polish-dynaword / artifacts /source_findings.md
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Contributor guidance: source findings log + PR/normalization requirements (#17)
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# Source investigation findings
Running log of sources that were investigated, whether or not they were added.
**Append-only, version-independent** — unlike the `*_v0_3.md` artifacts, which are
point-in-time snapshots of one release's candidate review.
Purpose: stop the same source being re-investigated from scratch every few months.
A negative finding is as valuable as a positive one, as long as it records *what
was checked* and *what would change the answer*.
Related, don't duplicate:
- `source_scouting_v0_3.md` — v0.3 candidate shortlist (HuggingFace-centric)
- `source_candidate_audit_v0_3.md` — machine-generated audit of those HF cards
- `source_license_review_v0_3.md` — v0.3 license decision table
## How to add an entry
One `##` section per source. Keep these fields:
- **Investigated** — date, so a stale finding is visible as stale.
- **Verdict** — `added` / `blocked` / `hold` / `rejected`, plus the one-line reason.
- **Enumeration** — how you would actually get the data, or why you can't.
- **License evidence** — what you checked, with URLs. Separate what you *verified
yourself* from what you read second-hand; label the weak ones.
- **Blockers** — what must be resolved before this can ship.
- **Lesson** — anything generalizable to other sources. Optional.
Write down the API endpoints and quirks you had to dig for. That digging is the
expensive part, and it is invisible in a verdict line.
---
## zpe.gov.pl — Zintegrowana Platforma Edukacyjna
**Investigated:** 2026-08-27
**Verdict:** `hold` — technically very tractable, blocked on per-material license
evidence. Do not build a fetcher until the license question below is answered.
Ministry of Education platform (successor to `epodreczniki.pl`), e-materials
across all school subjects. Attractive because the corpus has **no modern
instructional/pedagogic register at all**, and this is contemporary, clean,
editorially reviewed Polish prose.
### Enumeration — solved
There is no sitemap (`/sitemap.xml` → 404) and site search is client-side, but
`https://zpe.gov.pl/config.js` exposes an undocumented JSON API:
```
window.CP_CONFIGURATION = {... "apiUrl":"https://zpe.gov.pl/api/v1/" ...}
```
```
GET https://zpe.gov.pl/api/v1/search?query=&limit=20&offset=N
→ {"count": 23843, "offset": 0, "limit": 20,
"data": [{"id": "P18l4AKOi", "title": "Fotosynteza",
"subject": [...], "stage": [...], "tags": [], ...}]}
```
Verified directly (2026-08-27):
- `count` = **23,843** materials for the empty query.
- Deep paging works — `offset=5000` returns rows, no cursor needed.
- `robots.txt` is `User-agent: * / Allow: /`.
- Article pages `/a/<slug>/<CODE>` are **fully server-rendered**; text lives in
`data-editor-content` blocks. No JS execution required to extract prose.
- Book pages `/b/<slug>/<CODE>` render their material list client-side (0
server-side `/a/` links), so `/b/` is useless for crawling. Use the API.
Other endpoints probed and 404: `api/v1/materials`, `api/v1/document(s)/<CODE>`,
`api/v1/footer`, `api/v1/menu`, `api/v1/search/materials`. Only
`api/v1/search?query=` responded.
### License evidence — the blocker
**Verified directly:**
- **No document-level license marker exists in the served HTML.** The only
machine-readable license strings are per-figure, inside
`<div class="figure_caption_bibliography">`, e.g.
`Źródło: GroMar, licencja: CC BY 3.0.` and
`Źródło: Sławomir Szaruga, licencja: CC BY 3.0.` These attach to
**illustrations, not to the prose**.
- **The site footer is `<div id="footer_app"></div>` — JS-rendered.** This
matters: the accepted legal basis for both `govpl` and `samorzad_gov_pl` in
`src/sources.py` is a *server-side footer string* declaring CC BY-SA 4.0.
ZPE has no such string. **That precedent does not transfer to ZPE.**
- The platform `regulamin` states:
*"Korzystanie z Materiału odbywać się może tylko i wyłącznie w zakresie
dozwolonym przepisami ustawy o prawie autorskim i prawach pokrewnych"* —
statutory permitted-use only, which is not an open license. Reading the
surrounding clauses, this section appears scoped to material *uploaded by
users to* the platform rather than to ministry e-materials, but the wording is
not self-limiting and a reviewer will land on it.
