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Datasets:
PGLearn
/
PGLearn-Small

Tasks:
Tabular Regression
Size:
1M<n<10M
Tags:
energy
optimization
optimal_power_flow
power_grid
License:
Dataset card Files Community
4
klamike commited on
Commit
820c1df
·
unverified ·
1 Parent(s): e401105

fix format

Browse files
Files changed (36) hide show
  1. 118_ieee/config.toml +1 -1
  2. 14_ieee/config.toml +1 -1
  3. config.toml → 300_ieee/config.toml +1 -1
  4. {infeasible → 300_ieee/infeasible}/ACOPF/dual.h5.gz +0 -0
  5. {infeasible → 300_ieee/infeasible}/ACOPF/meta.h5.gz +0 -0
  6. {infeasible → 300_ieee/infeasible}/ACOPF/primal.h5.gz +0 -0
  7. {infeasible → 300_ieee/infeasible}/DCOPF/dual.h5.gz +0 -0
  8. {infeasible → 300_ieee/infeasible}/DCOPF/meta.h5.gz +0 -0
  9. {infeasible → 300_ieee/infeasible}/DCOPF/primal.h5.gz +0 -0
  10. {infeasible → 300_ieee/infeasible}/SOCOPF/dual.h5.gz +0 -0
  11. {infeasible → 300_ieee/infeasible}/SOCOPF/meta.h5.gz +0 -0
  12. {infeasible → 300_ieee/infeasible}/SOCOPF/primal.h5.gz +0 -0
  13. {infeasible → 300_ieee/infeasible}/input.h5.gz +0 -0
  14. {test → 300_ieee/test}/ACOPF/dual.h5.gz +0 -0
  15. {test → 300_ieee/test}/ACOPF/meta.h5.gz +0 -0
  16. {test → 300_ieee/test}/ACOPF/primal.h5.gz +0 -0
  17. {test → 300_ieee/test}/DCOPF/dual.h5.gz +0 -0
  18. {test → 300_ieee/test}/DCOPF/meta.h5.gz +0 -0
  19. {test → 300_ieee/test}/DCOPF/primal.h5.gz +0 -0
  20. {test → 300_ieee/test}/SOCOPF/dual.h5.gz +0 -0
  21. {test → 300_ieee/test}/SOCOPF/meta.h5.gz +0 -0
  22. {test → 300_ieee/test}/SOCOPF/primal.h5.gz +0 -0
  23. {test → 300_ieee/test}/input.h5.gz +0 -0
  24. {train → 300_ieee/train}/ACOPF/dual.h5.gz +0 -0
  25. {train → 300_ieee/train}/ACOPF/meta.h5.gz +0 -0
  26. {train → 300_ieee/train}/ACOPF/primal.h5.gz +0 -0
  27. {train → 300_ieee/train}/DCOPF/dual.h5.gz +0 -0
  28. {train → 300_ieee/train}/DCOPF/meta.h5.gz +0 -0
  29. {train → 300_ieee/train}/DCOPF/primal.h5.gz +0 -0
  30. {train → 300_ieee/train}/SOCOPF/dual.h5.gz +0 -0
  31. {train → 300_ieee/train}/SOCOPF/meta.h5.gz +0 -0
  32. {train → 300_ieee/train}/SOCOPF/primal.h5.gz +0 -0
  33. {train → 300_ieee/train}/input.h5.gz +0 -0
  34. 30_ieee/config.toml +1 -1
  35. 57_ieee/config.toml +1 -1
  36. 89_pegase/config.toml +1 -1
118_ieee/config.toml CHANGED
@@ -16,7 +16,7 @@ extract_memory = "256gb"
16
  [sampler]
17
  # data sampler options
18
  [sampler.load]
19
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
20
  l = 0.80 # Lower bound of base load factor
21
  u = 1.20 # Upper bound of base load factor
22
  sigma = 0.20 # Relative (multiplicative) noise level.
 
16
  [sampler]
17
  # data sampler options
18
  [sampler.load]
19
+ noise_type = "ScaledUniform"
20
  l = 0.80 # Lower bound of base load factor
21
  u = 1.20 # Upper bound of base load factor
22
  sigma = 0.20 # Relative (multiplicative) noise level.
14_ieee/config.toml CHANGED
@@ -5,7 +5,7 @@ floating_point_type = "Float32"
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
9
  l = 0.80 # Lower bound of base load factor
10
  u = 1.20 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
 
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
+ noise_type = "ScaledUniform"
9
  l = 0.80 # Lower bound of base load factor
10
  u = 1.20 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
config.toml → 300_ieee/config.toml RENAMED
@@ -5,7 +5,7 @@ floating_point_type = "Float32"
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
9
  l = 0.60 # Lower bound of base load factor
10
  u = 1.00 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
 
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
+ noise_type = "ScaledUniform"
9
  l = 0.60 # Lower bound of base load factor
10
  u = 1.00 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
{infeasible → 300_ieee/infeasible}/ACOPF/dual.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/ACOPF/meta.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/ACOPF/primal.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/DCOPF/dual.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/DCOPF/meta.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/DCOPF/primal.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/SOCOPF/dual.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/SOCOPF/meta.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/SOCOPF/primal.h5.gz RENAMED
File without changes
{infeasible → 300_ieee/infeasible}/input.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/ACOPF/dual.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/ACOPF/meta.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/ACOPF/primal.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/DCOPF/dual.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/DCOPF/meta.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/DCOPF/primal.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/SOCOPF/dual.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/SOCOPF/meta.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/SOCOPF/primal.h5.gz RENAMED
File without changes
{test → 300_ieee/test}/input.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/ACOPF/dual.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/ACOPF/meta.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/ACOPF/primal.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/DCOPF/dual.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/DCOPF/meta.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/DCOPF/primal.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/SOCOPF/dual.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/SOCOPF/meta.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/SOCOPF/primal.h5.gz RENAMED
File without changes
{train → 300_ieee/train}/input.h5.gz RENAMED
File without changes
30_ieee/config.toml CHANGED
@@ -5,7 +5,7 @@ floating_point_type = "Float32"
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
 
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
+ noise_type = "ScaledUniform"
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
57_ieee/config.toml CHANGED
@@ -5,7 +5,7 @@ floating_point_type = "Float32"
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
 
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
+ noise_type = "ScaledUniform"
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
89_pegase/config.toml CHANGED
@@ -5,7 +5,7 @@ floating_point_type = "Float32"
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
- noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.
 
5
  [sampler]
6
  # data sampler options
7
  [sampler.load]
8
+ noise_type = "ScaledUniform"
9
  l = 0.6 # Lower bound of base load factor
10
  u = 1.0 # Upper bound of base load factor
11
  sigma = 0.20 # Relative (multiplicative) noise level.