JayWadekar commited on
Commit ·
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Parent(s): 66723f6
Add template bank benchmark data
Browse files- README.md +76 -3
- template_bank/Aref_weights.npy +3 -0
- template_bank/README.md +38 -0
- template_bank/bank_wf_params.npy +3 -0
- template_bank/bank_wf_params_test.npy +3 -0
- template_bank/calpha_grid_params.npy +3 -0
- template_bank/f_amp.npy +3 -0
README.md
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---
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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---
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# gwBenchmarks Dataset Files
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This repository hosts dataset artifacts for the `gwBenchmarks` codebase:
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```text
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https://github.com/tousifislam/gwBenchmarks
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```
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The GitHub repository contains benchmark code, curation scripts, prompts, and
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evaluators. This Hugging Face dataset repository stores the binary benchmark
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artifacts that should not be committed to GitHub.
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## Directory Layout
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Use one top-level directory per benchmark:
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```text
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waveform/
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remnant/
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dynamics/
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ringdown/
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analytic/
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validity/
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template_bank/
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```
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Each benchmark directory should contain:
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- the data files used by that benchmark
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- a short `README.md` describing file names, shapes, and provenance
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- checksums or generation details when available
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Recommended file names match the paths expected by `gwBenchmarks`:
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```text
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waveform/waveform_training.h5
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waveform/waveform_validation.h5
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remnant/remnant_training.h5
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remnant/remnant_validation.h5
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dynamics/dynamics_training.h5
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dynamics/dynamics_validation.h5
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ringdown/ringdown_training.h5
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ringdown/ringdown_validation.h5
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analytic/analytic_training.h5
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analytic/analytic_validation.h5
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validity/validity_training.h5
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validity/validity_validation.h5
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template_bank/f_amp.npy
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template_bank/Aref_weights.npy
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template_bank/bank_wf_params.npy
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template_bank/bank_wf_params_test.npy
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template_bank/calpha_grid_params.npy
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```
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## Uploading New Benchmark Data
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Clone this dataset repository, add files under the appropriate benchmark
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directory, and push:
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```bash
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git clone https://huggingface.co/datasets/GWagents/gwBenchmarks
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cd gwBenchmarks
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mkdir -p waveform
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cp /path/to/waveform_training.h5 waveform/
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cp /path/to/waveform_validation.h5 waveform/
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git add waveform
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git commit -m "Add waveform benchmark data"
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git push
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```
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The repository uses Git LFS for binary artifacts including `.h5`, `.hdf5`,
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`.npy`, and `.npz` files.
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template_bank/Aref_weights.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:2429928286e2245d3a53f6b87cf5aeb56a8f28ecae4a8fd1e4389c280b68b733
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size 48128
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template_bank/README.md
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# Template Bank Benchmark Files
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These files support the `template_bank` benchmark in `GWagents/gwBenchmarks`.
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## Files
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- `f_amp.npy`: frequency grid in Hz, shape `(3000,)`
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- `Aref_weights.npy`: amplitude reference and overlap weights, shape `(2, 3000)`
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- `bank_wf_params.npy`: public 4D parameter pool, shape `(8574, 4)`
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- `bank_wf_params_test.npy`: hidden/local evaluation 4D parameter pool, shape `(1000, 4)`
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- `calpha_grid_params.npy`: literature-reference parameter grid, shape `(9, 4)`
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Submitted template-bank rows use five parameters:
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```text
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[m1, m2, s1z, s2z, phi_ref]
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```
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The public and hidden parameter pools omit `phi_ref`; benchmark evaluators append
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deterministic phases when generating evaluation waveforms.
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## Expected Code Paths
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In a local `gwBenchmarks` checkout, these files should be placed under:
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```text
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datasets/template_bank/
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```
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The evaluator expects:
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```text
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datasets/template_bank/f_amp.npy
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datasets/template_bank/Aref_weights.npy
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datasets/template_bank/bank_wf_params.npy
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datasets/template_bank/bank_wf_params_test.npy
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datasets/template_bank/calpha_grid_params.npy
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```
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template_bank/bank_wf_params.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cc133da0b789dc85da961917acff5f1a473aa73bd4a786fd4eb31c550d47314
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size 274496
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template_bank/bank_wf_params_test.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:7192bb5afc536b24bfb182d31e1950291250b1eb58d64e82d3e6ed74df62ca35
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size 32128
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template_bank/calpha_grid_params.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:125672ce0a760013cfd53922ad34de42f80412b7f1c78e8a61cfa193ddc3f576
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size 416
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template_bank/f_amp.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:3712b44852a5da6d94e3159641b2eff4124475e1b3d529046812a489ec9159b1
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size 24128
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