowa
+- Marketing - Podstawy: Maria Gomez Albrecht; Mark Green; Linda Hoffman; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/marketing-podstawy/pages/przedmowa
+- Mikroekonomia – Podstawy: Steven A. Greenlaw; David Shapiro; Waldemar Karpa; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/mikroekonomia-podstawy/pages/przedmowa
+- Psychologia: Rose M. Spielman; William J. Jenkins; Marilyn D. Lovett; Joanna Czarnota-Bojarska; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/psychologia-polska/pages/przedmowa
+- Pielęgniarstwo. Żywienie w wybranych stanach klinicznych: Iwona Bodys-Cupak, dr hab. n. o zdr.; Anna Felińczak, dr n. med.; Iwona Malinowska-Lipień, dr hab.; Monika Michalak, dr n. o zdr.; Mirosława Noppenberg, dr n. o zdr.; ​​Lucyna Płaszewska-Żywko, dr n. med.; Lucyna Ścisło, dr hab. n. med. i n. o zdr.; Emerald Charity Bilbrew; Jody Vogelzang; Kelli Whittington; OpenStax Poland and edition contributors. Full contributor credits: https://openstax.org/books/zywienie/pages/przedmowa
+
+Preparation: Piotr Styla with OpenAI Codex. Changes: HTML prose extraction, media omission, Unicode/whitespace normalization, formula conversion, pattern redaction, quality filtering and deduplication. No endorsement by OpenStax is implied. Original forewords and page URLs are preserved in artifacts/books.json and attribution.jsonl.

data/openstax_pl/openstax_pl.attribution.jsonl

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data/openstax_pl/openstax_pl.md

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+# OpenStax Poland academic textbooks
+
+Text-only research contribution from eight Polish textbook volumes: physics
+(three volumes), psychology, microeconomics, macroeconomics, marketing and nutrition.
+
+- Discovered pages: 1,612
+- Retained documents: 1,422
+- Tokens: 4,632,374 (`cl100k_base` proxy, measured on retained text)
+- Characters: 12,375,066
+- License: CC BY 4.0, documented separately in each preserved Polish foreword.
+- Snapshot payload commit: `5b31f74eb3733b330c6093dabc919fe304f6ef6f`
+
+## Attribution and source
+
+See NOTICE.md and artifacts/books.json for book authors, Polish edition contributor
+credits, source URLs and book-specific license evidence. This is a snapshot of the
+eight recorded Polish editions, not a blanket license assertion for all OpenStax books.
+Sources: https://openstax.pl/podreczniki and https://openstax.org/books/.
+
+## License at the origin — per book
+
+The CC BY 4.0 grant is stated **on each edition's own foreword page** (verified
+live; the exact pages and their excerpts are preserved in `books.json` as
+`foreword_url` + `license_evidence`). Per book:
+
+| Book | License statement (foreword) | Catalogue page |
+|---|---|---|
+| Fizyka dla szkół wyższych, t. 1–3 | <https://openstax.org/books/fizyka-dla-szkół-wyższych-tom-1/pages/przedmowa> (…-tom-2, …-tom-3) | <https://openstax.pl/szczegoly-ksiazki?book=Fizyka_dla_szkół_wyższych_tom_1> (…_tom_2, …_tom_3) |
+| Mikroekonomia – Podstawy | <https://openstax.org/books/mikroekonomia-podstawy/pages/przedmowa> | <https://openstax.pl/szczegoly-ksiazki?book=Mikroekonomia–Podstawy> |
+| Makroekonomia – Podstawy | <https://openstax.org/books/makroekonomia-podstawy/pages/przedmowa> | <https://openstax.pl/szczegoly-ksiazki?book=Makroekonomia–Podstawy> |
+| Marketing – Podstawy | <https://openstax.org/books/marketing-podstawy/pages/przedmowa> | <https://openstax.pl/szczegoly-ksiazki?book=Marketing-podstawy> |
+| Psychologia | <https://openstax.org/books/psychologia-polska/pages/przedmowa> | <https://openstax.pl/szczegoly-ksiazki?book=Psychologia> |
+| Pielęgniarstwo. Żywienie… | <https://openstax.org/books/zywienie/pages/przedmowa> | <https://openstax.pl/szczegoly-ksiazki?book=Zywienie> |
+
+Each foreword states the grant ("…jest udostępniana na licencji Creative
+Commons Uznanie autorstwa 4.0 Międzynarodowe", linking
+<https://creativecommons.org/licenses/by/4.0/deed.pl>) with the attribution
+condition "uznania autorstwa OpenStax i osób podpisanych pod oryginałem".
+
+## Translation status
+
+The texts are **Polish translations of the English OpenStax books** (the original
+US authors are cited per book — e.g. Ling / Moebs / Sanny for physics). The
+translations are **human work by named academics**, credited in the preserved
+forewords and per record (`edition_contributors`):
+
+- Mikroekonomia / Makroekonomia — "Tłumaczenia: dr Bożena Horbaczewska, Szkoła
+  Główna Handlowa w Warszawie (rozdziały: …); dr Krystian Jaworski, SGH
+  (rozdziały: …)" — per-chapter credits.
+- Marketing — scientific editing by Lidia Danik (dr hab., prof. SGH), named
