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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
c229368
·
verified ·
1 Parent(s): 1b3bb1e

Convert dataset to Parquet (part 00007-of-00010) (#8)

Browse files

- Convert dataset to Parquet (part 00007-of-00010) (6c5c4ebef1b49a0e7743f001285b7097696954d1)

Files changed (50) hide show
  1. 2869_pegase/test-00000-of-00095.parquet +3 -0
  2. 2869_pegase/test-00001-of-00095.parquet +3 -0
  3. 2869_pegase/test-00002-of-00095.parquet +3 -0
  4. 2869_pegase/test-00003-of-00095.parquet +3 -0
  5. 2869_pegase/test-00004-of-00095.parquet +3 -0
  6. 2869_pegase/test-00005-of-00095.parquet +3 -0
  7. 2869_pegase/test-00006-of-00095.parquet +3 -0
  8. 2869_pegase/test-00007-of-00095.parquet +3 -0
  9. 2869_pegase/test-00008-of-00095.parquet +3 -0
  10. 2869_pegase/test-00009-of-00095.parquet +3 -0
  11. 2869_pegase/test-00010-of-00095.parquet +3 -0
  12. 2869_pegase/test-00011-of-00095.parquet +3 -0
  13. 2869_pegase/test-00012-of-00095.parquet +3 -0
  14. 2869_pegase/test-00013-of-00095.parquet +3 -0
  15. 2869_pegase/test-00014-of-00095.parquet +3 -0
  16. 2869_pegase/test-00015-of-00095.parquet +3 -0
  17. 2869_pegase/test-00016-of-00095.parquet +3 -0
  18. 2869_pegase/test-00017-of-00095.parquet +3 -0
  19. 2869_pegase/test-00018-of-00095.parquet +3 -0
  20. 2869_pegase/test-00019-of-00095.parquet +3 -0
  21. 2869_pegase/test-00020-of-00095.parquet +3 -0
  22. 2869_pegase/train-00350-of-00379.parquet +3 -0
  23. 2869_pegase/train-00351-of-00379.parquet +3 -0
  24. 2869_pegase/train-00352-of-00379.parquet +3 -0
  25. 2869_pegase/train-00353-of-00379.parquet +3 -0
  26. 2869_pegase/train-00354-of-00379.parquet +3 -0
  27. 2869_pegase/train-00355-of-00379.parquet +3 -0
  28. 2869_pegase/train-00356-of-00379.parquet +3 -0
  29. 2869_pegase/train-00357-of-00379.parquet +3 -0
  30. 2869_pegase/train-00358-of-00379.parquet +3 -0
  31. 2869_pegase/train-00359-of-00379.parquet +3 -0
  32. 2869_pegase/train-00360-of-00379.parquet +3 -0
  33. 2869_pegase/train-00361-of-00379.parquet +3 -0
  34. 2869_pegase/train-00362-of-00379.parquet +3 -0
  35. 2869_pegase/train-00363-of-00379.parquet +3 -0
  36. 2869_pegase/train-00364-of-00379.parquet +3 -0
  37. 2869_pegase/train-00365-of-00379.parquet +3 -0
  38. 2869_pegase/train-00366-of-00379.parquet +3 -0
  39. 2869_pegase/train-00367-of-00379.parquet +3 -0
  40. 2869_pegase/train-00368-of-00379.parquet +3 -0
  41. 2869_pegase/train-00369-of-00379.parquet +3 -0
  42. 2869_pegase/train-00370-of-00379.parquet +3 -0
  43. 2869_pegase/train-00371-of-00379.parquet +3 -0
  44. 2869_pegase/train-00372-of-00379.parquet +3 -0
  45. 2869_pegase/train-00373-of-00379.parquet +3 -0
  46. 2869_pegase/train-00374-of-00379.parquet +3 -0
  47. 2869_pegase/train-00375-of-00379.parquet +3 -0
  48. 2869_pegase/train-00376-of-00379.parquet +3 -0
  49. 2869_pegase/train-00377-of-00379.parquet +3 -0
  50. 2869_pegase/train-00378-of-00379.parquet +3 -0
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