**Second-hand, not verified — confirm before relying on any of it:**
- Ministry-produced e-materials are said to be CC BY 3.0, funded under
POKL 2007–2013 / POWER 2014–2020.
- User-contributed materials are reported to carry **CC BY-NC-SA 4.0**. NC is
already on the reject list (`source_scouting_v0_3.md`), so those must be
excluded, not merely flagged.
- Literary works embedded in e-materials are reported to sit under a
non-free *"licencja edukacyjna"* where authors or heirs did not agree to open
release. This is the highest-risk content class on the platform.
### Consequences for design
- ZPE cannot be a single-license shard. It has to be **per-record license-gated**,
`license_spdx: MIXED`, same shape as `biblioteka_nauki` and `europeana`.
- Available heuristic, **not** license evidence: ministry materials come back with
`subject` and `stage` populated; user uploads return `"subject": [], "stage": []`
(the first empty-query result is an all-caps user upload with both empty). Usable
as a pre-filter, useless as provenance.
- Rough size if ~10–15k ministry materials survive the gate: **~30–100M tokens**.
Estimate only — nothing was counted. Good register, modest scale.
### Extraction hazards (seen in a single sampled page)
- Interactive-exercise chrome: `Pokaż podpowiedź`, `Pokaż odpowiedź` buttons.
- JSON blobs embedded in `data-editor-params` attributes (`gameTitle`,
`feedbackPositive`, …) — must not leak into `text`.
- Per-figure attribution lines repeated throughout the body.
- Glossary / `Zapamiętaj!` boilerplate repeated across many materials — needs
frequency-based boilerplate detection, not a hand-written blocklist.
### What would unblock this
Any one of: a resolvable per-material license field (API or page markup); an
authoritative ORE/MEN page granting open reuse of e-material *text*; or written
permission. Absent that, ZPE stays out — the datasheet could not honestly answer
"where does the license statement live", which is a required field for any PR.
### Lesson
Check for a **server-rendered** license statement early. A JS-rendered footer is
not usable license evidence, and "it's a `gov.pl` domain" is not a license — the
`govpl` and `samorzad_gov_pl` entries hold up because a specific footer string
was fetched and quoted, not because of the domain.
---
## ParlaMint-PL — parliamentary debates 2015–2022
**Investigated:** 2026-08-27
**Verdict:** `ready to build, low yield` — license and distribution verified, the
fetcher is the only missing piece. But it is a **date-hole patch worth ~36M
net-new tokens**, not a diversity win. Size it before prioritising it.
Already registered in `src/sources.py` as `parlamint_pl`, but there is **no shard
in `data/`**.
### Size — measured, not guessed
From the official stats at
`github.com/clarin-eric/ParlaMint/tree/v5.0/Build/Metadata`
(`ParlaMint-overview-stats.tsv`, `ParlaMint-speeches-stats.tsv`):
```
ID Lang Bodies Ts From To Yrs Mw/Yr Mw
PL pl low+upp 4 2015-11 2022-06 6.7 5.35 36.06
```
- **36.06M words**, **228,326 speeches**, 4 terms, both chambers.
- Token conversion measured on our own `parliamentary` shard (same register, same
cl100k encoder; 6,000 docs / 9.7M words): **2.654 tokens/word**, 7.24 chars/word.
- → **~96M tokens gross**, ≈1% of the current 9.68B corpus.
- Download: `ParlaMint-PL.tgz`, 185.3 MB.
### Overlap with the existing `parliamentary` shard — the real issue
ParlaMint-PL is **derived from PPC**, which is exactly what the `parliamentary`
shard is (1991–2019). Time overlap runs 2015-11 → 2019-12, about 4.2 of the 6.7
years, ≈22M words likely already present. **Net new ≈ 14M words ≈ 36M tokens**,
covering 2020-01 → 2022-06.
That estimate is soft in both directions:
- `parliamentary` has **no per-document dates** — `created` is the single literal
`'1991-01-01, 2019-12-31'` on all 324,622 rows. The overlap cannot be measured
by filtering, only by comparing content.
- PPC includes committee sittings and interpellations; ParlaMint-PL is plenary
only. So ParlaMint's 2015–2019 portion is plausibly a *subset* of what already
ships, making the real overlap higher than the time-share implies.