+  chapter translations + content additions, Adam Oleksiuk (dr, SGH) credited.
+- Psychologia — "Tłumacze: Anna Czechowska, Nika Fronc-Iniewicz, Magdalena
+  Kroenke, Monika Olasek, Magdalena Skrzypek, Magdalena Szwedowska, Małgorzata
+  Załoga" (technical editing: Patryk Bojarski).
+- Fizyka t. 1–3 — the foreword describes the Polish translation of the OpenStax
+  textbook made for the OpenStax Poland / Katalyst Education effort.
+
+No machine translation is claimed or indicated anywhere in the source material.
+
+## Normalization (steps and before/after)
+
+`src/fetch_openstax_pl.py`, against the preserved source HTML containers:
+
+1. `extract()` — paragraph-preserving extraction from the Rex/Connexions HTML
+   containers: markup, frontmatter, indices, "Bibliografia" pages and standalone
+   answer keys excluded; media omitted (figure `data-alt` descriptions are not
+   kept as prose); MathML converted to TeX via TeX annotations / alttext /
+   mathml-to-latex (pages whose math fails conversion are rejected).
+2. `normalize()` — NFKC; zero-width spaces and soft hyphens removed.
+3. Pattern PII redaction (e-mail, labelled phone -> `[REDACTED:*]`).
+4. Quality gates: every retained page language-checked (langid), exact dedup on
+   normalized text, then seeded MinHashLSH candidates with exact
+   5-word-shingle Jaccard >= 0.9 (candidate retrieval probabilistic).
+
+Before/after (preserved container -> shipped record,
+`openstax_pl_4a74bcce…`, 63,041 -> 15,431 chars) is in the review thread: the
+`os-number`/`os-figure` scaffolding, figure `<img>` blocks and term-markup spans
+disappear; the prose, headings, lists and TeX formulas survive.
+
+## PII scrubber and residual spot check
+
+Scrubber that ran: **pattern redaction in `src/fetch_openstax_pl.py`** (e-mail
+-> `[REDACTED:EMAIL]`, labelled phone -> `[REDACTED:PHONE]`). This is **not**
+[SlayerLab/NERGAL](https://huggingface.co/SlayerLab/NERGAL); the shard must be
+re-run through NERGAL before it is admitted to a release. Merge with
+`release: None` is fine meanwhile.
+
+Spot check (60 of 1,422 records, seed 20260928): **zero hits across all residual
+classes** (no placeholders, e-mail-like strings, digit runs, IBAN-like strings,
+street cues or phone words) — textbook chapters carry author/translator credits,
+which are published attribution, not PII. Residual risk is low here; the
+two-pattern scrubber is why the NERGAL gate stands regardless.
+
+## Reproduction
+
+Install `src/openstax_requirements.txt`. Decompress
+`artifacts/source_pages.jsonl.gz` into WORK/source_pages.jsonl, copy
+`artifacts/books.json` into WORK/inventory.json and copy artifacts/target_audit.json
+into WORK/target_audit.json. Run:
+
+```sh
+python src/fetch_openstax_pl.py --output WORK build
+```
+
+This replays the preserved source containers offline. Live acquisition uses
+`discover`, then `fetch`; it creates a new dated snapshot. Content hashes, exact
+dependency versions, execution timestamps, per-page decisions, checksums and the
+Slayer ontology graph accompany the data.
+
+## Quality and limits
+
+Paragraph-preserving HTML extraction; media, frontmatter, indices, pages named
+Bibliografia and standalone answer keys excluded. Embedded references and further
+reading lists can remain in retained pages. MathML is converted using TeX annotations,
+alttext or mathml-to-latex; pages with conversion failures are excluded. Email and labelled phone
+patterns are redacted. Author names and attributed examples remain.
+
+Every retained page is language-checked. Internal dedup uses normalized exact text
+and seeded MinHashLSH candidates with exact five-word-shingle Jaccard >=0.9.
+MinHash candidate retrieval is probabilistic. Some exercises still refer to omitted
+figures; equations and tables need care in downstream processing.
+
+Corpus-wide DynaWord exact/near dedup and benchmark contamination checks remain
+pending. No claim of wholly new text or improved model quality is made. This is
+a pretraining candidate split, not an evaluation set; exercises require benchmark
+overlap review. Use a capped educational source share in controlled ablations.
+
+## Files
+
+- data/train-00000-of-00001.parquet: canonical DynaWord fields.
+- artifacts/sample.jsonl: 24 deterministic complete documents, three per book.
+- artifacts/attribution.jsonl: per-record URLs, contributors, hashes and changes.
+- artifacts/rejections.jsonl: one decision per excluded page.
+- artifacts/source_pages.jsonl.gz: immutable source content containers.
+- artifacts/books.json: inventory and license evidence.
+- artifacts/stats.json, qa.json, run.json, checksums.json, ontology.json: research evidence.

