Fix table-to-scan alignment and preserve unresolved exports

Repeated, irregular and unlabelled printed-page sequences caused the `tables` config to attach some exported tables to the wrong scan. This PR matches each existing table against its report's page ALTO, separates tables that had been conflated onto one image, and preserves ambiguous items explicitly.

- 451 table items move to different scans; 3,529 retain their original scan; 106 remain unresolved in a side artifact with their original CSVs.
- Repaired rows: train 2,520, validation 302, test 327 (3,149 total; 3,980 attached table items). All 4,086 original IDs/CSV payloads and report split assignments are conserved across the config and unresolved artifact.
- Three replacement Parquet shards, source/decision ledgers, a local-only UV reproduction script, and corrected card wording. The default corpus and licences are unchanged. This is an alignment repair, not a transcription or image-resolution upgrade.

Validation covers all 288 reports/24,052 page ALTO documents, schema/provenance/split/payload invariants, all embedded JPEGs, and replay of the published scorer. All six previously identified wrong-scan items are corrected and 24 previously aligned items retain their scans. A fresh risk-enriched sample of 58 tables plus eight low-margin train/validation moves was inspected against source images. Two low-margin items were retained through explicitly documented agent visual adjudications; thresholds were not tuned to rescue them.

The card now states the limits clearly: ALTO agreement and agent spot checks do not make these machine-extracted CSVs gold labels, and the attached tables may not exhaustively annotate a page. See `audits/table-alignment-2026-09-09/README.md` for counts, thresholds, sampling caveats and exact per-table decisions.

Base revision: `1a726bbb3a8dc8f3499cf2db0a983865ab6fd2b6`. Open for dataset-owner review; no merge is performed.

README.md

@@ -46,16 +46,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 404220670
-    num_examples: 2422
+    num_bytes: 448527779
+    num_examples: 2520
   - name: validation
-    num_bytes: 48929088
-    num_examples: 279
+    num_bytes: 52884161
+    num_examples: 302
   - name: test
-    num_bytes: 49166432
-    num_examples: 299
-  download_size: 526217406
-  dataset_size: 502316190
+    num_bytes: 56707410
+    num_examples: 327
+  download_size: 554397290
+  dataset_size: 558119350
 configs:
 - config_name: default
   data_files:
@@ -82,7 +82,7 @@ historical public-health records — dense statistical tables, mixed layouts, ce
 | config | rows | what |
 |---|---|---|
 | `default` | 391,964 pages / 4,886 reports | every **page image** + its report's OCR text + licence |
-| `tables` | 3,000 table pages / 288 reports | pages that **contain a table**, each paired with that page's **extracted-table ground truth** — dual-purpose: page-type/classifier training **and** an OCR/VLM **table-extraction eval set** |
+| `tables` | 3,149 pages / 288 reports | selected page images paired with 3,980 machine-extracted tables; silver labels for page-type training and exploratory table-extraction evaluation |
 
 ```python
 from datasets import load_dataset
@@ -90,7 +90,7 @@ from datasets import load_dataset
 # full corpus (stream — it's ~110 GB)
 ds = load_dataset("biglam/londons-pulse-moh", split="train", streaming=True)
 
-# tables subset (small; image + ground-truth tables)
+# tables subset (small; image + silver table targets)
 tab = load_dataset("biglam/londons-pulse-moh", "tables", split="test")
 ```
 
@@ -114,39 +114,65 @@ tab = load_dataset("biglam/londons-pulse-moh", "tables", split="test")
 
 ## `tables` config — columns
 
-One row per **table page**: the page image plus the machine-extracted table(s) Wellcome
-published for that page. Use it two ways — (1) as `table`-labelled training data for
-page-type/layout classifiers (the `table` class is scarce in book-domain sets), and (2) as an
-**OCR/VLM table-extraction benchmark**: feed `image`, score the model's output against
-`table_ground_truth`.
+One row per scan with at least one matched table from Wellcome's machine-extracted
+export. The attached tables are a **selected subset**, not an exhaustive annotation of
+every table visible on the page. The CSV content remains uncorrected silver data.
+Use for `table` page-type training or exploratory OCR/VLM evaluation with that limitation.
 
 | column | type | description |
 |---|---|---|
 | `image` | `Image` | the page scan |
 | `page_type` | `string` | `"table"` |
 | `table_ground_truth` | `string` | JSON list of `{table_id, csv}` — the extracted table(s) on that page |
-| `n_tables_on_page` | `int32` | number of tables on the page |
-| `b_number`, `page_index`, `printed_page` | | report id, scan index, printed page |
+| `n_tables_on_page` | `int32` | number of attached export tables; may be fewer than the tables visible on the page |
+| `b_number`, `page_index`, `printed_page` | | report id, 1-based scan index, original numeric printed-page value (nullable when regrouped values differ); exact export labels are in `signals.export_page_labels` |
 | `source_collection`, `label_source`, `split`, `signals` | | provenance (`label_source="table-export"`) |
 
-Stratified across all 12 decades; grouped train/val/test split (a report is wholly in one
-split — no page leakage). `table` = a page from which Wellcome extracted ≥1 table (so a page
-may also contain prose); printed→scan alignment via IIIF canvas labels, verified, with
-composite/multi-section reports excluded.
+The original selection spans all 12 decades. Train/validation/test assignments remain
+grouped by report, with no report shared across splits. After the September 2026 alignment
+repair there are 2,520 / 302 / 327 rows respectively. Page counts increased because tables
+previously conflated by repeated printed-page numbers now occupy separate scans.
+
+Alignment uses each table's content against **every page's ALTO in its report**;
+numeric canvas labels alone do not decide the match. The automated rule requires
+IDF-weighted token containment ≥0.70, a margin ≥0.10 over the next-best scan, and at least
+eight distinct content tokens. Two low-margin matches were retained after explicitly
+recorded agent visual checks. These scores measure agreement with source OCR, not the
+probability of a correct annotation. Limited image checks supplement the automated pass;
+the entire dataset has not been manually verified.
+
+The [alignment audit](audits/table-alignment-2026-09-09/README.md) accounts for all 4,086
+original table items: 3,529 retained on their original scan, 451 moved, and 106 unresolved.
+Unresolved items are excluded from the image/table config and preserved with their original
+CSV content in [unresolved.jsonl](audits/table-alignment-2026-09-09/unresolved.jsonl).
+Table IDs, CSV strings and original report split assignments are conserved across the
+config and that side artifact. The `default` corpus is unchanged.
 
 > [!NOTE]
-> **Ground-truth quality — silver, not gold.** The tables are **machine-extracted** (OCR-based table recognition), not hand-transcribed. Spot-checks against the page images show **numeric cell values are highly accurate** (often exact), while **captions/text labels carry occasional OCR errors** (e.g. `classes`→`olasses`, `(S.1)`→`(S.l)`), multi-level headers are flattened, and sparse tables have imperfect empty-cell alignment / inconsistent nil markers (`-`, `_`, blank). Each CSV is prefixed with an id line, a `Page,NNN` line, and the table caption. **Use as a silver benchmark target**: score numeric cells exactly, fuzzy-match text, and don't penalise a model for the GT's own OCR noise. A small hand-corrected gold subset is recommended for headline results.
+> **Target quality — silver, not gold.** These tables were extracted by OCR/table recognition,
+> not hand-transcribed. Known errors include incorrect digits, lost fractions, noisy captions
+> and labels, flattened headers, shifted or missing cells, and inconsistent nil markers.
+> Correcting the scan association does **not** correct those errors. Neither exact numeric
+> scoring nor fuzzy text matching by itself accounts for this noise. Use an independently
+> reviewed reference set for headline evaluation results. The original CSV strings, including
+> any literal escaped line endings, are preserved; the repair script interprets those escapes
+> only when parsing content for alignment.
 
