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Roles

Roles: canon repo — annot is the source label, kept machine-parseable as the gold for verification and reward parsing; there is no filled reasoning column and this repo is not itself a training view. Derived repos each state their own regime on their own card.

103-seam

Weld-seam localisation on whole digitised X-ray films resized to long side 1024 (one or two seams per film; boxes in the resized frame). The one layer of this deposit that survives a full-frame resize. Category B, task T-B2, in the unified Smart-Manufacturing SFT schema.

The repository name is an internal task code. See Provenance below for the underlying dataset.

Records

3,632 records (test=724 · train=2908).

Unified SFT schema

field type meaning
query str the question / instruction (model input)
image Image the input image (bytes embedded); for multi-image rows, a preview of the first view
images list[Image] (multi-image rows) all input views / modalities for the row, bytes embedded
annot str the answer — for this dataset: one line per weld seam, seam,[x, y, width, height] in pixels of the RESIZED frame (long side 1024, top-left origin; the scale rides in metadata.scale). An L film has one seam, a T film two perpendicular ones; the count is part of the answer
reasoning null no native CoT in these datasets
cate "B" SFT category
task "T-xx" unified task id
metadata str (JSON) split, provenance, image_path, image_sha256 (dedup key)
mask Image | null (T-B1/T-B2 only) the pixel ground-truth mask, bytes embedded
masks list[Image] (multi-image T-B1 / D21) per-view masks aligned with images (None where a view has no defect), or multi-region masks

What this is — the one layer that survives a full-frame resize

Canon 103 has to be tiled because 90.6 % of its defect polygons fall under the 16 px legibility floor at long side 1024. The seam does not. Measured over all seam instances of the deposit, the seam's short side is:

native 2048 1536 1024 768 512
median short side (px) 707 200 150 100 75 50
under the 16 px floor 0.0 % 0.0 % 0.0 % 0.0 % 0.0 % 0.1 %

So the whole film is fed at long side 1024 (min seam short side 24 px on this build) and the answer is still legible. This is not a defect task: it locates the weld, and 103 inspects it.

Imaging. Digitised X-ray films (SWRD preprint §2, Table 1: Microtek MII5000LC industrial CCD scanner, 1200 dpi, 16-bit); each film rendered with its own 1–99 percentile grey window (metadata.window; 280 of the films are 8-bit and pass through unchanged). Every record carries metadata.source_imaging.

Licence — the permission this rests on

The depositor publishes no terms. Wei recorded on 2026-09-09 a permission from Xuefeng Zhao / Xinghua Yu (BIT) covering a gated, research-only redistribution of this converted copy, not transferable; the original correspondence is to be archived with reports/_notes/grant_records_2026-09.md. Do not redistribute.

Structure is the answer's shape

An L film carries one longitudinal seam; a T film carries two perpendicular ones (a wide horizontal run and a narrow vertical one). On this build (3,632 films): 2 films have no 焊缝 polygon and are excluded, 1 film is undecodable as shipped (DJ-RT-20240105-161.tif, zeroed TIFF directory) and 44 films are dropped as duplicates — the deposit ships 40 films twice under two names (36 pairs with identical annotations keep the earlier copy; 4 pairs with conflicting annotations lose both) — all counted on 103's card, no frame emitted here. metadata.film_type ∈ {L, T} and metadata.n_seams are on every record because the count is part of the task: a model that always answers "one horizontal band" is right on 65.8 % of films.

The seam box is the bounding box of the 焊缝 polygon in the resized frame; metadata.scale is the resize factor and metadata.seams_native the same boxes in film pixels, so nothing is lost. ⚠ The seam is stored unpadded on purpose: 103's padded band clamps at the film edge, and recovering the seam by subtracting the pad is not an inverse.

Split — the same as 103, film for film

2,908 train / 724 test films (19.9 %), 0 shared, identical to canon 103's film-wise split (same drops, film for film) so the two can be trained and evaluated together.

Lazy-baseline floors

blind predictor score
always "one seam" right on 65.8 % of films
the film's (width, height) → number of seams (class-balanced linear probe) balanced 0.444 vs 0.500 chance, plain 0.449 vs 0.658 majority, 786 distinct frame sizes — no signal

Version history

v1 — published 2026-09-13. First publish: 3,632 records, 37 gate-verified query paraphrases (metadata.query_template; template 0 is the converter's base wording).