data/openstax_pl/openstax_pl.parquet

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data/openstax_pl/openstax_pl.qa.json

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+{
+  "benchmark_contamination_check": "pending_target_integration",
+  "cross_source_exact_dedup_completed": false,
+  "cross_source_near_dedup_completed": false,
+  "extraction_operations": {
+    "email": 0,
+    "empty_math_placeholder_removed": 60,
+    "labelled_phone": 0,
+    "math_conversion_failed": 24,
+    "math_spacing_removed": 8948,
+    "mathml_converted_to_latex": 36700,
+    "media_or_ui_blocks": 2861
+  },
+  "language_flags": [
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nBenedetti, J. (2021, December 16). Foods that Fight Inflammation. Harvard Health Publishing. Retrieved May 3, 2023.\n\nCampbell, B. (2021). Calcium Nutrition and Bone Health. Orthoinfo.\n\nCenters for Disease Control and Prevention. (n.d.). Cow’s milk and milk alternatives.\n\nCleveland Clinic. (2022). Vitamin deficiency.\n\nCleveland Clinic. (2023, January 31). What to eat when y",
+      "url": "https://openstax.org/books/zywienie/pages/10-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAlzheimer’s Disease International (2023, June 19).\n\nCortés-Albornoz, M. C., García-Guáqueta, D. P., Velez-van-Meerbeke, A., & Talero-Gutiérrez, C. (2021). Maternal Nutrition and Neurodevelopment: A Scoping Review. Nutrients, 13(10), 3530.\n\nGezmen-Karadag, M., Çelik, E., Kadayifçi, F., Yesildemir, Ö., Öztürk, Y. E., & Agagündüz, D. (2018). Role of food-drug interactions in ",
+      "url": "https://openstax.org/books/zywienie/pages/3-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAmerican Diabetes Association. (2023). Recipes & nutrition.\n\nAmerican Thyroid Association. (2023). Iodine deficiency.\n\nBabiker, A., Alawi, A., Al Atawi, M., & Al Alwan, I. (2020). The role of micronutrients in thyroid dysfunction. Sudanese Journal of Paediatrics, 20(1), 13–19.\n\nCenters for Disease Control and Prevention. (2022). Eat well.\n\nCenters for Disease Control and P",
+      "url": "https://openstax.org/books/zywienie/pages/4-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAbdou, M. (September 29, 2019). Nutrition and Blood.\n\nAmerican Academy of Pediatrics Healthy Children Nutrition. (n.d.). Ages i Stages.\n\nCenters for Disease Control and Prevention. (2021, November 16). Iron. Infant and Toddler Nutrition.\n\nCenters for Disease Control and Prevention. (n.d.). What is Vitamin K Deficiency Bleeding?\n\nHarvard T.H. Chan School of Public Health. (",
+      "url": "https://openstax.org/books/zywienie/pages/5-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAmerican Heart Association. (2022). 2022 heart disease & stroke statistical update fact sheet: Global burden of disease.\n\nAmerican Heart Association. (2022). Diet change may make biggest impact on reducing heart risk in people with hypertension.\n\nAmerican Heart Association. (2022). FAQ: Hands-only CPR.\n\nAmerican Heart Association. (2023). Hands-only CPR training.\n\nGupta, N",
+      "url": "https://openstax.org/books/zywienie/pages/6-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAmerican Lung Association. (2023). COPD Action plan & management tools. Lung health & disease.\n\nBerger, M.M., Shenkin, A., Schweinlin, A., Amrein, K., Augsburger, M., Biesalski, H.K., Bischoff, S.C., Casaer, M.P., Gundogan, K., Lepp, H.L., deMan, A.M., Muscogiuri, G., Pietka, M., Pironi, L., Rezzi, S., & Cuerda, C. (2022). ESPEN micronutrient guideline. Clinical Nutrition,",
+      "url": "https://openstax.org/books/zywienie/pages/7-chcesz-wiedziec-wiecej"
+    },
+    {
+      "confidence": 1.0,
+      "language": "en",
+      "text_preview": "Chcesz wiedzieć więcej?\n\nAllegaert, K., i Iacobelli, S. (2022). Editorial: The developing kidney: Perinatal aspects and relevance throughout life. Frontiers in Pediatrics, 10, 990854.\n\nAmin, R., Thalluir, C., Docea, A., Sharifi-Rad, J., i Calina, D. (2022). Therapeutic potential of cranberry for kidney health and diseases. eFood, 3(5), e33.\n\nAvesani, C., Cardozo, L., Wang, A., Lindholm, B., Stenvi",
+      "url": "https://openstax.org/books/zywienie/pages/8-chcesz-wiedziec-wiecej"
+    }
+  ],
+  "math_policy": "MathML TeX annotation/alttext or mathml-to-latex==1.0.0; remove spacing-only nodes and empty mrow/semantics placeholders; drop pages with failed conversion without guessing missing operands",
+  "ocr": false,
+  "pii_limitations": "Pattern checks are not complete de-identification. Published author names and attributed examples are retained.",
+  "pii_patterns": {
+    "email": 0,
+    "labelled_phone": 0
+  },
+  "protocol": "All retained-page language classifications and deterministic extraction checks",
+  "within_source_near_dedup": {
+    "algorithm": "MinHashLSH candidates threshold 0.8; exact five-word-shingle Jaccard >=0.9",
+    "limitation": "Probabilistic candidate retrieval can miss similar pairs",
+    "num_perm": 128,
+    "removed": 1,
+    "seed": 1
+  },
+  "within_source_normalized_dedup": true
+}

data/openstax_pl/openstax_pl.rejections.jsonl

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+{"book": "fizyka-dla-szkół-wyższych-tom-1", "content_sha256": "fd36274328cf778fd3f32dbbc85bce3fa2ca215e7f838fd35985799d676dfd56", "duplicate_of": null, "reason": "unconverted_math", "url": "https://openstax.org/books/fizyka-dla-szkół-wyższych-tom-1/pages/13-1-prawo-powszechnego-ciazenia"}
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data/openstax_pl/openstax_pl.stats.json

@@ -0,0 +1,30 @@
+{
+  "added": "2026-09-05",
+  "by_book": {
+    "fizyka-dla-szkół-wyższych-tom-1": 230,
+    "fizyka-dla-szkół-wyższych-tom-2": 218,
+    "fizyka-dla-szkół-wyższych-tom-3": 160,
+    "makroekonomia-podstawy": 186,
+    "marketing-podstawy": 230,
+    "mikroekonomia-podstawy": 133,
+    "psychologia-polska": 187,
+    "zywienie": 78
+  },
+  "chars": 12375066,
+  "drop_by_reason": {
+    "frontmatter_index_bibliography_or_answer_key": 153,
+    "high_confidence_non_polish": 7,
+    "low_letter_ratio": 3,
+    "normalized_duplicate": 8,
+    "too_short": 4,
+    "unconverted_math": 14,
+    "within_source_near_duplicate": 1
+  },
+  "kept": 1422,
+  "license": "CC-BY-4.0",
+  "source_pages": 1612,
+  "target_revision": "a916edecabc2be8832e08fb2bd9dfafcc1d2dd71",
+  "tokenizer": "cl100k_base",
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+}