**Exact dedup will not catch this.** `build_dynaword.py` dedups on `sha1` of the
whole document. ParlaMint ships one document per session; PPC's segmentation
differs, so byte-identical documents are unlikely and the duplicates pass
straight through the gate. This needs **near-dedup, for which the repo has no
committed tooling** — the HPLT expansion's near-dedup was run outside `src/`.
Budget for that, or the shard silently duplicates existing data.
### Version note
**ParlaMint 5.0 does not extend Polish** — PL still ends 2022-06, same as the 3.0
deposit already cited in `sources.py` (handle `11356/1486`; 5.0 is `11356/2004`).
Upgrading buys corrections, not coverage. Neither version closes the gap to
`sejm_api` (2023 onward): mid-2022 through end-2022 stays empty.
### Verified
- CLARIN.SI handle `11356/1486` resolves (HTTP 200). The `upstream` URL recorded
in `sources.py` is correct and live.
- License: **CC BY 4.0**, stated on the repository record.
- ParlaMint 3.0 overall: 26 comparable corpora, 7,468,674 utterances,
1,147,800,265 words; debates mostly 2015 → mid-2022.
- The distribution ships a **plain-text (`.txt`) edition** alongside TEI/XML and
linguistically-annotated `.ana.xml`. Filenames are per-session, e.g.
`ParlaMint-PL_2017-07-20-sejm-46-3.txt`. Use the `.txt` edition — no TEI parsing
needed.
- Polish covers **both chambers**: `-sejm-` and `-senat-` session files.
### Why it is still worth doing
Fills 2020 → mid-2022, between `parliamentary` (ends 2019) and `sejm_api` (2023
onward). Same CC-BY-4.0 family as existing sources, so there is no new license
question to answer, and the plain-text edition means no TEI parsing. Cheap. Just
do not expect it to move the totals — and do not build it before a source that
adds a register the corpus lacks.
### Drift found while checking
`src/sources.py` (the `parlamint_pl` `provenance` field) states the corpus was
*"Fetched directly from the CLARIN.SI plain-text edition (ParlaMint-PL.tgz) by
`src/fetch_parlamint.py`"*. **That script does not exist in `src/`.** The
provenance describes a fetch that no committed code performs. Either write the
script or correct the field before this ships.
---
## Sejm API — interpelacje and zapytania poselskie
**Investigated:** 2026-08-27
**Verdict:** `hold — recheck`. Not a license problem; `api.sejm.gov.pl` was
unreachable from the investigating network on the day, so the endpoints could not
be confirmed. Retry before writing anything off.
### What happened
- `api.sejm.gov.pl` resolves (`194.41.12.231`) but every request hangs and then
fails — plain `curl` times out at 45s, a proxied fetch returns `ECONNRESET`.
- `https://www.sejm.gov.pl/` responds normally (302), and other external hosts
were fine the same session, so this is specific to the API host: either an
outage, or that host filtering the source network.
- `src/fetch_sejm_api.py` (committed, working) uses this same host, so the API
is normally reachable. Treat as transient until proven otherwise.
### Unverified — what to check on retry
- Whether `sejm/term{N}/interpellations` and `sejm/term{N}/writtenQuestions`
exist, and their paging parameters.
- Whether the **ministry's reply body** is retrievable as text, or only as a
linked PDF. This decides whether the source is worth building: the replies are
the substantial half.
- Document counts per term.
### Why it is on the list
Reuses the existing `fetch_sejm_api.py` legal basis unchanged — official
parliamentary materials outside copyright under art. 4(2) pr. aut., reusable
under the Open Data Act. Question/answer prose is argumentative register, which
the corpus is short on. No new license work needed.
---
## CLARIN-PL DSpace (PELCRA Spokes, and the `1000_novels` upstream)
**Investigated:** 2026-08-27
**Verdict:** `blocked — temporary`. The repository is down for reorganization.
Nothing to decide until it returns.
### Verified
- `https://clarin-pl.eu/dspace/` serves a maintenance notice:
*"Trwają prace nad repozytorium. Prowadzimy prace serwisowe oraz reorganizację
repozytorium DSpace… Repozytorium będzie ponownie dostępne wkrótce."*
- Every item handle under it 404s: `11321/312`, `11321/544`, `11321/545`,
`11321/547` — nginx 404, not a DSpace "item not found".