Query text — pooled paraphrases (v1)

Every record's query is drawn from common/vision_query_pools.json[103-seam/box], a pool of 37 gate-verified paraphrases of the shipped wording, assigned by a stable hash of the record's image key and recorded as metadata.query_template (37 templates in use, top share 3.3%).

Template 0 is the converter's base wording (QUERY in the converter; 107 records carry it); this is the repository's first publish, so there is no earlier wording to reproduce.

Template ↔ gold independence on this build: 3,632 records, 37 templates, worst template p = 0.0336, alpha 2.7e-04, 0 flagged → PASS.

Frame-size floor (common/lazy_floors.py, the standing (width, height)-only row): MAE 0.431 vs 0.345 blind median, 202 distinct frame sizes — no signal.

Built from source by the converter named under Provenance; the pixel-identity guard ran on every image at build time (§8 below).

Provenance

Underlying dataset: SWXD seam-weld radiography (whole films, seam location). Upstream license: No licence is published by the depositor. Use rests on the permission Wei recorded from Xuefeng Zhao / Xinghua Yu (BIT) on 2026-09-09 (reports/_notes/grant_records_2026-09.md): gated research-only redistribution of this converted copy, not transferable — see the Licence section of this card (this card is license: other; respect the upstream terms). Converted read-only from the raw source into the unified schema; conversion code under 103/ (with publish/push_to_hf.py) in AI4Manufacturing/forge_model.

Converter: forge_model@aac1823, merged in PR #98 as a4e61f5. That is the last commit to touch this dataset's converter, which is what produced the data; this card's own text lives in publish/push_to_hf.py and moves independently.

Overlap / de-duplication (§8)

The whole-film companion of 103: the same 3,632 films (same drops: one undecodable, 44 duplicates), same film-wise split, film for film. Locating the seam is not a defect task — 103 inspects what this repository finds. No overlap with any other dataset in this corpus.

Two identities, and they answer different questions. metadata.image_sha256 hashes the file bytes: it finds byte-identical copies and is blind to a re-encode. metadata.pixel_sha256 hashes the decoded image (mode | size | pixels): it finds the same photograph saved twice. Only the second one settles whether an image is duplicated.

Measured at build time, not asserted afterwards — a violation aborts the build and names the offending records:

images checked 3,632
distinct by decoded pixels 3,632
images carrying more than one record 0
images on both sides of the split 0

Cross-family evaluation lock — metadata.eval_lock (stamped 2026-09-20; manifest revision fe6e286912b0, generated 2026-09-08). Every record of this repository, locked or not, carries metadata.eval_lock, computed by forge_model/common/overlap.py::Overlap.stamp_for against common/overlap_manifest.json at that revision — so within this repository the absence of the key cannot occur. Shape: {"locked": bool, "against": [{"repo": …, "split": …}, …], "own_split": …, "manifest_revision": …, "manifest_generated": …}. locked is true when the image is evaluation material anywhere in the corpus; against names every repository and split in which it is (sorted; [] when not locked; it includes the record's own family where that is so); own_split marks a record locked by its own split. The per-record field is the authority — the count here is quoted once, at this revision, and a later manifest may change it: 724 of 3,632 records (724 distinct images) are locked — by column: 0 by the cross-family manifest, 724 by their own split, 0 both ways and counted once; counterparts (records per counterpart; a record can appear under several): none — every lock here is by the record's own split; 724 locked by their own split: test. In words: 724 of the 3,632 records in this repository are evaluation material by their own metadata.split (test: 724) and sit inside the HF split named test / train — under the uniform-split convention the HF split name is a container name, and metadata.split together with metadata.eval_lock carries the truth; a train pool must exclude them. A stamp whose manifest_revision differs from the current manifest is stale, not wrong — recompute it (Overlap.stamp_is_current); a record with no stamp has not been checked against the corpus as it now is. Overlap.partition / assert_train_pool_clean read the field: a train pool built from this repository must exclude every locked record.

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