src/fetch_openstax_pl.py

@@ -0,0 +1,452 @@
+#!/usr/bin/env python3
+"""Snapshot and prepare eight Polish OpenStax editions for DynaWord.
+
+Run with uv run --with-requirements scripts/openstax_requirements.txt python
+scripts/build_openstax_pl.py --output data/openstax_pl_v1 <discover|fetch|build>.
+Only discover/fetch access upstream. Build replays the recorded content snapshot.
+"""
+
+from __future__ import annotations
+
+import argparse
+import ast
+import collections
+import concurrent.futures
+import datetime as dt
+import gzip
+import hashlib
+import importlib.metadata
+import json
+from pathlib import Path
+import platform
+import pprint
+import re
+import shutil
+import threading
+import time
+import unicodedata
+from urllib.parse import unquote, urlsplit
+
+from bs4 import BeautifulSoup, NavigableString
+import requests
+
+SOURCE = "openstax_pl"
+OWN_REPO = "PiotrSty/openstax-pl-textbooks"
+TARGET = "SlayerLab/polish-dynaword"
+CATALOG = "https://openstax.pl/podreczniki"
+BOOKS = (
+    "fizyka-dla-szkół-wyższych-tom-1", "fizyka-dla-szkół-wyższych-tom-2",
+    "fizyka-dla-szkół-wyższych-tom-3", "psychologia-polska",
+    "mikroekonomia-podstawy", "makroekonomia-podstawy", "marketing-podstawy", "zywienie",
+)
+FIELDS = ["id", "text", "source", "added", "created", "token_count", "license", "author"]
+BLOCKS = {"p", "div", "section", "h1", "h2", "h3", "h4", "h5", "h6", "ul", "ol", "li", "table", "tr", "blockquote", "dl", "dt", "dd"}
+EMAIL = re.compile(r"(?i)\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b")
+PHONE = re.compile(r"(?i)(?:\btelefon|\btel\.)\s*:?\s*(?:\+48\s*)?\d(?:[ .-]?\d){8}\b")
+_LOCK = threading.Lock()
+_NEXT_REQUEST = 0.0
+
+
+def now():
+    return dt.datetime.now(dt.timezone.utc).isoformat()
+
+
+def digest(value):
+    if not isinstance(value, bytes):
+        value = json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":")).encode()
+    return hashlib.sha256(value).hexdigest()
+
+
+def write_json(path, value):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(value, ensure_ascii=False, sort_keys=True, indent=2) + "\n", encoding="utf-8")
+
+
+def jsonl(path, records):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text("".join(json.dumps(r, ensure_ascii=False, sort_keys=True) + "\n" for r in records), encoding="utf-8")
+
+
+def read_jsonl(path):
+    return [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line]
+
+
+def request(url):
+    global _NEXT_REQUEST
+    for attempt in range(5):
+        with _LOCK:
+            delay = max(0, _NEXT_REQUEST - time.monotonic())
+            _NEXT_REQUEST = max(time.monotonic(), _NEXT_REQUEST) + 0.5
+        time.sleep(delay)
+        response = requests.get(url, timeout=(20, 90), headers={"User-Agent": "OpenStaxPLResearch/1.0 (PiotrSty; text-only open dataset curation)"})
+        if response.status_code not in (429, 500, 502, 503, 504):
+            response.raise_for_status()
+            return response
+        time.sleep(min(2 ** attempt, 16))
+    response.raise_for_status()
+
+
+def soup_html(raw):
+    return BeautifulSoup(raw, "html.parser")
+
+
+def page_content(raw):
+    soup = soup_html(raw)
+    content = soup.select_one('#main-content [data-type="page"]')
+    if content is None:
+        content = soup.select_one('[data-book-content="true"]')
+    if content is None:
+        raise ValueError("Missing OpenStax book content container")
+    return soup, content
+
+
+def normalize(text):
+    text = unicodedata.normalize("NFKC", text).replace("\u200b", "").replace("\u00ad", "")
+    text = re.sub(r"[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]", "", text)
+    lines = [re.sub(r"[ \t\xa0]+", " ", line).strip() for line in text.splitlines()]
+    return re.sub(r"\n{3,}", "\n\n", "\n".join(lines)).strip()
+
+
+def normalized_key(text):
+    return " ".join(unicodedata.normalize("NFKC", text).casefold().split())
+
+
+def shingles(text):
+    words = re.findall(r"\w+", normalized_key(text))
+    return {" ".join(words[i:i + 5]).encode() for i in range(max(0, len(words) - 4))}
+
+
+def near_dedup(rows):
+    from datasketch import MinHash, MinHashLSH
+    index = MinHashLSH(threshold=0.8, num_perm=128)
+    accepted, removed, features = [], [], {}
+    for row in rows:
+        tokens = shingles(row["text"])
+        if not tokens:
+            accepted.append(row)
+            continue
+        signature = MinHash(num_perm=128, seed=1)
+        signature.update_batch(sorted(tokens))
+        duplicate = None
+        for other in sorted(index.query(signature)):
+            score = len(tokens & features[other]) / len(tokens | features[other])
+            if score >= 0.9:
+                duplicate = {"id": row["id"], "duplicate_of": other, "jaccard": score, "reason": "within_source_near_duplicate"}
+                break
+        if duplicate:
+            removed.append(duplicate)
+        else:
+            accepted.append(row)
+            features[row["id"]] = tokens
+            index.insert(row["id"], signature)
+    return accepted, removed
+
+
+def extract(content_html):
+    from mathml_to_latex.converter import MathMLToLaTeX
+    soup = soup_html(content_html)
+    root = soup.select_one('[data-type="page"]') or soup
+    removed = collections.Counter()
+    for node in list(root.select('script, style, nav, button, iframe, video, audio, svg, figure, [data-type="figure"], .os-figure, [data-type="media"]')):
+        if node.parent is not None:
+            removed["media_or_ui_blocks"] += 1
+            node.decompose()
+    # MathML can otherwise concatenate numerator/denominator or duplicate MathJax output.
+    for node in list(root.find_all("math")):
+        annotation = node.find("annotation", attrs={"encoding": "application/x-tex"})
+        value = annotation.get_text() if annotation else node.get("alttext")
+        if not value:
+            for redundant in node.find_all(["annotation", "annotation-xml"]):
+                redundant.decompose()
+            for spacing in node.find_all("mspace"):
+                spacing.decompose()
+                removed["math_spacing_removed"] += 1