- The global resolver is broken for this prefix too: `hdl.handle.net/11321/*`
returns **HTTP 500**.
So no PELCRA record (Spokes, EMO, PARL, EMI) can have its license checked right
now. Conversational Polish remains the corpus's biggest register gap, so this is
worth re-checking periodically.
### Side effect on shipped data
`src/sources.py` records `https://clarin-pl.eu/dspace/handle/11321/312` as the
`upstream` for **`1000_novels`**, which is a released shard. That URL currently
does not resolve. Presumed temporary, but the citation in a published datasheet
is dead as of this date.
### Expected concern when it returns
PELCRA spoken corpora are transcribed private conversation. Expect NC-flavoured
or restricted licensing, and expect a personal-data question — these recordings
involve identifiable private individuals, not public officials acting officially.
Both must be resolved before use.
---
## NIK — Najwyższa Izba Kontroli audit reports
**Investigated:** 2026-08-27
**Verdict:** `hold` — permissive but **non-standard** license, and enumeration is
unsolved. Viable with work; not a quick win.
### License evidence — verified
`https://www.nik.gov.pl/zasady/prawa-autorskie.html` states:
> *"Korzystanie z materiałów publikowanych w serwisach internetowych Najwyższej
> Izby Kontroli nie wymaga uzyskania zgody NIK. Nie dotyczy to elementów odrębnie
> zastrzeżonych (do których prawa autorskie przysługują osobom trzecim), w
> szczególności oznaczonych materiałów zdjęciowych oraz tekstów publikowanych
> pierwotnie w innych źródłach."*
Attribution to *"Najwyższa Izba Kontroli (nik.gov.pl)"* is requested, not required.
Assessment: a **custom permissive notice, not a standard open license** — no CC,
no CC0, no SPDX identifier. It carries a third-party carve-out that matters here,
because audit reports quote external sources. A separate and probably stronger
argument is that audit reports are *materiały urzędowe* under art. 4 pkt 2 pr.
aut., the same basis as `dziennik_ustaw` and `sejm_api`. If this source is built,
lead with the statutory argument and cite the site notice as corroboration.
### Enumeration — unsolved
- `robots.txt` allows crawling, but disallows `/szukaj/`, `/p/`, `/g2/`,
`/cms/`, `/do_druku/`. `/g2/` looks like the file store, which likely means
**report PDFs are off-limits to crawlers**.
- `/kontrole/wyniki-kontroli-nik/` returns 200 (~72 kB) but the report list is
**JS-rendered**: zero report links in the server HTML, only pagination
scaffolding (`fmax,js,strona,1.html`).
- The `/prosta/` ("simple") variant is also JS-rendered — 0 report links.
- No `/sitemap.xml` (404).
Same shape as ZPE: a backend API almost certainly exists and would need to be
found (check the page's JS config for an `apiUrl`, as worked for ZPE).
### Verdict rationale
Register value is real — long-form analytical prose, unlike statute text. But
between a bespoke license, a third-party-content carve-out, PDF paths blocked by
`robots.txt`, and unsolved enumeration, this is several days of work. Lower
priority than ParlaMint-PL or Sejm interpelacje.
---
## Billion-scale survey — what can actually move the totals
**Investigated:** 2026-08-27
Context: most candidates land at 30–200M tokens, which is noise against a 9.68B
corpus. This entry records the only options measured at **500M–5B**, i.e.
comparable to `european_hplt_v3_pl` (2.56B), `eurlex` (2.38B), `parliamentary`
(1.65B). All numbers below were measured on the day, not taken from cards.
Token conversion throughout: **2.654 tokens/word**, measured on the repo's own
`parliamentary` shard (6,000 docs / 9.7M words, cl100k). Use it instead of
guessing — Polish runs far above the ~1.3 rule of thumb for English.
| candidate | measured | est. tokens | license | blocker |
|---|---|---|---|---|
| SAOS judgments | 540,338 docs, mean 3,067 w | **~4.4B** (floor ~2.8B) | art. 4 pkt 2 pr. aut. | register: pure legal |
| FineWeb-2 `pol_Latn` | 152,003,298 docs, 225.9 GB | ~83B raw, **4–8B** filtered | ODC-By | dedup vs existing HPLT |
| PleIAs/Polish-PD | 68,176 docs, 0.75B words | **~2.0B** nominal | public domain | OCR corruption |
| HPLT leftovers | shards `8_5`, `8_6`, 31.6 GB | ~230M | CC0 | none — just small |
### SAOS — biggest clean win, already half-built
`https://www.saos.org.pl/api/search/judgments?pageSize=1&pageNumber=0` reports
`totalResults: 540338`. Sampled 100 judgments from
`api/dump/judgments?pageSize=100&pageNumber=0`: **mean 3,067 words, median 1,920,
p10 816, p90 7,197**, court types `COMMON` and `CONSTITUTIONAL_TRIBUNAL`.
