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Ashray-g/dingo-t1-waveforms-25M

DINGO-T1 waveform dataset — 25M (IMRPhenomXPHM, multibanded FD, SVD-200) 25,000,000 frequency-domain precessing-BBH waveforms generated with the dingo pipeline, matching the DINGO-T1 (arXiv:2512.02968) data setup. Approximant: IMRPhenomXPHM (precession + higher modes), f_ref = 20 Hz Domain: MultibandedFrequencyDomain, f ∈ [20, 1810] Hz, base δf = 0.125 → 1104 MFD bins Compression: whitening (aLIGO_ZERO_DET_high_P_asd.txt) + SVD basis size 200 per polarization Intrinsic prior:… See the full description on the dataset page: https://huggingface.co/datasets/Ashray-g/dingo-t1-waveforms-25M.

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Dataset Card

DINGO-T1 waveform dataset — 25M (IMRPhenomXPHM, multibanded FD, SVD-200)

25,000,000 frequency-domain precessing-BBH waveforms generated with the dingo pipeline, matching the DINGO-T1 (arXiv:2512.02968) data setup.

—Approximant: IMRPhenomXPHM (precession + higher modes), f_ref = 20 Hz
—Domain: MultibandedFrequencyDomain, f ∈ [20, 1810] Hz, base δf = 0.125 → 1104 MFD bins
—Compression: whitening (aLIGO_ZERO_DET_high_P_asd.txt) + SVD basis size 200 per polarization
—Intrinsic prior: chirp_mass U(15,150) M☉, q U(0.125,1), |a₁|,|a₂| < 0.99 (precessing), isotropic angles
—Sharding: 5 files × 5M each — dataset_part_0..4.hdf5, ~31 GB/shard (~155 GB total). Each shard is a self-contained dingo WaveformDataset (same SVD basis + settings embedded).

Files

—dataset_part_{0..4}.hdf5 — the 5 shards (5M waveforms each)
—svd.hdf5 — the shared SVD basis (also embedded in each shard)
—settings.yaml — exact generation settings

Usage

Load any shard directly:

python

from dingo.gw.dataset import WaveformDataset
wfd = WaveformDataset(file_name="dataset_part_0.hdf5")

Merge all 5 into a single training file (needs ~160 GB RAM):

bash

dingo_merge_datasets --prefix dataset_part_ --num_parts 5 --out_file waveform_dataset.hdf5