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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
7823861
·
verified ·
1 Parent(s): 2a873c1

Convert dataset to Parquet (part 00005-of-00010) (#6)

Browse files

- Convert dataset to Parquet (part 00005-of-00010) (1df4c912ccf2a00cf7c8090b54ba642073d36853)

Files changed (50) hide show
  1. 2869_pegase/train-00250-of-00379.parquet +3 -0
  2. 2869_pegase/train-00251-of-00379.parquet +3 -0
  3. 2869_pegase/train-00252-of-00379.parquet +3 -0
  4. 2869_pegase/train-00253-of-00379.parquet +3 -0
  5. 2869_pegase/train-00254-of-00379.parquet +3 -0
  6. 2869_pegase/train-00255-of-00379.parquet +3 -0
  7. 2869_pegase/train-00256-of-00379.parquet +3 -0
  8. 2869_pegase/train-00257-of-00379.parquet +3 -0
  9. 2869_pegase/train-00258-of-00379.parquet +3 -0
  10. 2869_pegase/train-00259-of-00379.parquet +3 -0
  11. 2869_pegase/train-00260-of-00379.parquet +3 -0
  12. 2869_pegase/train-00261-of-00379.parquet +3 -0
  13. 2869_pegase/train-00262-of-00379.parquet +3 -0
  14. 2869_pegase/train-00263-of-00379.parquet +3 -0
  15. 2869_pegase/train-00264-of-00379.parquet +3 -0
  16. 2869_pegase/train-00265-of-00379.parquet +3 -0
  17. 2869_pegase/train-00266-of-00379.parquet +3 -0
  18. 2869_pegase/train-00267-of-00379.parquet +3 -0
  19. 2869_pegase/train-00268-of-00379.parquet +3 -0
  20. 2869_pegase/train-00269-of-00379.parquet +3 -0
  21. 2869_pegase/train-00270-of-00379.parquet +3 -0
  22. 2869_pegase/train-00271-of-00379.parquet +3 -0
  23. 2869_pegase/train-00272-of-00379.parquet +3 -0
  24. 2869_pegase/train-00273-of-00379.parquet +3 -0
  25. 2869_pegase/train-00274-of-00379.parquet +3 -0
  26. 2869_pegase/train-00275-of-00379.parquet +3 -0
  27. 2869_pegase/train-00276-of-00379.parquet +3 -0
  28. 2869_pegase/train-00277-of-00379.parquet +3 -0
  29. 2869_pegase/train-00278-of-00379.parquet +3 -0
  30. 2869_pegase/train-00279-of-00379.parquet +3 -0
  31. 2869_pegase/train-00280-of-00379.parquet +3 -0
  32. 2869_pegase/train-00281-of-00379.parquet +3 -0
  33. 2869_pegase/train-00282-of-00379.parquet +3 -0
  34. 2869_pegase/train-00283-of-00379.parquet +3 -0
  35. 2869_pegase/train-00284-of-00379.parquet +3 -0
  36. 2869_pegase/train-00285-of-00379.parquet +3 -0
  37. 2869_pegase/train-00286-of-00379.parquet +3 -0
  38. 2869_pegase/train-00287-of-00379.parquet +3 -0
  39. 2869_pegase/train-00288-of-00379.parquet +3 -0
  40. 2869_pegase/train-00289-of-00379.parquet +3 -0
  41. 2869_pegase/train-00290-of-00379.parquet +3 -0
  42. 2869_pegase/train-00291-of-00379.parquet +3 -0
  43. 2869_pegase/train-00292-of-00379.parquet +3 -0
  44. 2869_pegase/train-00293-of-00379.parquet +3 -0
  45. 2869_pegase/train-00294-of-00379.parquet +3 -0
  46. 2869_pegase/train-00295-of-00379.parquet +3 -0
  47. 2869_pegase/train-00296-of-00379.parquet +3 -0
  48. 2869_pegase/train-00297-of-00379.parquet +3 -0
  49. 2869_pegase/train-00298-of-00379.parquet +3 -0
  50. 2869_pegase/train-00299-of-00379.parquet +3 -0
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