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@@ -148,15 +148,15 @@ load_dataset("AI4Manufacturing/IMS-perception", "spectrogram")
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  | config | records | splits |
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  |---|---|---|
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- | `spectrogram` | 631 | {'train': 493, 'test': 138} |
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- | `scalogram` | 631 | {'train': 493, 'test': 138} |
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- | `waveform` | 631 | {'train': 493, 'test': 138} |
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- | `reshaped` | 631 | {'train': 493, 'test': 138} |
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  ## Schema (7-field unified record)
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  | field | meaning |
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  |---|---|
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- | `query` | the classification instruction (representation-aware) |
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  | `image` | the rendered signal image (bytes embedded) |
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  | `annot` | gold fault class: normal / inner_race / outer_race / ball |
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  | `reasoning` | chain-of-thought (empty here; filled in the `-annotated` sibling) |
@@ -164,13 +164,13 @@ load_dataset("AI4Manufacturing/IMS-perception", "spectrogram")
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  | `metadata` | JSON string: representation, set, timestamp, time_frac, channel, bearing, bearing_group, rpm, fs, fr_hz, features, fault_freqs, computed_verdict, computed_snr, evidence_tier, image_sha256, split |
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  ## Provenance & reproducibility
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- Generated **deterministically** by `forge_agent/examples/ims/convert.py` (`8f7c384bda`) → `forge_model/IMS/convert_ims.py` (`a88573f32f`); see `provenance.json`.
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  **Gold = the documented end-state defect** (readme / manufacturer teardown): Set 1 → bearing 3 inner-race + bearing 4 roller(ball); Set 2 → bearing 1 outer-race; Set 3 → bearing 3 outer-race. `normal` = the early files of each run; `fault` = the late files of the failed bearing (per-set window from the degradation onset). A computed `evidence_tier` (confirmed/weak/absent) flags detectability.
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  ## Caveats
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- - **Evidence-gated release — every image visibly supports its label.** IMS faults are WEAK run-to-failure signatures (the dataset's own reference paper, Qiu/Lee/Lin JSV 2006, studies *weak-signature detection*), so we curate by a computed `evidence_tier`: the **spectrum/reasoning** track keeps only `confirmed` records (the fault peak is actually present → faithful compute-then-check CoT); the **perception** tracks keep `confirmed`+`weak` and drop `absent`.
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- - **`inner_race` is EXCLUDED from this release.** IMS's Set-1 inner-race defect is a weak, multi-fault-mixed signature with too few detectable spectra to form a class (a handful of `confirmed` records). It is **retained in the raw form** (`evidence_tier` intact) for full transparency, but not published as a class. Published classes: **`normal` / `outer_race` / `ball`** `outer_race` (Sets 2-3) is the clean, strong class; `ball` (Set-1 roller) is smaller and also weak.
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  - **Few distinct bearings** — each fault class comes from *one* run-to-failure bearing, so a strict bearing-wise split is impossible within a class; the split is file-stratified. Treat cross-bearing generalization claims with care.
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  ## Source & license
 
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  | config | records | splits |
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  |---|---|---|
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+ | `spectrogram` | 609 | {'train': 488, 'test': 121} |
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+ | `scalogram` | 609 | {'train': 488, 'test': 121} |
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+ | `waveform` | 609 | {'train': 488, 'test': 121} |
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+ | `reshaped` | 609 | {'train': 488, 'test': 121} |
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  ## Schema (7-field unified record)
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  | field | meaning |
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  |---|---|
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+ | `query` | the classification instruction (one of 30 deterministic paraphrases per representation) |
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  | `image` | the rendered signal image (bytes embedded) |
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  | `annot` | gold fault class: normal / inner_race / outer_race / ball |
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  | `reasoning` | chain-of-thought (empty here; filled in the `-annotated` sibling) |
 
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  | `metadata` | JSON string: representation, set, timestamp, time_frac, channel, bearing, bearing_group, rpm, fs, fr_hz, features, fault_freqs, computed_verdict, computed_snr, evidence_tier, image_sha256, split |
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  ## Provenance & reproducibility
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+ Generated **deterministically** by `forge_agent/examples/ims/convert.py` (`250c7e5f89`) → `forge_model/IMS/convert_ims.py` (`229ee98152`); see `provenance.json`.
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  **Gold = the documented end-state defect** (readme / manufacturer teardown): Set 1 → bearing 3 inner-race + bearing 4 roller(ball); Set 2 → bearing 1 outer-race; Set 3 → bearing 3 outer-race. `normal` = the early files of each run; `fault` = the late files of the failed bearing (per-set window from the degradation onset). A computed `evidence_tier` (confirmed/weak/absent) flags detectability.
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  ## Caveats
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+ - **Evidence-gated, conflict-free release — every image supports (and never fights) its label.** IMS faults are WEAK run-to-failure signatures (the dataset's own reference paper, Qiu/Lee/Lin JSV 2006, studies *weak-signature detection*), so we curate by a computed `evidence_tier`: the **spectrum/reasoning** track keeps only `confirmed` records (the label-independent envelope-spectrum detector independently finds the documented fault → faithful compute-then-check CoT); the **perception** tracks keep `confirmed` + non-conflicting `weak` — weak records where the detector confidently found a **different** pattern than the gold are dropped (notably ball windows scoring as cage: ball faults are cage-modulated, so the single-label gold and the detector legitimately disagree there).
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+ - **`inner_race` is the scarce class — excluded from the first release, REINSTATED here.** The original band-limited detector confirmed only ~8 inner-race spectrum windows ("too few to form a class"); the current full-band demodulation search recovers IMS's weak Set-1 signature and confirms **36** windows — more than the published `ball` class (30) so the same evidence standard that excluded it now reinstates it. It remains the weakest class: ~78% of its raw windows are `absent`-tier (dropped per-record by the gate), and Set 1 ran two degrading bearings (inner-race B3 + ball B4) on one shaft. `outer_race` (Sets 2-3) is the clean, strong class.
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  - **Few distinct bearings** — each fault class comes from *one* run-to-failure bearing, so a strict bearing-wise split is impossible within a class; the split is file-stratified. Treat cross-bearing generalization claims with care.
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  ## Source & license