Dataset Viewer
The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.
Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('hdf5', {}), NamedSplit('validation'): ('hdf5', {}), NamedSplit('test'): (None, {})}
Error code: FileFormatMismatchBetweenSplitsError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
gwBenchmarks Dataset Files
This repository hosts dataset artifacts for the gwBenchmarks codebase:
https://github.com/tousifislam/gwBenchmarks
The GitHub repository contains benchmark code, curation scripts, prompts, and evaluators. This Hugging Face dataset repository stores the binary benchmark artifacts that should not be committed to GitHub.
Directory Layout
Use one top-level directory per benchmark:
waveform/
remnant/
dynamics/
ringdown/
analytic/
validity/
template_bank/
Each benchmark directory should contain:
- the data files used by that benchmark
- a short
README.mddescribing file names, shapes, and provenance - checksums or generation details when available
Recommended file names match the paths expected by gwBenchmarks:
waveform/waveform_training.h5
waveform/waveform_validation.h5
remnant/remnant_training.h5
remnant/remnant_validation.h5
dynamics/dynamics_training.h5
dynamics/dynamics_validation.h5
ringdown/ringdown_training.h5
ringdown/ringdown_validation.h5
analytic/analytic_training.h5
analytic/analytic_validation.h5
validity/validity_training.h5
validity/validity_validation.h5
template_bank/f_amp.npy
template_bank/Aref_weights.npy
template_bank/bank_wf_params.npy
template_bank/bank_wf_params_test.npy
template_bank/calpha_grid_params.npy
Uploading New Benchmark Data
Clone this dataset repository, add files under the appropriate benchmark directory, and push:
git clone https://huggingface.co/datasets/GWagents/gwBenchmarks
cd gwBenchmarks
mkdir -p waveform
cp /path/to/waveform_training.h5 waveform/
cp /path/to/waveform_validation.h5 waveform/
git add waveform
git commit -m "Add waveform benchmark data"
git push
The repository uses Git LFS for binary artifacts including .h5, .hdf5,
.npy, and .npz files.
- Downloads last month
- 36