540,338 × 3,067 = 1.66B words → **~4.4B tokens**. Using the median instead, to
guard against long-tail skew, still gives ~2.75B. Either way this is **larger
than any shard currently in the corpus**.
`src/fetch_saos.py` already exists (uncommitted as of this date) and documents the
legal basis: judgments are *materiały urzędowe* outside copyright under art. 4
pkt 2 pr. aut., redistributed by SAOS (CeON/ICM UW + Fundacja ePaństwo) through a
bulk-dump API built for exactly this.
Open question before building: judgments are court-anonymised, but that should be
**verified on sampled text**, not assumed — this is the one candidate here where
personal data is a live risk rather than a formality.
Cost of shipping it: legal/official goes from **48% to roughly 65%** of the
corpus. That is the trade, and it should be a deliberate decision rather than a
side effect of it being the easy build.
### FineWeb-2 Polish — only billion-scale contemporary prose
`datasets-server` size endpoint, config `pol_Latn`: **152,003,298 rows /
225.9 GB**. At the measured 0.367 tokens/char that is **~83B tokens raw**.
License `odc-by`. Same argument shape as the accepted HPLT basis: the packaging
is licensed, the underlying web text is not owned by the publisher. Note that
ODC-By is **attribution-required**, unlike HPLT's CC0 — a different obligation
shape, and it has to be stated in the datasheet.
#### Dedup is not the bottleneck — this was checked, not assumed
The obvious worry is overlap with the existing HPLT shard, since both derive from
Common Crawl. It is the *smallest* of the problems:
- The existing HPLT shard is **1.6M docs against FineWeb-2's 152M**. Even total
overlap removes ~1% of candidates (~12% if working from the HQ subset below).
- **Internal dedup is already done upstream.** The schema carries
`minhash_cluster_size`, i.e. FineWeb-2 ran MinHash per language before release.
Cross-dedup against HPLT is still worth doing for hygiene, and the repo still has
no committed near-dedup tooling — but it is not what makes this source expensive.
#### The actual blocker: the HPLT gate cannot be ported
FineWeb-2 `pol_Latn` columns are:
```
text, id, dump, url, date, file_path, language,
language_score, language_script, minhash_cluster_size, top_langs
```
`src/clean_hplt_v3.py` filters on **WDS quality score, register class
(ID/OP/HI/IN/NA), and MT-probability**. *None of those exist in FineWeb-2.* Every
signal the existing web pipeline depends on is absent, so "filter it like we
filtered HPLT" is not an option — it would mean building quality classification
over 152M documents from scratch.
#### `epfml/FineWeb2-HQ` — the better target
A published quality-filtered derivative, config `pol_Latn`:
- **13,384,885 rows**, `odc-by`, 180.4 GB parquet (size dominated by an
`embeddings` column, not text).
- Adds a **`quality_score`** column, retained per document, so the selection
threshold stays a tunable knob instead of a baked-in decision — and the
classifier is someone else's published work, which is easier to cite than a
home-grown one.
- Sampled 880 docs across 22 evenly-spread offsets: **mean 2,663 chars/doc**
→ ~13.1B tokens for the whole HQ subset. Larger than the entire current corpus.
#### quality_score → token yield
Distribution from the `statistics` endpoint (computed on a **partial 407,184-row
sample**, not all 13.4M): min 0.013, max 0.9999, mean 0.145, **median 0.0496** —
heavily right-skewed, so most of HQ still scores low.
