Shorten the card; keep the previous card verbatim in HISTORY.md

HISTORY.md

@@ -0,0 +1,90 @@
+# Development history
+
+This is the previous model card, kept verbatim.
+
+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- image-segmentation
+tags:
+- optical-gas-imaging
+- audit
+- weak-masks
+configs:
+- config_name: recording_manifest
+  data_files:
+  - split: development_train
+    path: recording_manifest/development_train.csv
+  - split: development_tune
+    path: recording_manifest/development_tune.csv
+  - split: development_compare
+    path: recording_manifest/development_compare.csv
+- config_name: compare_frames
+  data_files:
+  - split: development_compare
+    path: compare_frames.csv
+- config_name: candidates
+  data_files:
+  - split: development_tune
+    path: candidates.csv
+---
+
+# Controlled Diet recording/mask audit
+
+**137 audit rows describe 42 selected source images in nine recording IDs.**
+They are not 137 images, independent releases, chemical measurements or gas-free
+sessions. This native CSV dataset transfers the reviewed frozen CPU JSON records;
+it adds no source pixel access, scoring, fitting or model selection.
+
+| Configuration | Development roles | Rows |
+|---|---|---:|
+| recording_manifest | development_train / development_tune / development_compare | 18 / 12 / 12 = 42 |
+| compare_frames | development_compare | 12 filenames × 7 frozen arms = 84 |
+| candidates | development_tune | All 11 candidates, including the six learned fits |
+
+`recording_manifest` exposes original filenames, recording IDs, source paths/full
+LFS SHA256/bytes, dietary class IDs and publisher foreground counts. Original
+publisher splits are descriptive; the study assigns complete recording IDs to
+disjoint development roles. `recording_selection.json` contains the same minimal
+42 row records. Source dietary IDs are not per-frame concentration measurements.
+All source foreground counts are positive; physical-release independence is unknown.
+
+`compare_frames` exposes native 640×480 integer TP/FP/FN/TN and original nullable
+IoU/Dice/precision/recall/`background_pixel_overprediction_ratio`. Counts refer to
+publisher-generated nonzero masks. Undefined metrics are empty CSV cells, not zero.
+The background-pixel ratio FP/(FP+TN) is weak-reference pixel overprediction; it is
+never a gas false-alarm rate, gas-absence score or count of negative recording sessions.
+Primary aggregation is equal-weight recording means of frame IoU, as defined in
+`protocol.json`; these rows are per-frame evidence, not a new pooled selection rule.
+
+`candidates` retains completed outcomes, frozen selection flags, L2/step counts,
+objective endpoints/trace counts and tune recording-macro IoU. Baselines' undefined
+training objectives/L2 are empty cells. Comparison did not retune/refit/promote.
+The spatial prior comparison IoU is 0.138078, tiny MLP 0.026416, logistic 0.022555:
+both learned models lose. No industrial pipeline integration or field/chemical/device
+qualification is provided. All roles remain exploratory `development_*` roles.
+
+## Source, attribution and modifications
+
+Source: [Controlled Diet (CD) Dataset for Methane Plume Detection](https://huggingface.co/datasets/baselab/controlled-diet-methane-dataset),
+by Mohamed G. Embaby, Toqi Tahamid Sarker, Amer AbuGhazaleh and Khaled R. Ahmed,
+Southern Illinois University Carbondale. Exact revision `9475f96c32dd4764471e4358ca6659b0dd348ecd`.
+[Pinned source license](https://huggingface.co/datasets/baselab/controlled-diet-methane-dataset/blob/9475f96c32dd4764471e4358ca6659b0dd348ecd/LICENSE)
+declares CC BY 4.0; a source metadata JSON separately declares CC0. The unresolved
+discrepancy is retained; this audit elects CC BY 4.0 and makes no public-domain claim.
+See [ATTRIBUTION.md](ATTRIBUTION.md), [LICENSE](LICENSE) and
+[CC BY 4.0 terms](https://creativecommons.org/licenses/by/4.0/). No endorsement is implied.
+
+Changes: prospectively selected 42 pairs; recording-disjoint development roles;
+nonzero binary mask occupancy; fractional training targets and native-resolution
+confusion counts; CSV transfer of the frozen source IDs and CPU results. Filenames,
+source hashes, bytes and publisher counts are retained. No copied article or image
+payload is in this audit repository. The related model's original cloud archive
+retains the qualified PNG subset with its source notices and separate dependency grants.
+
+Selection SHA256: `467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb`.
+Complete evidence/model/source: https://huggingface.co/sankalpsthakur/controlled-diet-ogi-mask-reference
+Read-only viewer target: https://huggingface.co/spaces/sankalpsthakur/cd-ogi-mask-reference-audit
+Anonymous fixed-revision file readback and all native audit tables now pass. The [publication record](https://huggingface.co/sankalpsthakur/controlled-diet-ogi-mask-reference/blob/main/PUBLICATION.md) identifies exact content and observed Viewer revisions; generic Viewer URLs remain cached selectors.