 ## Provenance & reproducibility
 
 - **Images**: Wellcome [IIIF Presentation v2 API](https://iiif.wellcomecollection.org/),
-  keyed on each report's b-number, full native resolution.
+  keyed on each report's b-number. `default` uses native resolution; `tables` retains the
+  existing approximate 800/1,000-pixel width convention, including for replacement scans.
+  Actual dimensions (including IIIF rounding differences) are recorded in `signals.image_size`.
 - **Text** (`default`): the bulk `Fulltext.zip` corpus from
   [wellcomelibrary.org/moh](https://wellcomelibrary.org/moh/), joined on b-number.
 - **Tables** (`tables`): Wellcome's `All_Report_Tables` export (~275k machine-extracted
-  tables); each table's `Page,NNN` line resolves to a scan image via the manifest's numeric
-  canvas labels.
-- `signals` records the exact manifest + image service for every page.
+  tables). The original numeric-label resolver conflated duplicate and irregular printed
+  page labels. The [repair script](scripts/repair_table_alignment.py) performs report-wide
+  ALTO content matching and preserves the original export payloads.
+- `signals` records the manifest and image service for each page. In `tables` it also
+  records the canvas label, export-page labels, image dimensions, source dataset revision
+  and alignment audit location. Per-table decisions and source checksums are in the audit.
 
 ## Licence
 
@@ -168,4 +194,5 @@ Images: `iiif.wellcomecollection.org` · Text/tables: `wellcomelibrary.org/moh`.
 
 Historical OCR/VLM evaluation, document layout analysis, page-type classification, and
 structured extraction from century-old public-health tables (disease incidence, mortality).
-The `tables` config is the substrate for an image→table extraction benchmark.
+The `tables` config provides candidate material for image→table extraction evaluation;
+reliable headline results require independently reviewed references.

audits/table-alignment-2026-09-09/README.md

@@ -0,0 +1,90 @@
+# Tables alignment repair — September 2026
+
+Source dataset: `biglam/londons-pulse-moh` at revision
+`1a726bbb3a8dc8f3499cf2db0a983865ab6fd2b6`.
+
+The previous numeric canvas-label lookup could overwrite duplicate labels and assign tables
+from later, unlabelled sections to an earlier page with the same printed number. Irregular
+labels also failed that lookup. This repair matches each of the existing table items against
+all canvas ALTO texts in its report, then groups accepted items by the selected scan.
+It changes only the `tables` shards and associated documentation; the default corpus,
+CSV payloads, source licences and report-to-split assignments remain unchanged.
+
+## Coverage and decisions
+
+- 288 reports, 24,052 canvases, 4,086 distinct original table IDs.
+- All source manifests and ALTO documents were fetched and parsed. Seven ALTO documents
+  have invalid XML block nesting or page attributes. For those, every complete `String`
+  element was parsed separately, with the count checked against the source text. The
+  original XML checksums and fallback parser are recorded in `source-alto.jsonl`.
+- 3,529 table items retained their scan, 451 moved, and 106 remain unresolved.
+- The resulting 3,980 attached table items occupy 3,149 page rows. Some original rows
+  contained tables from multiple scans, so separating them increases the row count.
+
+| Split | Original rows | Repaired rows | Retained table items | Moved | Unresolved |
+|---|---:|---:|---:|---:|---:|
+| train | 2,422 | 2,520 | 2,875 | 320 | 78 |
+| validation | 279 | 302 | 330 | 43 | 13 |
+| test | 299 | 327 | 324 | 88 | 15 |
+
+`decisions.jsonl` records every original table ID, original split/row/scan, selected scan
+(or null), original CSV SHA-256, scores and top candidates. `unresolved.jsonl` additionally
+preserves the original CSV for every excluded item. No unresolved item is paired with a
+guessed image. Exclusion indicates insufficient alignment evidence, not necessarily an
+incorrect original association. Two low-margin items were retained through explicit agent visual adjudications in
+`adjudications.json`: one from the earlier regression sample and one from the fresh sample.
+
+## Matching rule
+
+The CSV is parsed with `csv.reader`; only a scoring copy interprets source literal escaped
+line endings and quotes. The initial table identifier and `Page` rows are excluded.
+Tokens are lowercase ASCII alphanumeric runs of length greater than one; `nil` is omitted.
+No numeric multiplier is used. For a report with N canvases, token weight is
+`1 + log((N + 1) / (document_frequency + 1))`. Containment is the sum of weights of table
+tokens present in a page, divided by all table-token weights.
+
+The automated acceptance rule is containment ≥0.70, margin over the second-best page ≥0.10,
+and at least eight distinct table tokens. This rule was fixed after inspecting a preliminary
+20-report/250-table distribution, before checking the previously audited sample and the
+fresh test sample. The two explicit visual adjudications do not alter the thresholds.
+No new table transcriptions were generated; original CSV strings were preserved.
+
+ALTO and exported tables are both source OCR. Their agreement is useful alignment evidence,
+not independent proof of transcription accuracy, grid correctness or annotation completeness.
+An attached table list need not include every table in its scan.
+
+## Validation
+
+The six previously identified wrong-scan table items all moved away from their erroneous
+scans. Of 24 previously aligned items, 23 passed automatically without moving; the remaining
+one retained its scan after agent visual inspection of its caption and distinctive values.
+These are development/regression checks, not a population error-rate estimate.
+
+Eight additional accepted moves from distinct train/validation reports were checked against
+the actual output images, choosing low-margin cases. All eight images contained the selected
+table; captions/dates and distinctive values matched. Evidence is in `additional-visual-checks.json`.
+Visual checks are agent reviews, not human-certified gold transcription.
+
+A fresh, risk-enriched test sample contained 30 original rows (20 previously flagged and
+10 unflagged), excluding rows containing any of the earlier 30 audited table items. Those
+rows contain 58 tables on 44 candidate images. Before visual adjudication, the fixed rule
+accepted 32 moves and 25 unchanged matches, with one unresolved candidate. Independent
+agent image reviews found all 58 candidates aligned; the unresolved low-margin candidate
+was then retained by explicit adjudication. This is not 58 automatic successes, a random
+population estimate, or human-certified gold. See `fresh-visual-checks.json` for selection,
+individual evidence and the before/after distinction.
+
+Further validation details and invariants are recorded in `validation.json`.
+
+## Reproduction and source receipts
+
+Run `uv run scripts/repair_table_alignment.py --work-dir /path/with/several-GB-free`.
+The script downloads only the pinned source card and tables shards, caches source ALTO in
+gzip form, and writes replacement shards and ledgers locally. It never uploads. An
+`--offline-build` option uses a complete existing score/image cache. The script's `--help`
+describes these options. Raw source endpoints are live; compare the manifest/ALTO checksum
+ledgers with this run before claiming an exact reproduction.
+
+Unchanged page images keep their original bytes. Replacement scans use the source row's
+existing image width; this is not an image-resolution upgrade. Image and canvas provenance
+are in each row's `signals`. `summary.json` records split sizes and artifact byte counts.

audits/table-alignment-2026-09-09/additional-visual-checks.json

@@ -0,0 +1,77 @@
+{
+  "selection": "Eight low-margin accepted moves from different train/validation reports; sorted by margin with one table per report. Selected after thresholds were frozen.",
+  "checks": [
+    {
+      "table_id": "10199552300080000",
+      "b_number": "b19955236",
+      "scan": 9,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "Contracts table, April 1872/February 1873, Manuelle granite prices and Hobbs road-watering match."
+    },
+    {
+      "table_id": "10182513400850041",
+      "b_number": "b18251341",
+      "scan": 86,
+      "split": "validation",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "St Pancras Schedule B dated August 29 1857; Peritonitis 1, Ascites 2, Ileus 1 match."
+    },
+    {
+      "table_id": "10199528300910037",
+      "b_number": "b19952831",
+      "scan": 92,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "Vestry employment table: Battersea 12, Bermondsey 6, Camberwell 13 and their holiday/wet-weather entries match."
+    },
+    {
+      "table_id": "10182541800610028",
+      "b_number": "b18254184",
+      "scan": 62,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "St Marylebone Table V dated February 27 1904; Measles 4, Whooping Cough 2, Diphtheria 2 match."
+    },
+    {
+      "table_id": "10198833400700049",
+      "b_number": "b19883341",
+      "scan": 71,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "London Hospital Table IX dated October 1 1859; brought-forward total46 and smallpox total2 match."
+    },
+    {
+      "table_id": "10199544600240007",
+      "b_number": "b19954463",
+      "scan": 21,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "Lewisham receipts/expenditure year ending March25 1874: cash5835/14/4, bookkeeper21/2/3, General Purposes10212/13/11 match."
+    },
+    {
+      "table_id": "10182541900730029",
+      "b_number": "b18254196",
+      "scan": 74,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "St Marylebone Table III dated March4 1905: Measles4, Scarlet Fever2, Whooping Cough2 match."
+    },
+    {
+      "table_id": "10182513500350020",
+      "b_number": "b18251353",
+      "scan": 36,
+      "split": "train",
+      "reviewer": "agent-visual-review",
+      "page_contains_table": true,
+      "evidence": "St Pancras Schedule B dated December26 1857: Measles16, Scarlatina12, Hooping Cough14 match; original CSV retains OCR errors."
+    }
+  ]
+}