+            if not node.get_text(strip=True) and all(
+                child.name in {"semantics", "mrow"} for child in node.find_all()
+            ):
+                node.decompose()
+                removed["empty_math_placeholder_removed"] += 1
+                continue
+            try:
+                value = MathMLToLaTeX().convert(str(node))
+                if not value.strip():
+                    raise ValueError("Empty math conversion")
+                removed["mathml_converted_to_latex"] += 1
+            except Exception:
+                value = "[UNCONVERTED_MATHML]"
+                removed["math_conversion_failed"] += 1
+        value = value.replace("\u2062", " \\cdot ").replace("\u2061", " ").replace("\u2063", ", ")
+        node.replace_with(NavigableString(" " + ("$" + value + "$" if value else "[formula]") + " "))
+    for node in root.select(".MathJax, mjx-container"):
+        node.decompose()
+    for node in root.find_all(["sub", "sup"]):
+        node.replace_with(NavigableString(("_" if node.name == "sub" else "^") + "(" + node.get_text() + ")"))
+    for node in root.find_all(["br", "hr"]):
+        node.replace_with(NavigableString("\n"))
+    for node in root.find_all(["td", "th"]):
+        node.append(NavigableString(" | "))
+    for node in root.find_all(list(BLOCKS)):
+        node.insert_before(NavigableString("\n\n"))
+        node.insert_after(NavigableString("\n\n"))
+    text = normalize(root.get_text())
+    for name, pattern in (("email", EMAIL), ("labelled_phone", PHONE)):
+        text, count = pattern.subn("[REDACTED:" + name.upper() + "]", text)
+        removed[name] += count
+    return text, dict(removed)
+
+
+def license_evidence(content):
+    text = normalize(content.get_text(" ", strip=True))
+    match = re.search(r"(?:Podręcznik|Fizyka|Psychologia|Creative Commons).{0,260}(?:CC BY.{0,15}4\.0|Uznanie autorstwa.{0,30}4\.0)", text)
+    links = sorted({a.get("href", "") for a in content.find_all("a") if "creativecommons.org/licenses/" in a.get("href", "")})
+    if re.search(r"(?i)CC\s*BY[-\s]*NC|licenses/by-nc", text + " ".join(links)):
+        raise ValueError("Noncommercial license marker in book foreword")
+    if not match and not any("licenses/by/4.0" in link for link in links):
+        raise ValueError("No book-specific CC BY 4.0 evidence")
+    return {"license": "CC-BY-4.0", "license_links": links, "evidence_excerpt": match.group(0) if match else "Book foreword links CC BY 4.0", "full_foreword_text_sha256": digest(text.encode())}
+
+
+def discover(out):
+    from huggingface_hub import HfApi
+    out.mkdir(parents=True, exist_ok=True)
+    response = request(CATALOG)
+    soup = soup_html(response.content)
+    details = sorted({a["href"] for a in soup.select('a[href*="szczegoly-ksiazki?book="]')})
+    inventory = []
+    for detail in details:
+        page = request(detail)
+        doc = soup_html(page.content)
+        urls = sorted({unquote(a["href"]).split("#")[0] for a in doc.select('a[href*="openstax.org/books/"]') if "/pages/" in a["href"]})
+        slugs = {urlsplit(u).path.split("/")[2] for u in urls}
+        if len(slugs) != 1 or not slugs <= set(BOOKS):
+            continue
+        slug = next(iter(slugs))
+        foreword = f"https://openstax.org/books/{slug}/pages/przedmowa"
+        fw = request(foreword)
+        fw_soup, content = page_content(fw.content)
+        evidence = license_evidence(content)
+        meta = collections.defaultdict(list)
+        for tag in fw_soup.select('meta[name^="citation_"]'):
+            meta[tag["name"]].append(tag.get("content", ""))
+        item = {"slug": slug, "detail_url": detail, "title": meta.get("citation_book_title", [slug])[0], "pages": urls,
+                "foreword_url": foreword, "foreword_content_html": str(content), "metadata": dict(meta),
+                "license_evidence": evidence, "observed_at": now(), "detail_response_sha256": digest(page.content),
+                "foreword_response_sha256": digest(fw.content)}
+        inventory.append(item)
+        print(f"Discovered {slug}: {len(urls)} pages; CC-BY-4.0", flush=True)
+    if {i["slug"] for i in inventory} != set(BOOKS) or len(inventory) != 8:
+        raise ValueError("The eight-book catalog contract was not satisfied")
+    api = HfApi()
+    target = api.dataset_info(TARGET)
+    discussions = [{"num": d.num, "title": d.title, "status": d.status, "is_pull_request": d.is_pull_request} for d in api.get_repo_discussions(TARGET, repo_type="dataset")]
+    registry_response = request(f"https://huggingface.co/datasets/{TARGET}/resolve/{target.sha}/src/sources.py")
+    registry = registry_response.content.decode("utf-8")
+    if SOURCE in registry or any("openstax" in d["title"].lower() for d in discussions):
+        raise ValueError("OpenStax already appears in registry/discussions; review before continuing")
+    (out / "target_sources.py").write_text(registry, encoding="utf-8")
+    write_json(out / "target_audit.json", {"repository": TARGET, "revision": target.sha, "observed_at": now(), "discussions": discussions,
+        "files": [s.rfilename for s in target.siblings], "registry_sha256": digest(registry.encode()),
+        "source_key_absent": True, "cross_source_text_dedup": "pending; source registration is not evidence of text novelty"})
+    write_json(out / "inventory.json", sorted(inventory, key=lambda x: x["slug"]))
+
+
+def fetch_page(task):
+    out, book, url = task
+    path = out / "cache" / (digest(url.encode()) + ".json.gz")
+    if path.exists():
+        with gzip.open(path, "rt", encoding="utf-8") as stream:
+            record = json.load(stream)
+        if record["url"] != url or digest(record["content_html"].encode()) != record["content_sha256"]:
+            raise ValueError("Invalid cached content")
+        return record
+    response = request(url)
+    soup, content = page_content(response.content)
+    canonical = soup.select_one('meta[property="og:url"]')
+    record = {"url": url, "resolved_url": response.url, "book": book,
+        "canonical_url": unquote(canonical.get("content")) if canonical else url,