Doc fractions from that histogram, mean lengths from the 880-doc sample:
| `quality_score` ≥ | % docs | docs | mean chars | est. tokens |
|---|---:|---:|---:|---:|
| 0.00 (all) | 100% | 13,384,885 | 2,663 | **13.1B** |
| 0.11 | 31.0% | 4,149,000 | 2,375 | **3.6B** |
| 0.21 | 20.0% | 2,677,000 | 2,074 | **2.0B** |
| 0.31 | 14.6% | 1,954,000 | 1,929 | **1.4B** |
| 0.41 | 11.1% | 1,486,000 | 1,912 | **1.0B** |
| 0.51 | 8.5% | 1,138,000 | 1,798 | **0.75B** |
| 0.70 | 4.8% | 642,000 | 1,750 | **0.41B** |
| 0.90 | 1.8% | 241,000 | 914 | **0.08B** |
A second pass computing fractions directly from the 880-doc sample agreed with
these within ~15%. Treat them as ±20%, good enough to pick a threshold.
**Watch out: `quality_score` anti-correlates with document length.** Mean length
falls from 2,663 chars at no threshold to 914 at ≥0.90. The classifier is not
rewarding long-form prose, so raising the threshold costs more tokens than the
doc-count alone implies, and it may actively select *against* the extended prose
this corpus is short on. Sample the text at whatever threshold is chosen before
committing to it.
#### Recommended operating point
**Threshold ≈ 0.20 → ~2.7M docs, ~2.0–2.3B tokens.** Comparable to the largest
existing shards (`european_hplt_v3_pl` 2.56B, `eurlex` 2.38B) and it *improves*
the balance rather than wrecking it: web goes 26% → ~41%, legal drops 48% → ~39%.
Taking all 13.1B instead would put the corpus at ~22.7B with **web at ~69%** —
trading "two-thirds legalese" for "two-thirds crawl". Same failure, different axis.
#### Work order if this is built
1. Pick HQ vs full, and a `quality_score` threshold (see above).
2. **Build the PII scrub.** `sources.py` already claims one for the HPLT shard
that has no implementing code in `src/`; shipping a second web source with the
same gap is indefensible.
3. Near-dedup against the existing HPLT shard — needed, but ~1–12% effect.
4. Compute. Tokenizing billions of tokens is the genuinely expensive step.
### PleIAs/Polish-PD — good on paper, rough in practice
68,176 rows. Sampled `word_count` at four offsets (n=200): **mean 10,971 words,
median 8,468** → ~0.75B words → **~2.0B tokens**. Columns are `identifier`,
`file`, `title`, `creator`, `language`, `word_count`, `character_count`,
`complete_text`. Public domain, pre-1884 monographs and periodicals, largely
sourced from Polish digital libraries (`jbc.bj.uj.edu.pl` in the sample).
Register-wise this is the most attractive of the three — books and periodicals,
against a corpus that is only 1.9% literature.
But the OCR is bad. First sampled record (an 1817 newspaper) opens:
```
U
RUSKI
czwaRTEŁ SONAER
5 PC Nę R
WIADOMOŚC
```
with pre-1884 orthography throughout (`Nayiaśnieyszy`, `roskazać`, `klassy`).
**The existing OCR gate will not catch this.** `build_dynaword.py` applies
`MIN_ALPHA_RATIO = 0.70` when `is_ocr: True`, which tests the ratio of letters to
symbols. Garbled *words* made of ordinary letters pass it cleanly. Filtering this
source needs a dictionary- or perplexity-based check, which does not exist here.
Treat the 2.0B as nominal; real usable yield is materially lower.
### HPLT is exhausted — correction to an earlier assumption
`https://data.hplt-project.org/three/sorted/pol_Latn/` lists **exactly 19 shards**:
`10_1`, `9_1`–`9_4`, `8_1`–`8_6`, `7_1`–`7_4`, `6_1`–`6_2`, `5_1`–`5_2`.
**There are no WDS bins below 5 for Polish.**
`sources.py` records 17 of those as ingested. The only unused shards are
**`8_5` (24.24 GB)** and **`8_6` (7.37 GB)** — roughly 230M tokens at the
post-filter rate implied by the existing shard.
So "add more HPLT bins" is not a path to billions. It is one small top-up, and
then the source is finished.
### Conclusion
Every clean billion-scale Polish source is **legal, official, or archaic** —
which follows directly from what falls outside copyright. The only billion-scale
contemporary general prose is web crawl, and that is a re-derivation of Common
Crawl the corpus already draws on.
If the goal is raw scale: SAOS. If the goal is a corpus that is not two-thirds
legalese, **there is no billion-scale option**, and the honest plan is a number of
50–200M-token sources across different registers.