dataset page: install line
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README.md
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traj.time # (T′,) float64, s
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## Splits
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The benchmark's fixed split assignment, by case id (the file name without `.h5`). `train` fits the model and `val` selects it; every other split is held out for reporting — `test_interp` sits inside the training parameter range, `test_extrap` beyond it, `probe` cases are off-grid stress tests. Files shipped outside these splits (`held_aside` in the manifest) are not part of the protocol.
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- **train** (21): `T-20-60-100`, `T-20-80-100`, `T-20-100-100`, `T-20-60-110`, `T-20-80-110`, `T-20-100-110`, `T-20-60-120`, `T-20-80-120`, `T-20-100-120`, `T-20-60-140`, `T-20-80-140`, `T-20-100-140`, `T-20-60-160`, `T-20-80-160`, `T-20-100-160`, `T-20-60-180`, `T-20-80-180`, `T-20-100-180`, `T-20-60-190`, `T-20-80-190`, `T-20-100-190`
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- **val** (3): `T-20-60-150`, `T-20-80-150`, `T-20-100-150`
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- **test_interp** (6): `T-20-60-130`, `T-20-80-130`, `T-20-100-130`, `T-20-60-170`, `T-20-80-170`, `T-20-100-170`
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- **test_extrap** (3): `T-20-60-200`, `T-20-80-200`, `T-20-100-200`
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## Benchmark protocol
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This archive backs the **Taylor2D-Impact** benchmark in StructBench. Task: autoregressive transition (ADR-0019); auxiliary target `von_mises_stress` (MPa); 6 input frames, horizon full, scored at native output times; quantities of interest: final_length, mushroom_width, peak_von_mises, t_peak_von_mises. The full evaluation protocol and its rationale, the baseline recipes and checkpoints, and the current leaderboard live on the benchmark page in the code repository — <https://github.com/qilinli/StructBench/blob/main/docs/benchmarks/taylor_impact_2d.md> — so the numbers have a single home. To train a baseline on this archive:
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```bash
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pip install git+https://github.com/qilinli/StructBench
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structbench-train --mode train --config configs/taylor_impact_2d/cgn.toml \
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--data-root /path/to/this/folder --out runs/taylor_impact_2d-cgn
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```
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traj.time # (T′,) float64, s
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```
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## Benchmark protocol
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This archive backs the **Taylor2D-Impact** benchmark in StructBench. Task: autoregressive transition (ADR-0019); auxiliary target `von_mises_stress` (MPa); 6 input frames, horizon full, scored at native output times; quantities of interest: final_length, mushroom_width, peak_von_mises, t_peak_von_mises. The full evaluation protocol and its rationale, the baseline recipes and checkpoints, and the current leaderboard live on the benchmark page in the code repository — <https://github.com/qilinli/StructBench/blob/main/docs/benchmarks/taylor_impact_2d.md> — so the numbers have a single home. To train a baseline on this archive:
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```bash
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pip install git+https://github.com/qilinli/StructBench # or: pip install -e .
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structbench-train --mode train --config configs/taylor_impact_2d/cgn.toml \
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--data-root /path/to/this/folder --out runs/taylor_impact_2d-cgn
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```
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