audits/table-alignment-2026-09-09/adjudications.json

@@ -0,0 +1,12 @@
+{
+  "10182507101080033": {
+    "scan": 109,
+    "method": "agent-visual-review",
+    "reason": "Rates table for 1901-2 with Clapham, Putney, Streatham, Tooting and Wandsworth matches scan109: relief of poor1s10d each; total rates7s1d/7s1d/7s2d/6s11d/7s3-and-a-half-d. Source fraction transcription remains imperfect. This fresh-sample candidate was unresolved automatically (margin0.072), then retained after independent agent image review."
+  },
+  "10199535100160005": {
+    "scan": 14,
+    "method": "agent-visual-review",
+    "reason": "FINANCE COMMITTEE table matches scan 14: meetings total 16; Bennell 4/1/3/4 total 12; Chamberlen 6/0/3/5 total 14; Easton 1/2/2/5 total 10; June 1881 retirement/election notes also match. Low automated margin reflects similar neighbouring table content."
+  }
+}

audits/table-alignment-2026-09-09/fresh-visual-checks.json

@@ -0,0 +1,608 @@
+{
+  "selection": {
+    "seed": 20260909,
+    "original_test_rows": 30,
+    "previously_flagged_rows": 20,
+    "unflagged_rows": 10,
+    "excluded_original_audit_30_tables": true,
+    "table_items": 58,
+    "distinct_candidate_images": 44,
+    "scope": "Purposive risk-enriched test sample; alignment only, not population error estimate or transcription accuracy."
+  },
+  "automated_decisions_before_visual_adjudication": {
+    "moved": 32,
+    "retained": 25,
+    "unresolved": 1
+  },
+  "candidate_visual_results": {
+    "aligned": 58,
+    "misaligned": 0
+  },
+  "post_review_adjudication": {
+    "table_id": "10182507101080033",
+    "decision": "retain original scan109",
+    "reason": "Automated low-margin candidate confirmed by independent agent visual review; threshold unchanged."
+  },
+  "checks": [
+    {
+      "table_id": "10182486700070001",
+      "verdict": "aligned",
+      "evidence": "Printed page4 shows birth excess1867=3365,1866=2873,1865=2712 through1862=2363 below births table.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 8,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700070000",
+      "verdict": "aligned",
+      "evidence": "Births table on printed page4: first quarter west474/485/959, east556/456/1012; grand total7374.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 8,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700110005",
+      "verdict": "aligned",
+      "evidence": "Bottom fever table printed page8:1860 deaths76/cases152,1866 125/353,1867 97/223.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 12,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700110004",
+      "verdict": "aligned",
+      "evidence": "Middle whooping cough table:1860 92/304,1861 209/529,1867 115/330.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 12,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700110003",
+      "verdict": "aligned",
+      "evidence": "Top scarlet fever table:1860 135/253,1863 392/672,1867 144/641.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 12,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700230012",
+      "verdict": "aligned",
+      "evidence": "TableIII Dec30 1866\u2013Jan26 1867; houses123/123/120/77 total443 and water supplied7/4/2/7 total20.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 24,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700230011",
+      "verdict": "aligned",
+      "evidence": "TableII four weeks ending Jan26 1867; smallpox1/1/25/5/2 total34; grand totals94/12/964/667/550/195=2482.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 24,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700310018",
+      "verdict": "aligned",
+      "evidence": "TableIII Feb24\u2013Mar30 1867; houses147/172/96 total415; traps40/13/5=58.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 32,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700310017",
+      "verdict": "aligned",
+      "evidence": "TableII five weeks ending Mar30 1867; smallpox43/5/5=53; grand totals126/17/1190/1029/709/273=3344.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 32,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700350021",
+      "verdict": "aligned",
+      "evidence": "Table III Mar31\u2013Apr27 1867: houses164/305=469; traps28/19=47; water16/5=21.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 36,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700350020",
+      "verdict": "aligned",
+      "evidence": "Table II four weeks ending Apr27 1867; smallpox35/4/9=48; grand totals84/29/812/750/582/232=2489.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 36,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182486700550034",
+      "verdict": "aligned",
+      "evidence": "Table I deaths five weeks ending Sept28 1867: all causes west146/east187 total333, respiratory total31 and bronchitis18.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18248676",
+      "scan": 56,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182507101080033",
+      "verdict": "aligned",
+      "evidence": "Landscape rates table for1901\u20132, Clapham/Putney/Streatham/Tooting/Wandsworth; relief of poor1s10d each and total rates7s1d/7s1d/7s2d/6s11d/7s3\u00bdd. CSV fraction transcription imperfect, page alignment clear.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18250713",
+      "scan": 109,
+      "original_scan": 109,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182507101180042",
+      "verdict": "aligned",
+      "evidence": "Statement of Contracts continued, printed119: June24 1903 W.E.Mason sanitary fittings Tooting Broadway; July8 F.J.Coxhead river wall Wandsworth; Jan6 1904 John Hollway old iron and George Rowe four slop vans.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18250713",
+      "scan": 119,
+      "original_scan": 119,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10199535100590031",
+      "verdict": "aligned",
+      "evidence": "General Permanent Works Account continued, March 31 1882; brought-forward 9276 10 10 and 5723 11 3, Glenthorne Road 387 6 5, balance 1862 15 3 all visible. Alignment only; minor CSV OCR/cell differences not audited.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19953513",
+      "scan": 57,
+      "original_scan": 55,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700100004",
+      "verdict": "aligned",
+      "evidence": "Contracts for Performance of Special Works; Silwood Street / William Webb 25 February 1878, price 430 and completed quantity 230; Luxford Street / Charles Kent February 1879, 178 matches. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 8,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700420018",
+      "verdict": "aligned",
+      "evidence": "Lower Table No.5 matches caption 1869\u20131878 and 1879; Scarlet Fever 1870=124, average25.8,1879=76; total1879=188 and London12256 visible. Alignment only, not full cell verification.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 40,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700420017",
+      "verdict": "aligned",
+      "evidence": "Upper Table No.4 mortality 1879; Zymotic188/6.7/207, Pulmonary213/6.3/235, Convulsive62/1.9/76 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 40,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199553300660025",
+      "verdict": "aligned",
+      "evidence": "Both Defects of Unmetered and Metered Lamps tables visible, year ending March31 1883. Upper sequence34,23,3,1,25,100,51,85,457,19,32,247,455 and lower ending6,11 match. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955339",
+      "scan": 66,
+      "original_scan": 68,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700070001",
+      "verdict": "aligned",
+      "evidence": "General Abstract of Works year ending25March1880, paving/general purposes; Paving Jobbing320 10 0, ditto182 7 8, Watering201 8 8 and Dust780 visible. CSV has minor monetary transcription differences; pairing clear, not cell audit.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 5,
+      "original_scan": 5,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700390015",
+      "verdict": "aligned",
+      "evidence": "Bottom TableNo2 annual birth/mortality/death rates1879 and10years; 1879 row41.3,21.7,23.7,15.5,44.2,114; 1869 ends45.2,49 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 37,
+      "original_scan": 5,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199556700080002",
+      "verdict": "aligned",
+      "evidence": "General Abstract of Works Lighting Rate ending25March1880; Surrey/South Metropolitan Gas2166 4 1, lamp columns26 2 0, Sugg20 10 0, sundries46 12 0 visible. Scan includes fractional pennies omitted in CSV; pairing clear, no cell accuracy certification.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955674",
+      "scan": 6,
+      "original_scan": 6,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400810024",
+      "verdict": "aligned",
+      "evidence": "TableII Deaths July5\u2013September27 1873; July5 row ends5,5,15,1,33, Aug2 total47 and total row diarrhea70/phthisis89/bronchitis39/other192/violent27/total464 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 79,
+      "original_scan": 16,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400730018",
+      "verdict": "aligned",
+      "evidence": "TableII thirteen weeks endingJune28 1873; April5 row phthisis9,bronchitis9,other17,violent3,total42; total row7,1,7,30,6,5,3 and95,79,219,24,476 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 71,
+      "original_scan": 16,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400870031",
+      "verdict": "aligned",
+      "evidence": "TableII thirteen weeks endingChristmas1873; Oct4 ends4,5,13,total26; Nov8 ends12,12,28,3,58; total row78,115,209,21,480 visible. CSV minor week/number transcription errors do not alter page alignment.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 85,
+      "original_scan": 16,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400820025",
+      "verdict": "aligned",
+      "evidence": "TableIII Paddington quarter endingSeptember27 1873; brought-forward168,19,54,58,35,10,344; diarrhea63 under5,total67; bottom totals215,27,70,78,60,14,464 visible. Alignment only; dense table not cell-by-cell audited.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 80,
+      "original_scan": 17,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400740019",
+      "verdict": "aligned",
+      "evidence": "TableIII Paddington quarter endingJune28 1873; brought-forward144,12,67,66,63,8,360; Whooping Cough29+1=30; Bronchitis15,2,10,13,3,total43; bottom age totals182,16,86,89,88,15 visible. CSV final total appears mistranscribed; page alignment clear.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 72,
+      "original_scan": 17,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400880032",
+      "verdict": "aligned",
+      "evidence": "TableIII Paddington quarter endingDecember25 1873; Measles14, Whooping Cough11, Fever1/6/2/3 total12; Consumption4/2/26/14/4 total50 and Bronchitis total66 visible. CSV contains apparent cell OCR errors; alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 86,
+      "original_scan": 17,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400800023",
+      "verdict": "aligned",
+      "evidence": "TableI births/deaths July5\u2013September27 1873; July5=45,20,18,13,63,33 and total531,318,182,146,713,464 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 78,
+      "original_scan": 15,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400860030",
