#!/usr/bin/env python3 """Generate Dynaword documentation: per-source datasheets + README + CHANGELOG + LICENSE. Reads sources.py + data//.stats.json (written by build_dynaword.py). Implements the "Documented" principle (datasheets, Gebru et al. 2021) and the aggregate README table (paper 2508.02271). """ from __future__ import annotations import json, sys from pathlib import Path sys.path.insert(0, str(Path(__file__).resolve().parent)) from sources import SOURCES, EXCLUDED, ADDED ROOT = Path(__file__).resolve().parent.parent VERSION = "0.2.0" CONTACT = "k.wikiel@gmail.com" # notice-and-takedown / data-removal requests # Dupochron: documented good-faith provenance + no-warranty + takedown + PII. DISCLAIMER = f"""## Personal & sensitive data This corpus contains **only** text that its upstream sources already published under open licenses or as official public-domain record. It therefore includes names and statements of **public figures acting in a public capacity** — e.g. parliamentary speakers (PPC), authorities named in legal acts (EUR-Lex), and people described in encyclopedic articles (Wikipedia/Wikisource). No private, non-public personal data was collected or added. If you are a data subject and want content concerning you removed, contact **{CONTACT}** — it will be dropped from the next version (see retroactive-removal policy below). ## Disclaimer & legal - **Provenance in good faith.** Per-source licenses are reproduced *as documented by the upstream sources and by SpeakLeash* (the intermediate aggregator), to the best of our knowledge. We make no independent legal warranty about the copyright status of any individual document. - **No ownership claim.** This release is a *curated, license-reviewed, documented aggregation*. We claim no ownership of the underlying texts; rights remain with the original authors/rightsholders under their respective licenses. - **Provided "as is"**, without warranty of any kind, express or implied. This is not legal advice. - **Your compliance is yours.** Downstream users must satisfy each upstream license themselves — in particular **CC-BY-SA-4.0 attribution and share-alike** for derivatives of this dataset, and attribution to the upstream sources and to SpeakLeash. - **Notice-and-takedown.** Any source or rightsholder raising a substantiated objection can have material removed: contact **{CONTACT}**; it is dropped from the next version and recorded in the CHANGELOG. Removal is retroactive going-forward (prior immutable snapshots/commits may persist). """ def load_stats(name): f = ROOT / "data" / name / f"{name}.stats.json" return json.loads(f.read_text()) if f.exists() else None def datasheet(name, cfg, st): return f"""# {name} {cfg['pretty']} ## Dataset description - **Source (upstream):** {cfg['upstream']} - **Domain:** {cfg['domain']} - **Language:** Polish (pl) - **License:** `{cfg['license']}` - **Created (range):** {cfg['created']} - **Added:** {ADDED} ## Licensing — traceable basis {cfg['traceable']} ## Provenance {cfg.get('provenance', f"Pulled from SpeakLeash's public redistribution " f"(`speakleash-ds-pub`, key `{cfg.get('speakleash_key')}`) of the upstream source " f"above. SpeakLeash credited as intermediate aggregator; upstream " f"license/attribution preserved.")} ## Statistics | documents | characters | tokens (tiktoken proxy) | |---:|---:|---:| | {st['kept']:,} | {st['chars']:,} | {st['tokens']:,} | ## Filters applied (build_dynaword.py) Minimal, per Dynaword guidelines (heavy filtering left to downstream use): - drop documents < 200 chars: **{st['drop_short']:,}** - drop non-Polish (diacritic ratio): **{st['drop_lang']:,}** - exact cross-source dedup (sha1): **{st['drop_dup']:,}** - OCR alpha-ratio < 0.70 (OCR sources only): **{st['drop_ocr']:,}** - read {st['read']:,} → kept {st['kept']:,} Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical Llama-3 count is computed at release. """ def main(): rows, tot_doc, tot_tok, tot_chr = [], 0, 0, 0 for name, cfg in SOURCES.items(): st = load_stats(name) if not st: print(f" ! no stats for {name}"); continue (ROOT / "data" / name / f"{name}.md").write_text(datasheet(name, cfg, st)) rows.append((name, cfg, st)) tot_doc += st["kept"]; tot_tok += st["tokens"]; tot_chr += st["chars"] rows.sort(key=lambda r: -r[2]["tokens"]) tbl = "\n".join( f"| [{n}](data/{n}/{n}.md) | {c['pretty']} | `{c['license']}` | " f"{s['kept']:,} | {s['tokens']/1e6:,.1f}M |" for n, c, s in rows) excl = "\n".join(f"| `{k}` | {v} |" for k, v in EXCLUDED.items()) readme = f"""--- license: cc-by-sa-4.0 language: - pl pretty_name: Polish DynaWord task_categories: - text-generation size_categories: - 1M **v{VERSION}** · {tot_doc:,} documents · **{tot_tok/1e9:.2f}B tokens** (tiktoken proxy; > canonical Llama-3 count at release) · {len(rows)} sources ## What this dataset contributes The raw texts come from existing open corpora (redistributed via SpeakLeash and, where applicable, fetched from upstream). **The value added here is the curation, not the bytes**, following the Dynaword methodology: 1. **License review per source** — each source vetted for an *openly-licensed, traceable* legal basis (documented in its datasheet); sources that fail the review are **excluded with a stated reason** (see table below), not silently kept. This is the core editorial work. 2. **Filtering & normalization** — minimal, reproducible gates (short-doc, non-Polish, exact cross-source dedup, OCR garble) applied uniformly to one clean schema: `id, text, source, added, created, token_count`. 3. **Documentation** — a datasheet per source (Gebru et al. 2021) + this card, so provenance and licensing are auditable rather than assumed. 4. **Reproducibility & versioning** — `src/` rebuilds the corpus from sources; new sources and removals are tracked in the CHANGELOG. Credit for the underlying texts belongs to the upstream sources and to SpeakLeash as the redistributing aggregator; this release does not claim ownership of them (see Disclaimer). ## Guiding principles 1. **Open & traceable licensing** — every source is *openly licensed* with a documented legal basis (see each datasheet's "traceable basis"), not a vague "public domain". 2. **Reproducibility** — `src/build_dynaword.py` rebuilds the corpus from sources. 3. **Documented** — a datasheet per source under `data//`. 4. **Extensibility** — versioned; new sources via PR. ## Sources | source | description | license | documents | tokens | |---|---|---|---:|---:| {tbl} | **total** | | | **{tot_doc:,}** | **{tot_tok/1e6:,.1f}M** | ## Method Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed data. Gates are intentionally minimal (drop short docs, non-Polish, exact duplicates, OCR garble); heavy quality filtering and mix-weighting are left to downstream training. Evaluation-set decontamination is applied/marked separately. Schema: `id, text, source, added, created, token_count`. ## Excluded sources (transparency) Sources we reviewed and **deliberately left out** — part of the curation: | source | reason | |---|---| {excl} {DISCLAIMER} ## License & attribution Released under **CC-BY-SA-4.0** (copyleft inherited from CC-BY-SA sources such as Wikipedia/Wikisource/Wolne Lektury). Attribution due to each upstream (see datasheets) and to **SpeakLeash** as the intermediate aggregator. Retroactive-removal policy: a source that raises an objection is dropped from subsequent versions, recorded in the CHANGELOG. ## Reproduce ```bash python3 src/build_dynaword.py --all --speakleash-dir --out . python3 src/make_docs.py ``` """ (ROOT / "README.md").write_text(readme) (ROOT / "CHANGELOG.md").write_text( f"# Changelog\n\n## v{VERSION} ({ADDED})\n\n" f"- Initial release: {len(rows)} openly-licensed sources, " f"{tot_doc:,} docs, {tot_tok/1e9:.2f}B tokens (tiktoken proxy).\n" f"- Sources: {', '.join(n for n, _, _ in rows)}.\n" f"- Excluded (see README): {', '.join(EXCLUDED)}.\n") (ROOT / "LICENSE").write_text( "Polish DynaWord is released under Creative Commons Attribution-ShareAlike 4.0\n" "International (CC-BY-SA-4.0): https://creativecommons.org/licenses/by-sa/4.0/\n\n" "Per-source upstream licenses and attribution are documented in each\n" "data//.md datasheet.\n") print(f"docs written: README + CHANGELOG + LICENSE + {len(rows)} datasheets") print(f"TOTAL {tot_doc:,} docs | {tot_tok/1e9:.2f}B tok | {tot_chr/1e9:.1f}B chars") if __name__ == "__main__": main()