| --- |
| tags: |
| - smart-manufacturing |
| - sft |
| - industrial |
| - vision |
| license: other |
| pretty_name: "186-region" |
| extra_gated_fields: |
| Name: text |
| Affiliation: text |
| Intended use: text |
| extra_gated_prompt: >- |
| This dataset is released for **research use**. Access is reviewed and granted |
| **manually** by the maintainers. Please state your name, affiliation, and intended use. |
| --- |
| |
| # 186-region |
|
|
| Region-conditioned defect typing on magnetic tiles — **1,583 items**, derived **deterministically** |
| from the pixel saliency masks of |
| [`AI4Manufacturing/186`](https://huggingface.co/datasets/AI4Manufacturing/186). Exact-match gradable |
| (closed type list + `no defect`) → SFT and RLVR-ready. |
|
|
| ## Task |
|
|
| "An operator points at a region — what defect, if any, is there?" One item per defect **instance** |
| (438 positives: Blowhole 115, Break 115, Uneven 101, Crack 70, Fray 37) plus **1,145 clean-region |
| negatives** teaching rejection (every good record + ~half of defective records; **clean-majority 72% |
| is disclosed** — reweight at training time if you want balance). The region is conveyed in one of two |
| modes (~50/50, `metadata.region_mode`; overlay 801 / bbox_text 782): |
| |
| - **`overlay`** — a red rectangular ring drawn on the image around the region (ring thickness scales |
| with image size; regions padded to >=6% of the min dimension so they stay visible). |
| - **`bbox_text`** — the raw image plus the region as a native-pixel box `[x, y, w, h]` (origin |
| top-left) in the query text. |
| |
| Clean boxes sample **size AND position from the emitted positive population** (median clean/positive |
| box area ratio 0.94), so box geometry separates nothing. Golds are unambiguous: instance boxes |
| containing another instance's pixels are skipped in bbox-text mode (2). Gold = the type name exactly |
| as in the query's closed list, or `no defect`. Query pools: 16 variants per mode (template x |
| clean/defect independence: worst z = 2.61). Verified: zero defect pixels inside any clean box. |
| |
| **Uneven disclosure.** `Uneven` boundaries are gradual (saliency GT); positive Uneven regions carry |
| `metadata.coarse_boundary: true`. |
|
|
| | field | type | meaning | |
| |---|---|---| |
| | `query` | str | 16 variants per mode; closed class list | |
| | `image` | Image | raw tile photo, or tile with ONE red rectangular ring (overlay mode) | |
| | `annot` | str | `Blowhole` / `Break` / `Crack` / `Fray` / `Uneven` / `no defect` | |
| | `reasoning` | null | none — deterministic derivation | |
| | `cate` / `task` | str | `B` / `T-B2` | |
| | `metadata` | str (JSON) | source, category, `image_sha256`, `image_path`, `r186_record_id`, `region_mode`, `bbox_xywh`, `instance_index`, `gold`, `coarse_boundary` | |
|
|
| ## Roles |
|
|
| **Roles:** this is an answer-only tier — there is no reasoning column; `annot` is both the machine-parseable gold AND the direct-answer SFT target ('SFT-ready' here means direct imitation of `annot` in the query-specified format); it is also the exact-match/IoU reward key for RLVR. |
|
|
| ## Provenance |
|
|
| Built **deterministically (no LLM/teacher; `reasoning` is null)** from |
| [`AI4Manufacturing/186`](https://huggingface.co/datasets/AI4Manufacturing/186) (revision `2117f8e`) — |
| Magnetic-Tile-Defect, Huang et al., *"Surface defect saliency of magnetic tile"*, The Visual Computer 2020: |
| 1,344 grayscale magnetic-tile images, 5 defect classes (Blowhole, Break, Crack, Fray, Uneven) + good, |
| each defective image with a paired pixel saliency mask (binarized here at gray>40, which matches the |
| source `defect_area_fraction`). Generator: `annotate/186/build_186_derived.py` in `forge_model`; |
| machine gates: `annotate/186/verify_186.py` (all green at build time). |
|
|
| **Source-data exclusion (counted):** 4 `MT_Uneven` rows ship ALL-ZERO masks in the source dataset |
| (`defect_area_fraction = 0.0`) — an anomalous label with no localizable GT. They are excluded from |
| every derived set. |
|
|
| **Query diversity.** The `query` field is drawn from a fixed pool of surface variants for this task |
| (paraphrases preserving the task and answer format), selected by an independent per-record hash. |
| A machine gate checks that no template correlates with the gold (worst z-scores reported above). |
|
|
| > The repository name is an internal task code (the source dataset's code is `186`). |
|
|