+      "verdict": "aligned",
+      "evidence": "TableI October4\u2013December27 1873 with Mean Temper column; Oct4=32,17,11,9,43,26,57.2; total500,310,168,170,668,480 visible. Alignment only; source/cell inconsistencies not adjudicated.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 84,
+      "original_scan": 15,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10199552400720017",
+      "verdict": "aligned",
+      "evidence": "TableI April5\u2013June28 1873; April5=43,20,20,22,63,42; June28=41,22,16,7,57,29; total487,301,186,175,673,476 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955248",
+      "scan": 70,
+      "original_scan": 15,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198834200390013",
+      "verdict": "aligned",
+      "evidence": "London weekly comparison July6\u2013September28; diarrhea54,115,170,196 sequence, temperature61.9/60.0/59.2 and London deaths1130,1262,1230 visible; final Whitechapel46 matches. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19883420",
+      "scan": 40,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198834200590022",
+      "verdict": "aligned",
+      "evidence": "London weekly comparison Oct5\u2013Dec28; diarrhea78,59,37,27; first temperature48.2,rain0.05,London1182,Whitechapel36; Dec14 London1700/Whitechapel52 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19883420",
+      "scan": 60,
+      "original_scan": 8,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198824600120006",
+      "verdict": "aligned",
+      "evidence": "Table3 Birth and Death Rates Carshalton1922\u20131947; 1922 population14,240/rates19.7,8.8,50,10.6; 1932 population32,280/rates15.05,7.9,47.3,3.89;1947 population61,270/rates17.0,7.8,22.8,0.0 visible. CSV OCR mistakes remain; pairing clear.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19882464",
+      "scan": 13,
+      "original_scan": 13,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10199559600190012",
+      "verdict": "aligned",
+      "evidence": "TableNo9 StGeorge the Martyr Southwark year endingMarch25 1885; Zymotic143,151,294 with age sequence104,82,40,19,11; Tubercular73,69,142 and Brain/Nerves128,82,210 visible. Dense lower CSV rows are visibly garbled/shifted; this confirms page alignment, not OCR/cell quality.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955960",
+      "scan": 17,
+      "original_scan": 17,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10199531803580124",
+      "verdict": "aligned",
+      "evidence": "Upper Samaritan Gift table on printed page 353; 79 people at 0 10 0 giving 39 10 0, 171 at 0 5 0 giving 42 15 0, 466 recipients and total 131 5 0 visible. Alignment only; some CSV stray characters remain.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19953185",
+      "scan": 359,
+      "original_scan": 359,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10199531803580125",
+      "verdict": "aligned",
+      "evidence": "Lower Special Gifts table; Harriott Smith 30 0 0, Michael Arnott 1 10 0, Thomas Hunt 2 13 4, William Matthew 5 12 4, total 60 15 8 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19953185",
+      "scan": 359,
+      "original_scan": 359,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10199559600230016",
+      "verdict": "aligned",
+      "evidence": "Removal of Nuisances continued, Inspector John Edwards; Apartments disinfected 94, Yards paved 143, Houses cleansed throughout 147, Yards limewashed 183, Water to closets 193 and total 1497 visible. Alignment only.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19955960",
+      "scan": 21,
+      "original_scan": 21,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10198222401650066",
+      "verdict": "aligned",
+      "evidence": "Milk-sampling table on printed page 80: quarters have 147/115/71/112 samples; first two non-genuine counts 2/4 and adulteration 1.3/3.9 match.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 166,
+      "original_scan": 167,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400810035",
+      "verdict": "aligned",
+      "evidence": "Statistical report for 1928, printed page 38: 1927/1928 attendances 5809/5728, new persons 678/705, sisters' home visits 2744/2339.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 82,
+      "original_scan": 83,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400810036",
+      "verdict": "aligned",
+      "evidence": "Lower All New Persons Examined table on printed page 38: Contacts 19/7/263, Other New Persons 119/17/280/416, totals 138/24/543/705. CSV contact total transcription imperfect but page identity clear.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 82,
+      "original_scan": 83,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400200007",
+      "verdict": "aligned",
+      "evidence": "Ward death table below marriages on printed page 7: Moorfields 30/23/53 and 13.3/81.1; Hoxton 127/121/248; totals 763/618/1381 and 13.8/78.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 21,
+      "original_scan": 22,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400200006",
+      "verdict": "aligned",
+      "evidence": "Marriages table on printed page 7 with Shoreditch/London rates: 1920 1194/23.6/21.9; 1923 873/16.6/17.3; 1928 1033/20.6/18.9.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 21,
+      "original_scan": 22,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10197942800250011",
+      "verdict": "aligned",
+      "evidence": "Landscape Birth/Death Rates table, 1898\u20131902 and six localities. Dagenham 1898 31.9/16.5, 1902 35.8/11.08; Havering 1902 13.6/11.4; Rainham/Wennington 1902 35.2/17.1 match.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19794289",
+      "scan": 26,
+      "original_scan": 26,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222401350054",
+      "verdict": "aligned",
+      "evidence": "Printed page 65, Cases Confined at Home: midwife+doctor 19/2.5; midwife only 495/65.8; doctor+untrained woman 126/16.8; student+untrained woman 101/14.9.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 136,
+      "original_scan": 137,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10182507103680165",
+      "verdict": "aligned",
+      "evidence": "Printed page 109, Parish of Clapham North Ward, Table XLI house-to-house inspections. Pitcairn Street 39/18/46.15, Robertson Street 105/53/50.47; totals 830/467/56.26 and families 134/266/143/689.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18250713",
+      "scan": 369,
+      "original_scan": 109,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400160002",
+      "verdict": "aligned",
+      "evidence": "Landscape London/Shoreditch birth-death comparison for year ending 31 December 1928: London population 4469000 and birth rate15.9, Shoreditch100200/20.9; Moorfields3990 and infant mortality81; Acton11480 and infant mortality114.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 17,
+      "original_scan": 18,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198222400100000",
+      "verdict": "aligned",
+      "evidence": "Printed page2 Statistical Summary1928: area662.5acres, estimated population101200, marriages1033; births legitimate1031/985/2016 and illegitimate40/35/75; deaths1381 and infant deaths164.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19822248",
+      "scan": 11,
+      "original_scan": 12,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10198760600520037",
+      "verdict": "aligned",
+      "evidence": "Landscape Aural Clinic table, printed51: new/old columns and disease groups match. Acute suppurative otitis totals3/3, Opinion on Tonsils totals43/14, Nasal Conditions34/31; total row38/17 under treatment and124/82 overall.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19876063",
+      "scan": 53,
+      "original_scan": 53,
+      "risk_flag": true
+    },
+    {
+      "table_id": "10197869401210077",
+      "verdict": "aligned",
+      "evidence": "Printed page118 Table XVI(C), beds for tuberculosis: Croydon Borough Sanatorium North Cheam94 adult pulmonary/94 total; Mayday Hospital Thornton Heath64 with shared pulmonary/non-pulmonary-use note.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19786943",
+      "scan": 122,
+      "original_scan": 122,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10197869401210078",
+      "verdict": "aligned",
+      "evidence": "Same page lower Table XVI(D), residential treatment/observation: doubtful cases totals4/29/30/1/2; pulmonary totals122/269/206/51/134; grand totals161/329/273/53/164.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19786943",
+      "scan": 122,
+      "original_scan": 122,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10197942800260012",
+      "verdict": "aligned",
+      "evidence": "Printed page27 zymotic deaths table with Dagenham/Havering/Upminster/Hornchurch/Rainham/Great Warley. Smallpox subsequent columns1/2/3/3, diphtheria Rainham2/Great Warley1, enteric Dagenham3/Hornchurch3 match; CSV differs in some Dagenham cells but page identity is clear.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19794289",
+      "scan": 27,
+      "original_scan": 27,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10197855600060002",
+      "verdict": "aligned",
+      "evidence": "Printed page7 Bromley five-year rates1894\u20131898. Infectious diseases1.68/1.02/2.5/1.16/2.15; diarrhoea .42/.73/.39/.66/1.40; children-under5 all causes3.9/3.9/4.6/3.2/5.0.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19785562",
+      "scan": 7,
+      "original_scan": 7,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10198760600530038",
+      "verdict": "aligned",
+      "evidence": "Printed page52 treatment for uncleanliness: school nurses93 visits, examinations17376, infected315 (asterisk footnote), percentage1.8; caption and three-value table match.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19876063",
+      "scan": 54,
+      "original_scan": 54,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10198760600530039",
+      "verdict": "aligned",
+      "evidence": "Printed page52 immediately below uncleanliness counts: five-year percentages1936=2.3,1937=1.7,1938=1.5,1939=1.5,1940=1.8.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b19876063",
+      "scan": 54,
+      "original_scan": 54,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10182516300250024",
+      "verdict": "aligned",
+      "evidence": "Bottom Tubercular Diseases table on printed page20: Regent's Park121/3.0/157.5, Gray's Inn Lane110/3.5/149.6; St Pancras642/2.6/131.7.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18251638",
+      "scan": 26,
+      "original_scan": 26,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10182516300250023",
+      "verdict": "aligned",
+      "evidence": "Middle Pulmonary Diseases table on printed page20: Regent's Park154/3.9/200.5, Somers Town205/5.9/232.9, Kentish Town326/3.5/202.7; total1013/4.2/207.7.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18251638",
+      "scan": 26,
+      "original_scan": 26,
+      "risk_flag": false
+    },
+    {
+      "table_id": "10182516300250022",
+      "verdict": "aligned",
+      "evidence": "Top Puerperal Fever on printed page20, nine deaths/six fewer than1885. Subdistrict deaths Regent's Park0, Tottenham Court1, Gray's Inn Lane0, Somers Town4, Camden2, Kentish2, total St Pancras9.",
+      "reviewer": "independent-agent-visual-review",
+      "b_number": "b18251638",
+      "scan": 26,
+      "original_scan": 26,
+      "risk_flag": false
+    }
+  ]
+}