README.md

@@ -29,38 +29,23 @@ configs:
 
 # Controlled Diet recording/mask audit
 
-**137 audit rows describe 42 selected source images in nine recording IDs.**
-They are not 137 images, independent releases, chemical measurements or gas-free
-sessions. This native CSV dataset transfers the reviewed frozen CPU JSON records;
-it adds no source pixel access, scoring, fitting or model selection.
+Audit tables for a small gas-imaging study on baselab's Controlled Diet dataset, which is
+laboratory methane from rumen fermentation. Its 137 rows describe 42 source images from
+nine recordings. They are not images, chemical measurements or gas-free sessions.
 
-| Configuration | Development roles | Rows |
-|---|---|---:|
-| recording_manifest | development_train / development_tune / development_compare | 18 / 12 / 12 = 42 |
-| compare_frames | development_compare | 12 filenames × 7 frozen arms = 84 |
-| candidates | development_tune | All 11 candidates, including the six learned fits |
+| Config | Split | Rows | Contents |
+|---|---|---:|---|
+| `recording_manifest` | `development_train` / `_tune` / `_compare` | 18 / 12 / 12 | Filenames, recording IDs, source hashes, diet class IDs, publisher foreground counts |
+| `compare_frames` | `development_compare` | 84 | 12 frames × 7 models: native 640×480 confusion counts, IoU, Dice, precision, recall |
+| `candidates` | `development_tune` | 11 | Every candidate's outcome, selection flags and tuning IoU |
 
-`recording_manifest` exposes original filenames, recording IDs, source paths/full
-LFS SHA256/bytes, dietary class IDs and publisher foreground counts. Original
-publisher splits are descriptive; the study assigns complete recording IDs to
-disjoint development roles. `recording_selection.json` contains the same minimal
-42 row records. Source dietary IDs are not per-frame concentration measurements.
-All source foreground counts are positive; physical-release independence is unknown.
+The spatial prior's comparison IoU is 0.138078, against 0.026416 for the tiny MLP and
+0.022555 for logistic regression: both learned models lose. Empty cells are undefined
+metrics, not zeros. `background_pixel_overprediction_ratio` measures pixel overprediction
+against weak masks. It is never a gas false-alarm rate.
 
-`compare_frames` exposes native 640×480 integer TP/FP/FN/TN and original nullable
-IoU/Dice/precision/recall/`background_pixel_overprediction_ratio`. Counts refer to
-publisher-generated nonzero masks. Undefined metrics are empty CSV cells, not zero.
-The background-pixel ratio FP/(FP+TN) is weak-reference pixel overprediction; it is
-never a gas false-alarm rate, gas-absence score or count of negative recording sessions.
-Primary aggregation is equal-weight recording means of frame IoU, as defined in
-`protocol.json`; these rows are per-frame evidence, not a new pooled selection rule.
-
-`candidates` retains completed outcomes, frozen selection flags, L2/step counts,
-objective endpoints/trace counts and tune recording-macro IoU. Baselines' undefined
-training objectives/L2 are empty cells. Comparison did not retune/refit/promote.
-The spatial prior comparison IoU is 0.138078, tiny MLP 0.026416, logistic 0.022555:
-both learned models lose. No industrial pipeline integration or field/chemical/device
-qualification is provided. All roles remain exploratory `development_*` roles.
+Models, weights and the full report are in
+[controlled-diet-ogi-mask-reference](https://huggingface.co/sankalpsthakur/controlled-diet-ogi-mask-reference).
 
 ## Source, attribution and modifications
 
@@ -80,7 +65,4 @@ source hashes, bytes and publisher counts are retained. No copied article or ima
 payload is in this audit repository. The related model's original cloud archive
 retains the qualified PNG subset with its source notices and separate dependency grants.
 
-Selection SHA256: `467c1c8595dc1a23365f80038771c86d35542640e77c6b9924640cb8655a2adb`.
-Complete evidence/model/source: https://huggingface.co/sankalpsthakur/controlled-diet-ogi-mask-reference
-Read-only viewer target: https://huggingface.co/spaces/sankalpsthakur/cd-ogi-mask-reference-audit
-Anonymous fixed-revision file readback and all native audit tables now pass. The [publication record](https://huggingface.co/sankalpsthakur/controlled-diet-ogi-mask-reference/blob/main/PUBLICATION.md) identifies exact content and observed Viewer revisions; generic Viewer URLs remain cached selectors.
+The previous card, with selection hashes and publication records, is in [HISTORY.md](HISTORY.md).