docs: total_energy is kinetic + internal, not the run's total (data v0.1.1)

README.md

@@ -34,8 +34,8 @@ root = snapshot_download("StructBench/wave-propagation-1d", repo_type="dataset")
 ```
 
 `cases.csv` lists every case with its split and loading/geometry
-parameters plus a SHA-256 manifest; pin the dataset repo's `v0.1.0`
-tag (`revision="v0.1.0"` — a data release, independent of the code
+parameters plus a SHA-256 manifest; pin the dataset repo's `v0.1.1`
+tag (`revision="v0.1.1"` — a data release, independent of the code
 version) for reproducible pipelines. Point
 `structbench-train --data-root` at the snapshot directory.
 Code, benchmark protocol, and leaderboards:
@@ -90,7 +90,7 @@ One HDF5 file per case, readable with `h5py` or any HDF5 tool. Every quantity is
 | `response/element/sph/effective_plastic_strain` | (T, P) | f32 | whatever the material model writes to LS-DYNA's plastic-strain history slot: equivalent plastic strain [–] for elastoplastic models, the K&C concrete model's scaled damage measure (0–2) for `*MAT_CONCRETE_DAMAGE_REL3`, and an unrelated history variable for purely elastic materials (treat as unused) |
 | `response/element/sph/{radius, n_neighbors, deletion}` | (T, P) | f32 | smoothing length [m], neighbour count, 0/1 deletion flag |
 | `response/element/<other>/…` | (T, E, …) | f32 | per-element response of any further element group |
-| `response/global/{kinetic_energy, internal_energy, total_energy}` | (T,) | f32 | [J] |
+| `response/global/{kinetic_energy, internal_energy, total_energy}` | (T,) | f32 | [J], as the solver's state output writes them. **`total_energy` is `kinetic + internal`**, to float32; it is NOT the run's total energy, because it excludes dissipation terms the solver's own energy ledger carries (rigid-wall work, contact, hourglass, damping). Which of those a given run had is a property of that run: on the Taylor sweep, the only one of these archives whose runs kept an energy ledger, the omission is the rigid-wall work and reaches 0.6-1.2 % of the peak, growing through the run. Do not read this channel as an energy balance; no verification record is published for this archive yet |
 
 `sph/stress` and `sph/strain` are 6-component Voigt tensors; scalar targets are loader-derived (see the card's aux field).
 
@@ -116,7 +116,7 @@ from structbench.datasets import load_case_trajectory
 
 traj = load_case_trajectory("<case_id>.h5", aux_field="axial_stress")
 traj.positions   # (T′, P, d) float32, mm
-traj.aux         # (T′, P) float32, MPa
+traj.aux         # (T′, P, C) float32, MPa (C = 1 here; ADR-0059)
 traj.time        # (T′,) float64, s
 ```
 

card.json

@@ -69,5 +69,6 @@
     }
   ],
   "data_access": "the canonical archive is public on Hugging Face \u2014 [StructBench/wave-propagation-1d](https://huggingface.co/datasets/StructBench/wave-propagation-1d) (CC BY 4.0): one `.h5` per case, `cases.csv` (split, loading/geometry parameters, SHA-256 manifest) and the LS-DYNA input decks under `decks/`. Fetch one case with `hf_hub_download` or the whole archive with `snapshot_download` and point `--data-root` at it; pin the dataset repo's `v0.1.0` tag (`revision=\"v0.1.0\"` \u2014 a data release, independent of the code version) for reproducible pipelines. The maintainer's OneDrive copy remains the master (ADR-0040, amended 2026-08-28).",
-  "data_access_label": "public on Hugging Face \u2014 [StructBench/wave-propagation-1d](https://huggingface.co/datasets/StructBench/wave-propagation-1d)"
+  "data_access_label": "public on Hugging Face \u2014 [StructBench/wave-propagation-1d](https://huggingface.co/datasets/StructBench/wave-propagation-1d)",
+  "units_anchors": []
 }