Datasets:
Formats:
csv
Size:
1K - 10K
Tags:
physics
inverse-problems
electrical-impedance-tomography
hyperbolic-lattices
resistor-networks
numerical-linear-algebra
License:
Download hardware_noise.csv from callensxavier/hyperbolic-resistor-networks: direct link, hf CLI and curl.
- Browser
- Download file 2.5 kB
-
https://huggingface.co/datasets/callensxavier/hyperbolic-resistor-networks/resolve/main/hardware_noise.csv
- Command line
-
hf download hf://datasets/callensxavier/hyperbolic-resistor-networks/hardware_noise.csv
-
curl -L -o hardware_noise.csv https://huggingface.co/datasets/callensxavier/hyperbolic-resistor-networks/resolve/main/hardware_noise.csv
2.5 kB
| board,contrast,iid_eps,trials,cell,top1 | |
| "{7,3} L=2",2.0,0.0003,20,none plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,none mean_removed,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,none gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.0001 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.0001 mean_removed,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.001 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.001 mean_removed,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.01 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.01 mean_removed,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.1 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,offset0.1 mean_removed,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.0001 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.0001 gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.0003 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.0003 gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.001 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.001 gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.003 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.003 gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.01 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,drift0.01 gain_fitted,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,bits10 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,bits12 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,bits14 plain,1.0 | |
| "{7,3} L=2",2.0,0.0003,20,bits16 plain,1.0 | |
| square R=6,2.0,0.0003,20,none plain,1.0 | |
| square R=6,2.0,0.0003,20,none mean_removed,1.0 | |
| square R=6,2.0,0.0003,20,none gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,offset0.0001 plain,1.0 | |
| square R=6,2.0,0.0003,20,offset0.0001 mean_removed,1.0 | |
| square R=6,2.0,0.0003,20,offset0.001 plain,1.0 | |
| square R=6,2.0,0.0003,20,offset0.001 mean_removed,1.0 | |
| square R=6,2.0,0.0003,20,offset0.01 plain,1.0 | |
| square R=6,2.0,0.0003,20,offset0.01 mean_removed,1.0 | |
| square R=6,2.0,0.0003,20,offset0.1 plain,1.0 | |
| square R=6,2.0,0.0003,20,offset0.1 mean_removed,1.0 | |
| square R=6,2.0,0.0003,20,drift0.0001 plain,1.0 | |
| square R=6,2.0,0.0003,20,drift0.0001 gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,drift0.0003 plain,1.0 | |
| square R=6,2.0,0.0003,20,drift0.0003 gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,drift0.001 plain,1.0 | |
| square R=6,2.0,0.0003,20,drift0.001 gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,drift0.003 plain,1.0 | |
| square R=6,2.0,0.0003,20,drift0.003 gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,drift0.01 plain,0.95 | |
| square R=6,2.0,0.0003,20,drift0.01 gain_fitted,1.0 | |
| square R=6,2.0,0.0003,20,bits10 plain,1.0 | |
| square R=6,2.0,0.0003,20,bits12 plain,1.0 | |
| square R=6,2.0,0.0003,20,bits14 plain,1.0 | |
| square R=6,2.0,0.0003,20,bits16 plain,1.0 | |