+        "content_html": str(content), "content_sha256": digest(str(content).encode()),
+        "response_sha256": digest(response.content), "observed_at": now(),
+        "title": content.select_one('[data-type="document-title"]').get_text(" ", strip=True) if content.select_one('[data-type="document-title"]') else "",
+        "page_id": content.get("id", "")}
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_bytes(gzip.compress(json.dumps(record, ensure_ascii=False, sort_keys=True).encode(), mtime=0))
+    return record
+
+
+def fetch(out, workers, limit):
+    inventory = json.loads((out / "inventory.json").read_text(encoding="utf-8"))
+    tasks = [(out, b["slug"], url) for b in inventory for url in (b["pages"][:limit] if limit else b["pages"])]
+    records, failures = [], []
+    with concurrent.futures.ThreadPoolExecutor(max_workers=workers) as pool:
+        futures = {pool.submit(fetch_page, task): task for task in tasks}
+        for count, future in enumerate(concurrent.futures.as_completed(futures), 1):
+            try:
+                records.append(future.result())
+            except Exception as exc:
+                failures.append({"book": futures[future][1], "url": futures[future][2], "error": str(exc)})
+            if count % 50 == 0 or count == len(tasks):
+                print(f"Fetched {count}/{len(tasks)}; failures={len(failures)}", flush=True)
+    write_json(out / "fetch_failures.json", failures)
+    if failures:
+        raise ValueError(f"{len(failures)} pages failed; rerun fetch to resume")
+    jsonl(out / "source_pages.jsonl", sorted(records, key=lambda x: (x["book"], x["url"])))
+
+
+def source_entry():
+    return {"file_key": SOURCE, "pretty": "OpenStax Poland - eight academic textbook volumes",
+        "license": "CC-BY-4.0", "license_spdx": "CC-BY-4.0",
+        "traceable": "Each Polish edition explicitly grants CC BY 4.0 in its recorded foreword. Media are excluded; attribution is retained per page.",
+        "upstream": CATALOG, "provenance": "Pinned PiotrSty/openstax-pl-textbooks snapshot; book/page URLs, content hashes, contributors and transformations in attribution sidecar.",
+        "domain": "educational/academic", "created": "2017-12-05, 2025-10-01", "is_ocr": False, "custom_datasheet": True}
+
+
+def update_registry(registry):
+    tree = ast.parse(registry)
+    node = next(n.value for n in tree.body if isinstance(n, ast.Assign) and any(isinstance(t, ast.Name) and t.id == "SOURCES" for t in n.targets))
+    if not isinstance(node, ast.Dict) or SOURCE in [ast.literal_eval(k) for k in node.keys]:
+        raise ValueError("Unexpected source registry")
+    lines = registry.splitlines(keepends=True)
+    offset = sum(len(line) for line in lines[:node.lineno - 1]) + node.col_offset + 1
+    formatted = pprint.pformat(source_entry(), width=96, sort_dicts=False)
+    entry = "\n    " + json.dumps(SOURCE) + ": " + formatted.replace("\n", "\n    ") + ","
+    return registry[:offset] + entry + registry[offset:]
+
+
+def build(out):
+    import pyarrow as pa
+    import pyarrow.parquet as pq
+    import tiktoken
+    from langid.langid import LanguageIdentifier, model
+    started = now()
+    code_sha256 = digest(Path(__file__).read_bytes())
+    books = json.loads((out / "inventory.json").read_text(encoding="utf-8"))
+    book_map = {b["slug"]: b for b in books}
+    snapshot = read_jsonl(out / "source_pages.jsonl")
+    expected = {url for b in books for url in b["pages"]}
+    if {r["url"] for r in snapshot} != expected or len(snapshot) != len(expected):
+        raise ValueError("Build requires the complete discovered snapshot")
+    encoder = tiktoken.get_encoding("cl100k_base")
+    identifier = LanguageIdentifier.from_modelstring(model, norm_probs=True)
+    identifier.set_languages(["pl", "en", "de", "cs", "sk", "uk", "ru", "fr"])
+    rows, sidecars, rejected, language_flags = [], [], [], []
+    seen = {}
+    counts, changes = collections.Counter(), collections.Counter()
+    added = min(r["observed_at"][:10] for r in snapshot)
+    for page_number, record in enumerate(snapshot, 1):
+        if page_number % 100 == 0:
+            print(f"Processing {page_number}/{len(snapshot)} pages", flush=True)
+        if digest(record["content_html"].encode()) != record["content_sha256"]:
+            raise ValueError("Source snapshot checksum mismatch")
+        text, operations = extract(record["content_html"])
+        changes.update(operations)
+        slug = record["url"].rsplit("/", 1)[-1]
+        reason = ""
+        if re.match(r"^(?:przedmowa|skorowidz|bibliografia|rozdzial-\d+$)", slug) or "bibliografia" in slug:
+            reason = "frontmatter_index_bibliography_or_answer_key"
+        elif operations.get("math_conversion_failed"):
+            reason = "unconverted_math"
+        elif len(text) < 200:
+            reason = "too_short"
+        elif len(re.findall(r"[a-zA-Z\u00c0-\u024f]", text)) / max(1, len(text)) < 0.35:
+            reason = "low_letter_ratio"
+        key = normalized_key(text)
+        if not reason and key in seen:
+            reason = "normalized_duplicate"
+        if reason:
+            rejected.append({"url": record["url"], "book": record["book"], "reason": reason, "duplicate_of": seen.get(key), "content_sha256": record["content_sha256"]})
+            continue
+        language, confidence = identifier.classify(text[:12000])
+        if language != "pl":
+            language_flags.append({"url": record["url"], "language": language, "confidence": float(confidence), "text_preview": text[:400]})
+        if language != "pl" and confidence >= 0.99:
+            rejected.append({"url": record["url"], "book": record["book"], "reason": "high_confidence_non_polish", "content_sha256": record["content_sha256"]})
+            continue
+        seen[key] = record["url"]
+        book = book_map[record["book"]]
+        authors = book["metadata"].get("citation_author", [])
+        author = "; ".join(authors + ["OpenStax Poland and the Polish edition contributors (see foreword)"])
+        date_raw = book["metadata"].get("citation_date", [""])[0]