audits/table-alignment-2026-09-09/regression-checks.json

@@ -0,0 +1,251 @@
+{
+  "scope": "Regression against earlier 30-table agent image audit; not a new blinded sample or human-certified transcription.",
+  "prior_aligned_retained": 24,
+  "prior_wrong_scan_corrected": 6,
+  "checks": [
+    {
+      "table_id": "10198222400830037",
+      "prior_agent_review_aligned": false,
+      "old_scan": 85,
+      "final_scan": 84,
+      "final_decision": "moved",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10199535100910056",
+      "prior_agent_review_aligned": true,
+      "old_scan": 89,
+      "final_scan": 89,
+      "final_decision": "retained",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10182534900600087",
+      "prior_agent_review_aligned": true,
+      "old_scan": 61,
+      "final_scan": 61,
+      "final_decision": "retained",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10182447500490031",
+      "prior_agent_review_aligned": true,
+      "old_scan": 50,
+      "final_scan": 50,
+      "final_decision": "retained",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10197869701010077",
+      "prior_agent_review_aligned": true,
+      "old_scan": 102,
+      "final_scan": 102,
+      "final_decision": "retained",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10199552400890033",
+      "prior_agent_review_aligned": false,
+      "old_scan": 18,
+      "final_scan": 87,
+      "final_decision": "moved",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10182534900740103",
+      "prior_agent_review_aligned": true,
+      "old_scan": 75,
+      "final_scan": 75,
+      "final_decision": "retained",
+      "visual_adjudication": null
+    },
+    {
+      "table_id": "10198222400600023",
+      "prior_agent_review_aligned": false,
+      "old_scan": 62,
+      "final_scan": 61,
+      "final_decision": "moved",
+      "visual_adjudication": null
+    },
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+    "sha256": "a0d168d1cbb439a2b25612d72369f24348804c319b0f37d7f148455f94488630",
+    "canvases": 79
+  },
+  {
+    "b_number": "b19957154",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19957154",
+    "sha256": "6c8148a3b0d9c7a5fa898863cd12de64b66e2a44995fe27a36a881b0f32144ef",
+    "canvases": 68
+  },
+  {
+    "b_number": "b19957166",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19957166",
+    "sha256": "c93a1a12adb7a2734e31a9a6216b5776d610a2348b6c97d99085078dd302499a",
+    "canvases": 83
+  },
+  {
+    "b_number": "b19957208",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19957208",
+    "sha256": "260cdf30951bb7a84e3e777265ee2481f42d0971a19601b837365b41e8ded62b",
+    "canvases": 49
+  },
+  {
+    "b_number": "b19969090",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19969090",
+    "sha256": "231f81a9594fc6ec154ee462f3ea06710b94ff8eafa668c39a93946812312742",
+    "canvases": 32
+  },
+  {
+    "b_number": "b19969181",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19969181",
+    "sha256": "3e8a0a61d987d2b1724eb1a03fa2c35a77ae8221f0f526403840aa27ade4f7f2",
+    "canvases": 36
+  },
+  {
+    "b_number": "b19969351",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19969351",
+    "sha256": "c27f399c9ccbde9b63719f83699daeb6711dbeb1829cefce13ca7ff3dd6ed36a",
+    "canvases": 8
+  },
+  {
+    "b_number": "b19970341",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19970341",
+    "sha256": "1811a9e4a538470df59062ce7b56fc00a1ce5ef67727847e63cb6ae3120c0fa6",
+    "canvases": 76
+  },
+  {
+    "b_number": "b19970353",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19970353",
+    "sha256": "6f1198db167841e3ea96ada52dcfe8983716d61a36e9b0da435c2571e07a0006",
+    "canvases": 52
+  },
+  {
+    "b_number": "b19970420",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19970420",
+    "sha256": "f1bbfa1fcfab41f36a3c449bc9d134ad8ffe348f9ccfca18cdc4cb24910398e2",
+    "canvases": 58
+  },
+  {
+    "b_number": "b19971011",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19971011",
+    "sha256": "9be8d8b53c57067939f516b8910582954c27e8f3be7cb27707f6ab62347d5937",
+    "canvases": 64
+  },
+  {
+    "b_number": "b19975831",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19975831",
+    "sha256": "7aa4c425d143f4dcaae544dba0c22fcbfe0a7b4a1d69b072d67314b3ab33cab0",
+    "canvases": 22
+  },
+  {
+    "b_number": "b19975879",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19975879",
+    "sha256": "d4dc3a8788c88f782bc25c931c6b93174eae4d826c8b7ab88d85b929cb38b183",
+    "canvases": 20
+  },
+  {
+    "b_number": "b19975922",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19975922",
+    "sha256": "42924078e6a757f3932852c2f66cc47b10ca3c46f0a0bfb788309a37ffe2f98a",
+    "canvases": 40
+  },
+  {
+    "b_number": "b19975946",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19975946",
+    "sha256": "ce73f38a87cb725eb9989415e9923b527812933edf1c76fb913131486801bf0c",
+    "canvases": 22
+  },
+  {
+    "b_number": "b19976112",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b19976112",
+    "sha256": "ce537d54c619195d38ca28911175dddb5bed760a653a33e7e7a5729880cf4085",
+    "canvases": 68
+  },
+  {
+    "b_number": "b20056102",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20056102",
+    "sha256": "8d450917704ee92f18d8e9f7d1af3802b3ccd8fa15f507ee37f3ae07ae88a486",
+    "canvases": 70
+  },
+  {
+    "b_number": "b20056308",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20056308",
+    "sha256": "44f8420bd579225b3691d75e117f1e7dbb8669b86a3456de5dbe24d070de4ebf",
+    "canvases": 137
+  },
+  {
+    "b_number": "b20056448",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20056448",
+    "sha256": "a957b99d2273b77d603dee2c9d4ea58e7379c6c8aa7de0135be8a475f04975f2",
+    "canvases": 365
+  },
+  {
+    "b_number": "b20056916",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20056916",
+    "sha256": "9011a6b37b972b0e8476415fb0f8d8ff8ea6d5780198582c9f91ca9e98d3ca28",
+    "canvases": 148
+  },
+  {
+    "b_number": "b20057064",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20057064",
+    "sha256": "b276e8f985f04954864a1b37c0e69fd95f2a92129e0814e1270fd22e4ce33ed5",
+    "canvases": 323
+  },
+  {
+    "b_number": "b20274713",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20274713",
+    "sha256": "9e6e7844282ce52355481bd9c84dcd27b57788e24011042f05e1aa11bcc80987",
+    "canvases": 24
+  },
+  {
+    "b_number": "b20274944",
+    "manifest_url": "https://iiif.wellcomecollection.org/presentation/v2/b20274944",
+    "sha256": "376680a820d781128124a3a47d48c03dfa8e5baf7017432ee50ed61e65c84925",
+    "canvases": 27
+  }
+]

