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Datasets:
PGLearn
/
PGLearn-Medium-2869_pegase

Tasks:
Tabular Regression
Modalities:
Tabular
Text
Time-series
Formats:
parquet
Size:
100K - 1M
Tags:
energy
optimization
optimal_power_flow
power_grid
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
11
klamike commited on
Commit
c48d9ac
·
verified ·
1 Parent(s): 96b745f

Convert dataset to Parquet (part 00000-of-00010)

Browse files
Files changed (50) hide show
  1. 2869_pegase/train-00000-of-00379.parquet +3 -0
  2. 2869_pegase/train-00001-of-00379.parquet +3 -0
  3. 2869_pegase/train-00002-of-00379.parquet +3 -0
  4. 2869_pegase/train-00003-of-00379.parquet +3 -0
  5. 2869_pegase/train-00004-of-00379.parquet +3 -0
  6. 2869_pegase/train-00005-of-00379.parquet +3 -0
  7. 2869_pegase/train-00006-of-00379.parquet +3 -0
  8. 2869_pegase/train-00007-of-00379.parquet +3 -0
  9. 2869_pegase/train-00008-of-00379.parquet +3 -0
  10. 2869_pegase/train-00009-of-00379.parquet +3 -0
  11. 2869_pegase/train-00010-of-00379.parquet +3 -0
  12. 2869_pegase/train-00011-of-00379.parquet +3 -0
  13. 2869_pegase/train-00012-of-00379.parquet +3 -0
  14. 2869_pegase/train-00013-of-00379.parquet +3 -0
  15. 2869_pegase/train-00014-of-00379.parquet +3 -0
  16. 2869_pegase/train-00015-of-00379.parquet +3 -0
  17. 2869_pegase/train-00016-of-00379.parquet +3 -0
  18. 2869_pegase/train-00017-of-00379.parquet +3 -0
  19. 2869_pegase/train-00018-of-00379.parquet +3 -0
  20. 2869_pegase/train-00019-of-00379.parquet +3 -0
  21. 2869_pegase/train-00020-of-00379.parquet +3 -0
  22. 2869_pegase/train-00021-of-00379.parquet +3 -0
  23. 2869_pegase/train-00022-of-00379.parquet +3 -0
  24. 2869_pegase/train-00023-of-00379.parquet +3 -0
  25. 2869_pegase/train-00024-of-00379.parquet +3 -0
  26. 2869_pegase/train-00025-of-00379.parquet +3 -0
  27. 2869_pegase/train-00026-of-00379.parquet +3 -0
  28. 2869_pegase/train-00027-of-00379.parquet +3 -0
  29. 2869_pegase/train-00028-of-00379.parquet +3 -0
  30. 2869_pegase/train-00029-of-00379.parquet +3 -0
  31. 2869_pegase/train-00030-of-00379.parquet +3 -0
  32. 2869_pegase/train-00031-of-00379.parquet +3 -0
  33. 2869_pegase/train-00032-of-00379.parquet +3 -0
  34. 2869_pegase/train-00033-of-00379.parquet +3 -0
  35. 2869_pegase/train-00034-of-00379.parquet +3 -0
  36. 2869_pegase/train-00035-of-00379.parquet +3 -0
  37. 2869_pegase/train-00036-of-00379.parquet +3 -0
  38. 2869_pegase/train-00037-of-00379.parquet +3 -0
  39. 2869_pegase/train-00038-of-00379.parquet +3 -0
  40. 2869_pegase/train-00039-of-00379.parquet +3 -0
  41. 2869_pegase/train-00040-of-00379.parquet +3 -0
  42. 2869_pegase/train-00041-of-00379.parquet +3 -0
  43. 2869_pegase/train-00042-of-00379.parquet +3 -0
  44. 2869_pegase/train-00043-of-00379.parquet +3 -0
  45. 2869_pegase/train-00044-of-00379.parquet +3 -0
  46. 2869_pegase/train-00045-of-00379.parquet +3 -0
  47. 2869_pegase/train-00046-of-00379.parquet +3 -0
  48. 2869_pegase/train-00047-of-00379.parquet +3 -0
  49. 2869_pegase/train-00048-of-00379.parquet +3 -0
  50. 2869_pegase/train-00049-of-00379.parquet +3 -0
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