+        try:
+            created = dt.datetime.strptime(date_raw, "%b %d, %Y").date().isoformat()
+        except ValueError:
+            created = ""
+        row_id = SOURCE + "_" + digest(record["url"].encode())
+        row = {"id": row_id, "text": text, "source": SOURCE, "added": added, "created": created,
+            "token_count": len(encoder.encode_ordinary(text)), "license": "CC-BY-4.0", "author": author}
+        rows.append(row)
+        counts[record["book"]] += 1
+        sidecars.append({"id": row_id, **{k: v for k, v in record.items() if k != "content_html"}, "text_sha256": digest(text.encode()),
+            "book_title": book["title"], "foreword_url": book["foreword_url"], "license": "CC-BY-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/",
+            "citation_authors": authors, "edition_contributors": "Named in the preserved foreword", "citation_date_raw": date_raw,
+            "language_result": language, "language_confidence": float(confidence), "transformations": operations})
+    if not rows or set(counts) != set(BOOKS):
+        raise ValueError("No retained data for one or more books")
+    rows, near_removed = near_dedup(rows)
+    by_id = {s["id"]: s for s in sidecars}
+    for item in near_removed:
+        rejected.append({**item, "url": by_id[item["id"]]["url"], "book": by_id[item["id"]]["book"],
+            "content_sha256": by_id[item["id"]]["content_sha256"]})
+    retained_ids = {r["id"] for r in rows}
+    sidecars = [s for s in sidecars if s["id"] in retained_ids]
+    counts = collections.Counter(s["book"] for s in sidecars)
+    root = out / "hf_repo"
+    data = root / "data"
+    artifacts = root / "artifacts"
+    data.mkdir(parents=True, exist_ok=True)
+    artifacts.mkdir(parents=True, exist_ok=True)
+    schema = pa.schema([(name, pa.int64() if name == "token_count" else pa.string()) for name in FIELDS])
+    pq.write_table(pa.Table.from_pylist(rows, schema=schema), data / "train-00000-of-00001.parquet", compression="zstd", row_group_size=128)
+    jsonl(artifacts / "attribution.jsonl", sidecars)
+    jsonl(artifacts / "rejections.jsonl", rejected)
+    samples = []
+    for book in BOOKS:
+        ids = {s["id"] for s in sidecars if s["book"] == book}
+        samples.extend(sorted((r for r in rows if r["id"] in ids), key=lambda r: digest(("sample:" + r["id"]).encode()))[:3])
+    jsonl(artifacts / "sample.jsonl", samples)
+    write_json(artifacts / "books.json", books)
+    shutil.copy2(out / "target_audit.json", artifacts / "target_audit.json")
+    # Preserve the exact extracted source containers; gzip has a fixed timestamp.
+    (artifacts / "source_pages.jsonl.gz").write_bytes(gzip.compress((out / "source_pages.jsonl").read_bytes(), mtime=0))
+    write_json(artifacts / "qa.json", {"protocol": "All retained-page language classifications and deterministic extraction checks",
+        "language_flags": language_flags, "within_source_normalized_dedup": True,
+        "within_source_near_dedup": {"algorithm": "MinHashLSH candidates threshold 0.8; exact five-word-shingle Jaccard >=0.9", "num_perm": 128, "seed": 1, "removed": len(near_removed), "limitation": "Probabilistic candidate retrieval can miss similar pairs"},
+        "cross_source_exact_dedup_completed": False, "cross_source_near_dedup_completed": False,
+        "benchmark_contamination_check": "pending_target_integration", "extraction_operations": dict(changes),
+        "pii_patterns": {key: changes[key] for key in ("email", "labelled_phone")},
+        "pii_limitations": "Pattern checks are not complete de-identification. Published author names and attributed examples are retained.",
+        "math_policy": "MathML TeX annotation/alttext or mathml-to-latex==1.0.0; remove spacing-only nodes and empty mrow/semantics placeholders; drop pages with failed conversion without guessing missing operands", "ocr": False})
+    stats = {"source_pages": len(snapshot), "kept": len(rows), "tokens": sum(r["token_count"] for r in rows),
+        "chars": sum(len(r["text"]) for r in rows), "words": sum(len(r["text"].split()) for r in rows),
+        "by_book": dict(counts), "drop_by_reason": dict(collections.Counter(r["reason"] for r in rejected)),
+        "tokenizer": "cl100k_base", "license": "CC-BY-4.0", "added": added,
+        "target_revision": json.loads((out / "target_audit.json").read_text())["revision"]}
+    write_json(artifacts / "stats.json", stats)
+    (root / "src").mkdir(exist_ok=True)
+    shutil.copy2(Path(__file__), root / "src" / "build_openstax_pl.py")
+    requirements = Path(__file__).with_name("openstax_requirements.txt")
+    shutil.copy2(requirements, root / "src" / requirements.name)
+    write_json(artifacts / "run.json", {"started_at": started, "finished_at": now(), "actor_id": "agent:codex", "requested_by": "hf:PiotrSty",
+        "python": platform.python_version(), "platform": platform.platform(),
+        "packages": {n: importlib.metadata.version(n) for n in ("beautifulsoup4", "requests", "pyarrow", "tiktoken", "langid", "datasketch", "mathml-to-latex")},
+        "code_sha256": code_sha256, "input_sha256": digest((out / "source_pages.jsonl").read_bytes())})
+    write_json(artifacts / "checksums.json", {p.relative_to(root).as_posix(): digest(p.read_bytes()) for p in sorted(root.rglob("*")) if p.is_file() and p.name not in ("checksums.json", "ontology.json", "README.md", "NOTICE.md") and "__pycache__" not in p.parts and ".pytest_cache" not in p.parts})
+    print(json.dumps(stats, ensure_ascii=False, indent=2), flush=True)
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--output", type=Path, required=True)
+    parser.add_argument("command", choices=["discover", "fetch", "build"])
+    parser.add_argument("--workers", type=int, default=3)
+    parser.add_argument("--limit-per-book", type=int, default=0)
+    args = parser.parse_args()
+    if args.command == "discover":
+        discover(args.output)
+    elif args.command == "fetch":
+        fetch(args.output, args.workers, args.limit_per_book)
+    else:
+        build(args.output)
+
+
+if __name__ == "__main__":
+    main()