audits/table-alignment-2026-09-09/summary.json

@@ -0,0 +1,59 @@
+{
+  "source_repo": "biglam/londons-pulse-moh",
+  "source_revision": "1a726bbb3a8dc8f3499cf2db0a983865ab6fd2b6",
+  "thresholds": {
+    "min_containment": 0.7,
+    "min_margin": 0.1,
+    "min_distinct_tokens": 8
+  },
+  "coverage": {
+    "reports": 288,
+    "canvases": 24052,
+    "table_items": 4086
+  },
+  "decisions": {
+    "retained": 3529,
+    "moved": 451,
+    "unresolved": 106
+  },
+  "splits": {
+    "train": {
+      "num_examples": 2520,
+      "num_bytes": 448527779,
+      "parquet_bytes": 445529382,
+      "original_rows": 2422
+    },
+    "validation": {
+      "num_examples": 302,
+      "num_bytes": 52884161,
+      "parquet_bytes": 52549259,
+      "original_rows": 279
+    },
+    "test": {
+      "num_examples": 327,
+      "num_bytes": 56707410,
+      "parquet_bytes": 56318649,
+      "original_rows": 299
+    }
+  },
+  "by_split": {
+    "train": {
+      "retained": 2875,
+      "moved": 320,
+      "unresolved": 78
+    },
+    "validation": {
+      "retained": 330,
+      "unresolved": 13,
+      "moved": 43
+    },
+    "test": {
+      "retained": 324,
+      "moved": 88,
+      "unresolved": 15
+    }
+  },
+  "download_size": 554397290,
+  "dataset_size": 558119350,
+  "corrected_images_fetched": 369
+}

audits/table-alignment-2026-09-09/validation.json

@@ -0,0 +1,44 @@
+{
+  "checks_passed": [
+    "All 4086 IDs/CSV SHA-256/splits/reports conserved across repaired config and unresolved artifact",
+    "Pinned source payloads match independently recovered historical audit metadata",
+    "No duplicate page keys or table IDs; no report crosses splits",
+    "All three Arrow schemas identical to source, including image metadata",
+    "All 3149 embedded JPEGs fully decoded; dimensions match provenance",
+    "Original bytes retained for every unchanged image scan",
+    "Per-row table counts and ledger-to-scan mappings consistent",
+    "Card split row/byte metadata and default config mapping verified",
+    "24052 source ALTO receipts; no source fetch gaps"
+  ],
+  "splits": {
+    "train": {
+      "rows": 2520,
+      "table_items": 3195,
+      "bytes": 448527779
+    },
+    "validation": {
+      "rows": 302,
+      "table_items": 373,
+      "bytes": 52884161
+    },
+    "test": {
+      "rows": 327,
+      "table_items": 412,
+      "bytes": 56707410
+    }
+  },
+  "image_width_counts": {
+    "800": 308,
+    "801": 3,
+    "1000": 2703,
+    "1001": 133,
+    "1002": 2
+  },
+  "nullable_printed_page_rows": 0,
+  "rows_with_changed_table_payload_or_new_scan": 511,
+  "decisions": {
+    "retained": 3529,
+    "moved": 451,
+    "unresolved": 106
+  }
+}

