OmniSky v1
Collection
Crossmatched, normalized multimodal astronomy: 20.4M DESI DR1 objects x 24 catalogs, 822 GB. Start with mmu-norm-index. • 20 items • Updated
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request_id: 01M002BAYYFEBJ73HPZ500DXZR; (12) invalid range
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tic int64 | sector int64 | split large_string | t_rel_days list | rel_flux list | rel_flux_err list | quality list | valid list | flux_median_e_per_s float64 | t0_btjd_tdb float64 |
|---|---|---|---|---|---|---|---|---|---|
1,539,148 | 63 | train | [-0.8032427430152893,-0.8009278774261475,-0.7986130714416504,-0.7962982654571533,-0.7939834594726562(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [40,32,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,409(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 2,321.670044 | 3,015.173149 |
1,539,255 | 63 | train | [-0.7986130714416504,-0.7962982058525085,-0.7939833998680115,-0.7916685938835144,-0.7893537878990173(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [40,32,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,409(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 3,489.225708 | 3,015.168525 |
1,539,268 | 63 | train | [-0.7916684746742249,-0.7893536686897278,-0.7870388031005859,-0.7847239971160889,-0.7824091911315918(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [40,32,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,409(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 442.999283 | 3,015.16158 |
1,539,589 | 9 | train | [-1.229193925857544,-1.208360195159912,-1.1875264644622803,-1.1666927337646484,-1.1458590030670166,-(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [16520,16512,16512,16512,16384,16384,16384,16512,16512,16512,16512,16512,16512,16512,16512,16384,163(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 2,071.712158 | 1,544.474579 |
1,539,589 | 36 | train | [-1.4722354412078857,-1.4652910232543945,-1.4583464860916138,-1.4514020681381226,-1.4444575309753418(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [4104,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 2,035.958252 | 2,282.384126 |
1,539,589 | 63 | train | [-0.7847237586975098,-0.7824088931083679,-0.7800940871238708,-0.7777792811393738,-0.7754644751548767(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [40,32,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,409(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 2,010.976624 | 3,015.154652 |
1,539,780 | 9 | train | [-1.2291936874389648,-1.208359956741333,-1.1875262260437012,-1.1666924953460693,-1.1458587646484375,(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [16520,16512,16512,16512,16384,16384,16384,16512,16512,16512,16512,16512,16512,16512,16512,16384,163(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 1,556.557129 | 1,544.474591 |
1,539,780 | 36 | train | [-1.4583461284637451,-1.4514015913009644,-1.4444571733474731,-1.4375126361846924,-1.4305682182312012(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [4104,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 1,472.541138 | 2,282.370248 |
1,539,780 | 63 | train | [-0.7800938487052917,-0.7777790427207947,-0.7754642367362976,-0.7731494307518005,-0.7708345651626587(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [40,32,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,4096,409(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 1,637.760437 | 3,015.150032 |
1,540,045 | 9 | train | [-1.2291933298110962,-1.2083595991134644,-1.1875258684158325,-1.1666921377182007,-1.1458584070205688(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [16520,16512,16512,16512,16384,16384,16384,16512,16512,16512,16512,16512,16512,16512,16512,16384,163(...TRUNCATED) | [false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,fal(...TRUNCATED) | 2,477.308594 | 1,544.474609 |
End of preview.
L2 model-ready views (release v1)
The mmu-l2-* repositories provide processed, model-ready versions of the matching mmu-norm-* L1 data, while L1 keeps the normalized source measurements. L2 applies documented processing steps for training and evaluation, with the details for reversing each transformation stored in the row or in provenance.json.
| Repo | View | Reversal |
|---|---|---|
mmu-l2-tess |
per-sector relative flux f/median−1, time from first valid cadence |
flux = (rel+1)×flux_median_e_per_s; t = t_rel + t0 |
mmu-l2-sdss |
spectra zero-padded to 4,800 samples with valid mask |
drop valid=false samples |
mmu-l2-chandra |
bins zero-padded to 512 with valid mask |
drop padding |
mmu-l2-sne |
time-sorted sequences, band/survey tokens, ONE scale per object (flux: ÷ median |f|; mag: − median m), representation column |
flux rows: v×scale; mag rows: v+scale |
mmu-l2-provabgs |
16/50/84 posterior percentiles per parameter | samples remain in L1 |
Each row keeps its assignment from splits/v1 (train, val, test, or unassigned). Images, DESI and VIPERS spectra, and Gaia already have a fixed shape, so their L2 preparation uses the L1 tensors with the training-only robust scaling statistics in mmu-norm-index under l2_stats/v1/ (z = (x − median) / iqr).
In every L2 view, padding is marked valid=false, one amplitude scale is used per object to preserve colors, statistics are fit on the training split only, and gaps are left as gaps.
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