src/openstax_requirements.txt

@@ -0,0 +1,9 @@
+beautifulsoup4==4.14.3
+requests==2.32.5
+pyarrow==23.0.1
+tiktoken==0.12.0
+huggingface_hub>=1.0,<2
+langid==1.1.6
+pytest>=8,<10
+datasketch==1.6.5
+mathml-to-latex==1.0.0

src/sources.py

@@ -441,6 +441,27 @@ SOURCES = {
         "is_ocr": False,
         "custom_datasheet": True,
     },
+    "openstax_pl": {
+        "added": "2026-09-05",
+        "release": None,
+        "file_key": "openstax_pl",
+        "pretty": "OpenStax Poland - eight academic textbook volumes",
+        "license": "CC-BY-4.0",
+        "license_spdx": "CC-BY-4.0",
+        "traceable": "Each Polish edition explicitly grants CC BY 4.0 in its recorded foreword "
+                     "(per-book license statement linked at the origin: openstax.org/books/<slug>/"
+                     "pages/przedmowa and openstax.pl book pages). Media are excluded; attribution "
+                     "is retained per page. Polish translations of the English OpenStax originals, "
+                     "credited to named human translators in the forewords.",
+        "upstream": "https://openstax.pl/podreczniki",
+        "provenance": "Pinned PiotrSty/openstax-pl-textbooks snapshot; book/page URLs, content "
+                      "hashes, contributors and transformations in attribution sidecar. Pattern PII "
+                      "redaction only - re-run through SlayerLab/NERGAL before release.",
+        "domain": "educational/academic",
+        "created": "2017-12-05, 2025-10-01",
+        "is_ocr": False,
+        "custom_datasheet": True,
+    },
     "biblioteka_nauki": {
         "added": "2026-06-27",
         "custom_datasheet": True,

src/test_openstax_contribution.py

@@ -0,0 +1,61 @@
+"""Checks for the published DynaWord OpenStax contribution directory."""
+import hashlib
+import json
+from pathlib import Path
+
+import pyarrow.parquet as pq
+import pytest
+
+ROOT = Path(__file__).resolve().parents[1]
+DATA = ROOT / 'data' / 'openstax_pl'
+MANIFEST = ROOT / 'artifacts/openstax_pl_ontology_manifest.json'
+pytestmark = pytest.mark.skipif(not MANIFEST.exists(), reason='Run from the prepared DynaWord contribution directory')
+
+
+def canonical(value):
+    return hashlib.sha256(json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(',', ':')).encode()).hexdigest()
+
+
+def test_records_and_sidecars():
+    table = pq.read_table(DATA / 'openstax_pl.parquet')
+    stats = json.loads((DATA / 'openstax_pl.stats.json').read_text(encoding='utf-8'))
+    rows = table.to_pylist()
+    assert table.column_names == ['id', 'text', 'source', 'added', 'created', 'token_count', 'license', 'author']
+    assert len(rows) == stats['kept']
+    assert sum(r['token_count'] for r in rows) == stats['tokens']
+    assert len({r['id'] for r in rows}) == len(rows)
+    assert {r['license'] for r in rows} == {'CC-BY-4.0'}
+    attribution = [json.loads(line) for line in (DATA / 'openstax_pl.attribution.jsonl').read_text(encoding='utf-8').splitlines()]
+    assert {r['id'] for r in rows} == {r['id'] for r in attribution}
+    assert len({r['book'] for r in attribution}) == 8
+    samples = [json.loads(line) for line in (DATA / 'openstax_pl.sample.jsonl').read_text(encoding='utf-8').splitlines()]
+    assert len(samples) == 24
+    by_id = {r['id']: r for r in rows}
+    assert all(by_id[r['id']] == r for r in samples)
+
+
+def test_ontology_hashes_links_and_dag():
+    manifest = json.loads(MANIFEST.read_text(encoding='utf-8'))
+    assert manifest['ontology_version'] == 'slayer.ai/research-ontology/v0.1'
+    evidence = {e['id']: e for e in manifest['evidence']}
+    claims = {c['id']: c for c in manifest['claims']}
+    checksums = next(e['payload'] for e in evidence.values() if e['observation_type'] == 'artifact_checksums')
+    assert manifest['version']['digest'] == 'sha256:' + canonical(checksums)
+    assert manifest['protocol']['version']['digest'] == 'sha256:' + canonical(manifest['protocol']['specification'])
+    assert '@0000000000000000000000000000000000000000/' not in manifest['version']['payload_uri']
+    mapping = {'data/train-00000-of-00001.parquet': DATA / 'openstax_pl.parquet'}
+    for name in ('attribution.jsonl', 'sample.jsonl', 'stats.json', 'qa.json', 'rejections.jsonl', 'books.json'):
+        mapping['artifacts/' + name] = DATA / ('openstax_pl.' + name)
+    for key, path in mapping.items():
+        assert hashlib.sha256(path.read_bytes()).hexdigest() == checksums[key]
+    for link in manifest['claim_evidence']:
+        assert link['claim_id'] in claims and link['evidence_id'] in evidence
+    graph = {}
+    for relation in manifest['relations']:
+        graph.setdefault(relation['source_version_id'], []).append(relation['target_version_id'])
+    def visit(node, path):
+        assert node not in path
+        for child in graph.get(node, []):
+            visit(child, path | {node})
+    for node in graph:
+        visit(node, set())