scripts/repair_table_alignment.py

@@ -0,0 +1,492 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = ["huggingface_hub==1.30.0", "pyarrow==25.0.1", "httpx==0.28.1", "pillow==12.3.0"]
+# ///
+"""Reproduce the September 2026 tables-only alignment repair locally.
+
+Usage: uv run repair_table_alignment.py --work-dir /path/with/several-GB-free
+Uses the pinned original tables shards and all 24,052 page ALTO documents
+from their IIIF manifests. Raw ALTO is gzip-cached. No model inference or upload.
+The source IIIF/ALTO endpoints are live; compare source checksum ledgers when
+reproducing an older run. CSV strings and report-to-split assignments are preserved.
+"""
+
+import argparse
+import csv
+import gzip
+import hashlib
+import io
+import json
+import math
+import re
+import time
+from collections import Counter, defaultdict
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+
+import httpx
+import pyarrow as pa
+import pyarrow.parquet as pq
+from huggingface_hub import snapshot_download
+from PIL import Image
+
+ROOT = Path("moh-alignment-work")
+CACHE = ROOT / "cache"
+CLIENT = httpx.Client(
+    follow_redirects=True,
+    timeout=60,
+    headers={"User-Agent": "moh-table-alignment-repair/1.0"},
+)
+
+
+def cached(url, path):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    if path.with_suffix(path.suffix + ".gz").exists():
+        return gzip.decompress(path.with_suffix(path.suffix + ".gz").read_bytes())
+    if not path.exists():
+        for attempt in range(4):
+            try:
+                r = CLIENT.get(url)
+                r.raise_for_status()
+                if path.suffix == ".xml":
+                    path.with_suffix(".xml.gz").write_bytes(
+                        gzip.compress(r.content, compresslevel=5, mtime=0)
+                    )
+                    return r.content
+                path.write_bytes(r.content)
+                break
+            except (httpx.HTTPError, OSError):
+                if attempt == 3:
+                    raise
+                time.sleep(1 + attempt)
+    return path.read_bytes()
+
+
+def rows():
+    return [
+        dict(r, source_row=i)
+        for split in ["train", "validation", "test"]
+        for i, r in enumerate(
+            pq.read_table(
+                ROOT / "base" / "tables" / f"{split}-00000-of-00001.parquet",
+                columns=[
+                    "b_number",
+                    "page_index",
+                    "printed_page",
+                    "table_ground_truth",
+                    "split",
+                    "signals",
+                    "n_tables_on_page",
+                ],
+            ).to_pylist()
+        )
+    ]
+
+
+def canvases(b):
+    m = json.loads(
+        cached(
+            f"https://iiif.wellcomecollection.org/presentation/v2/{b}",
+            CACHE / "manifest" / f"{b}.json",
+        )
+    )
+    return [c for s in m.get("sequences", []) for c in s.get("canvases", [])]
+
+
+def table_cells(raw):
+    # Published strings carry literal backslash escapes; interpret for scoring only.
+    if "\\r\\n" in raw and "\r\n" not in raw:
+        raw = raw.replace("\\r\\n", "\n").replace("\\n", "\n").replace('\\"', '"')
+    return list(csv.reader(io.StringIO(raw)))
+
+
+def tokens(text):
+    return {
+        x
+        for x in re.findall(r"[a-z0-9]+", text.lower())
+        if len(x) > 1 and x not in {"nil"}
+    }
+
+
+def alto_phase():
+    import xml.etree.ElementTree as ET
+
+    rs = rows()
+    jobs = []
+    for b in sorted({r["b_number"] for r in rs}):
+        for i, c in enumerate(canvases(b), 1):
+            sa = c.get("seeAlso", [])
+            sa = [sa] if isinstance(sa, dict) else sa
+            urls = [x.get("@id") for x in sa if "alto" in x.get("@id", "")]
+            if urls:
+                jobs.append((b, i, urls[0]))
+
+    def one(job):
+        b, i, url = job
+        out = CACHE / "tokens" / b / f"{i:04}.json"
+        if out.exists():
+            return
+        try:
+            raw = cached(url, CACHE / "alto" / b / f"{i:04}.xml")
+            parser = "xml"
+            try:
+                root = ET.fromstring(raw)
+                texts = [
+                    s.attrib["CONTENT"]
+                    for s in root.iter()
+                    if s.tag.endswith("}String") and "CONTENT" in s.attrib
+                ]
+            except ET.ParseError:
+                # Some source files have broken block nesting or Page attributes.
+                # Parse each complete String element without editing its attributes.
+                tags = re.findall(rb"<String\b[^>]*/>", raw)
+                assert len(tags) == raw.count(b"<String ")
+                texts = [ET.fromstring(tag).attrib["CONTENT"] for tag in tags]
+                parser = "individual-string-elements"
+            out.parent.mkdir(parents=True, exist_ok=True)
+            out.write_text(
+                json.dumps(
+                    {
+                        "url": url,
+                        "sha256": hashlib.sha256(raw).hexdigest(),
+                        "tokens": sorted(tokens(" ".join(texts))),
+                        "strings": len(texts),
+                        "parser": parser,
+                    }
+                )
+            )
+        except (httpx.HTTPError, OSError, ET.ParseError, AssertionError) as e:
+            raise RuntimeError(f"Incomplete source evidence: {b} scan {i}") from e
+
+    print("ALTO JOBS", len(jobs), flush=True)
+    with ThreadPoolExecutor(max_workers=12) as pool:
+        for i, _ in enumerate(pool.map(one, jobs), 1):
+            if i % 500 == 0:
+                print("ALTO DONE", i, "/", len(jobs), flush=True)
+
+
+def score_phase():
+    rs = rows()
+    by_b = defaultdict(list)
+    for r in rs:
+        by_b[r["b_number"]].append(r)
+    result = []
+    for b, rr in by_b.items():
+        cs = canvases(b)
+        paths = [CACHE / "tokens" / b / f"{i:04}.json" for i in range(1, len(cs) + 1)]
+        if not all(p.exists() for p in paths):
+            raise RuntimeError(
+                f"Missing source ALTO for {b}; refusing to score incomplete reports"
+            )
+        docs = [json.loads(p.read_text()) for p in paths]
+        sets = [set(d["tokens"]) for d in docs]
+        df = Counter(t for ts in sets for t in ts)
+        n = len(sets)
+        for r in rr:
+            for tab in json.loads(r["table_ground_truth"]):
+                cells = table_cells(tab["csv"])
+                ts = tokens(" ".join(c for row in cells[2:] for c in row))
+                weights = {t: math.log((n + 1) / (df[t] + 1)) + 1 for t in sorted(ts)}
+                den = sum(weights.values())
+                scores = [
+                    sum(w for t, w in weights.items() if t in ss) / den if den else 0
+                    for ss in sets
+                ]
+                order = sorted(range(n), key=lambda i: (-scores[i], i))
+                best = order[0]
+                second = order[1] if n > 1 else best
+                result.append(
+                    {
+                        "b_number": b,
+                        "table_id": tab["table_id"],
+                        "split": r["split"],
+                        "source_row": r["source_row"],
+                        "old_scan": r["page_index"],
+                        "printed_page": r["printed_page"],
+                        "export_page": cells[1][1]
+                        if len(cells) > 1 and len(cells[1]) > 1
+                        else None,
+                        "best_scan": best + 1,
+                        "score": scores[best],
+                        "second_scan": second + 1,
+                        "second_score": scores[second],
+                        "margin": scores[best] - scores[second],
+                        "old_score": scores[r["page_index"] - 1],
+                        "tokens": len(ts),
+                        "top": [[i + 1, round(scores[i], 5)] for i in order[:5]],
+                        "candidate_count": n,
+                    }
+                )
+    (ROOT / "scores.json").write_text(json.dumps(result, indent=2))
+    print(
+        "SCORED",
+        len(result),
+        "reports",
+        len({r["b_number"] for r in result}),
+        flush=True,
+    )
+
+
+REV = "1a726bbb3a8dc8f3499cf2db0a983865ab6fd2b6"
+OUT = ROOT / "upload"
+AUDIT = OUT / "audits" / "table-alignment-2026-09-09"
+THRESHOLD = 0.70
+MARGIN = 0.10
+MIN_TOKENS = 8
+
+ADJUDICATIONS = {
+    "10182507101080033": {
+        "scan": 109,
+        "method": "agent-visual-review",
+        "reason": "Rates table for 1901-2 with Clapham, Putney, Streatham, Tooting and Wandsworth matches scan109: relief of poor1s10d each; total rates7s1d/7s1d/7s2d/6s11d/7s3-and-a-half-d. Source fraction transcription remains imperfect. This fresh-sample candidate was unresolved automatically (margin0.072), then retained after independent agent image review.",
+    },
+    "10199535100160005": {
+        "scan": 14,
+        "method": "agent-visual-review",
+        "reason": "FINANCE COMMITTEE table matches scan 14: meetings total 16; Bennell 4/1/3/4 total 12; Chamberlen 6/0/3/5 total 14; Easton 1/2/2/5 total 10; June 1881 retirement/election notes also match. Low automated margin reflects similar neighbouring table content.",
+    },
+}
+
+
+def accepted(score):
+    if score["table_id"] in ADJUDICATIONS:
+        assert score["best_scan"] == ADJUDICATIONS[score["table_id"]]["scan"]
+        return True
+    return (
+        score["score"] >= THRESHOLD
