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[[[-0.0026691232342272997,-0.001068016397766769,-0.008263410069048405,0.0065569751895964146,0.006556(...TRUNCATED) | [
0.2,
1.15
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[[[-0.008871433325111866,0.00040136012830771506,0.00940364133566618,0.011313454248011112,-0.00814245(...TRUNCATED) | [
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[[[0.002900986233726144,0.010081146843731403,0.006987909320741892,-0.005159715656191111,-0.008022676(...TRUNCATED) | [
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[[[0.0013930874411016703,0.002495880238711834,0.0015595197910442948,0.010855346918106079,-0.00228265(...TRUNCATED) | [
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[[[-0.004805631469935179,-0.0036487076431512833,0.001856420305557549,0.001856420305557549,-0.0005878(...TRUNCATED) | [
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[[[0.003161623142659664,-0.0015796433435752988,0.00010112888412550092,-0.004329256247729063,-0.00547(...TRUNCATED) | [
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[[[-0.009759437292814255,0.00015039391291793436,-0.0023198320996016264,-0.002772499807178974,0.00761(...TRUNCATED) | [
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[[[-0.002123401267454028,0.0012767465086653829,0.002328925533220172,0.0019252162892371416,0.01067418(...TRUNCATED) | [
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0.4341796875
] |
End of preview. Expand
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Dataset Structure
This dataset contains clean simulated weak lensing maps without noise.
Data Fields
- input: 4D tensor of shape (N, 1, 66, 66) containing weak lensing maps, N=number of examples.
- label: 2D array of shape (N, 2) containing the label for cosmological parameters $\Omega_m$ and $\sigma_8$ for each examples.
Data Splits
- train: 90,000 examples
- validation: 10,000 examples
- test: 10,000 examples
Usage
from datasets import load_dataset
dataset = load_dataset('BrachioLab/massmaps-cosmogrid-100k')
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