+        and score["margin"] >= MARGIN
+        and score["tokens"] >= MIN_TOKENS
+    )
+
+
+def build():
+    AUDIT.mkdir(parents=True, exist_ok=True)
+    (OUT / "tables").mkdir(exist_ok=True)
+    inputs = {
+        s: pq.read_table(ROOT / "base" / "tables" / f"{s}-00000-of-00001.parquet")
+        for s in ["train", "validation", "test"]
+    }
+    original = {s: t.to_pylist() for s, t in inputs.items()}
+    scores = json.loads((ROOT / "scores.json").read_text())
+    assert len(scores) == 4086
+    sm = {s["table_id"]: s for s in scores}
+    assert len(sm) == 4086
+    groups = defaultdict(list)
+    ledger = []
+    unresolved = []
+    seen = set()
+    images = {}
+    for split, rs in original.items():
+        for ri, r in enumerate(rs):
+            images[(split, r["b_number"], r["page_index"])] = r["image"]
+            for tab in json.loads(r["table_ground_truth"]):
+                tid = tab["table_id"]
+                assert tid not in seen
+                seen.add(tid)
+                s = sm[tid]
+                assert (s["b_number"], s["split"], s["source_row"], s["old_scan"]) == (
+                    r["b_number"],
+                    split,
+                    ri,
+                    r["page_index"],
+                )
+                keep = accepted(s)
+                new = s["best_scan"] if keep else None
+                entry = {
+                    **s,
+                    "new_scan": new,
+                    "decision": ("retained" if new == s["old_scan"] else "moved")
+                    if keep
+                    else "unresolved",
+                    "csv_sha256": hashlib.sha256(tab["csv"].encode()).hexdigest(),
+                }
+                if tid in ADJUDICATIONS:
+                    entry["adjudication"] = ADJUDICATIONS[tid]
+                if keep:
+                    token_doc = json.loads(
+                        (
+                            CACHE / "tokens" / r["b_number"] / f"{new:04}.json"
+                        ).read_text()
+                    )
+                    entry.update(
+                        alto_url=token_doc["url"], alto_sha256=token_doc["sha256"]
+                    )
+                    groups[(split, r["b_number"], new)].append((r, tab, entry))
+                else:
+                    entry["reason"] = [
+                        name
+                        for name, bad in [
+                            ("low_containment", s["score"] < THRESHOLD),
+                            ("ambiguous_candidates", s["margin"] < MARGIN),
+                            ("sparse_content", s["tokens"] < MIN_TOKENS),
+                        ]
+                        if bad
+                    ]
+                    unresolved.append({**entry, "csv": tab["csv"]})
+                ledger.append(entry)
+
+    def image_for(item):
+        key, parts = item
+        _split, b, scan = key
+        if key in images:
+            return key, images[key]
+        source_im = Image.open(io.BytesIO(parts[0][0]["image"]["bytes"]))
+        width = source_im.width
+        c = canvases(b)[scan - 1]
+        service = c["images"][0]["resource"]["service"]
+        service = (service[0] if isinstance(service, list) else service)["@id"]
+        url = f"{service}/full/{width},/0/default.jpg"
+        raw = cached(url, CACHE / "images" / b / f"{scan:04}-{width}.jpg")
+        im = Image.open(io.BytesIO(raw))
+        im.verify()
+        return key, {"bytes": raw, "path": f"{b}_{scan:04}.jpg"}
+
+    missing = [(k, v) for k, v in groups.items() if k not in images]
+    print("FETCH CORRECTED IMAGES", len(missing), flush=True)
+    with ThreadPoolExecutor(max_workers=8) as pool:
+        for i, (k, v) in enumerate(pool.map(image_for, missing), 1):
+            images[k] = v
+            if i % 25 == 0:
+                print("IMAGES", i, "/", len(missing), flush=True)
+    output = defaultdict(list)
+    for (split, b, scan), parts in groups.items():
+        r = dict(parts[0][0])
+        tabs = [x[1] for x in parts]
+        c = canvases(b)[scan - 1]
+        service = c["images"][0]["resource"]["service"]
+        service = (service[0] if isinstance(service, list) else service)["@id"]
+        labels = sorted(
+            {x[2]["export_page"] for x in parts if x[2]["export_page"] is not None}
+        )
+        printed = {x[0]["printed_page"] for x in parts}
+        im = images[(split, b, scan)]
+        dims = Image.open(io.BytesIO(im["bytes"])).size
+        signals = json.loads(r["signals"])
+        signals.update(
+            {
+                "img_size": dims[0],
+                "image_size": list(dims),
+                "manifest_url": f"https://iiif.wellcomecollection.org/presentation/v2/{b}",
+                "image_service_id": service,
+                "canvas_id": c["@id"],
+                "canvas_label": str(c.get("label", "")),
+                "image_native_size": [c["width"], c["height"]],
+                "export_page_labels": labels,
+                "alignment_method": "report-wide-alto-idf-v1",
+                "alignment_audit": "audits/table-alignment-2026-09-09",
+                "source_revision": REV,
+            }
+        )
+        r.update(
+            image=im,
+            table_ground_truth=json.dumps(tabs, ensure_ascii=False),
+            n_tables_on_page=len(tabs),
+            page_index=scan,
+            printed_page=next(iter(printed)) if len(printed) == 1 else None,
+            signals=json.dumps(signals, ensure_ascii=False),
+        )
+        output[split].append(r)
+    sizes = {}
+    for split, rs in output.items():
+        table = pa.Table.from_pylist(rs, schema=inputs[split].schema)
+        path = OUT / "tables" / f"{split}-00000-of-00001.parquet"
+        pq.write_table(table, path, compression="snappy", row_group_size=100)
+        sizes[split] = {
+            "num_examples": table.num_rows,
+            "num_bytes": pq.read_table(path).nbytes,
+            "parquet_bytes": path.stat().st_size,
+            "original_rows": inputs[split].num_rows,
+        }
+    for name, values in [("decisions.jsonl", ledger), ("unresolved.jsonl", unresolved)]:
+        (AUDIT / name).write_text(
+            "".join(json.dumps(v, ensure_ascii=False) + "\n" for v in values)
+        )
+    summary = {
+        "source_repo": "biglam/londons-pulse-moh",
+        "source_revision": REV,
+        "thresholds": {
+            "min_containment": THRESHOLD,
+            "min_margin": MARGIN,
+            "min_distinct_tokens": MIN_TOKENS,
+        },
+        "coverage": {
+            "reports": len({s["b_number"] for s in scores}),
+            "canvases": sum(len(canvases(b)) for b in {s["b_number"] for s in scores}),
+            "table_items": len(scores),
+        },
+        "decisions": dict(Counter(x["decision"] for x in ledger)),
+        "splits": sizes,
+        "by_split": {
+            s: dict(Counter(x["decision"] for x in ledger if x["split"] == s))
+            for s in inputs
+        },
+        "download_size": sum(x["parquet_bytes"] for x in sizes.values()),
+        "dataset_size": sum(x["num_bytes"] for x in sizes.values()),
+        "corrected_images_fetched": len(missing),
+    }
+    (AUDIT / "adjudications.json").write_text(
+        json.dumps(ADJUDICATIONS, indent=2) + "\n"
+    )
+    (AUDIT / "summary.json").write_text(json.dumps(summary, indent=2) + "\n")
+    manifests = [
+        {
+            "b_number": b,
+            "manifest_url": f"https://iiif.wellcomecollection.org/presentation/v2/{b}",
+            "sha256": hashlib.sha256(
+                (CACHE / "manifest" / f"{b}.json").read_bytes()
+            ).hexdigest(),
+            "canvases": len(canvases(b)),
+        }
+        for b in sorted({s["b_number"] for s in scores})
+    ]
+    alto_sources = []
+    for b in sorted({s["b_number"] for s in scores}):
+        for path in sorted((CACHE / "tokens" / b).glob("*.json")):
+            doc = json.loads(path.read_text())
+            alto_sources.append(
+                {
+                    "b_number": b,
+                    "scan": int(path.stem),
+                    "url": doc["url"],
+                    "sha256": doc["sha256"],
+                    "strings": doc["strings"],
+                    "parser": doc.get("parser", "xml"),
+                }
+            )
+    (AUDIT / "source-alto.jsonl").write_text(
+        "".join(json.dumps(x) + "\n" for x in alto_sources)
+    )
+    (AUDIT / "source-manifests.json").write_text(json.dumps(manifests, indent=2) + "\n")
+    print(json.dumps(summary, indent=2), flush=True)
+
+
+def main():
+    global ROOT, CACHE, OUT, AUDIT
+    ap = argparse.ArgumentParser(description=__doc__)
+    ap.add_argument("--work-dir", type=Path, required=True)
+    ap.add_argument(
+        "--offline-build",
+        action="store_true",
+        help="Reuse existing complete scores and image cache",
+    )
+    args = ap.parse_args()
+    ROOT = args.work_dir.resolve()
+    CACHE = ROOT / "cache"
+    OUT = ROOT / "upload"
+    AUDIT = OUT / "audits" / "table-alignment-2026-09-09"
+    CACHE.mkdir(parents=True, exist_ok=True)
+    if not args.offline_build:
+        snapshot_download(
+            "biglam/londons-pulse-moh",
+            repo_type="dataset",
+            revision=REV,
+            allow_patterns=["README.md", "tables/*"],
+            local_dir=ROOT / "base",
+        )
+        alto_phase()
+        score_phase()
+    build()
+
+
+if __name__ == "__main__":
+    main()

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