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  1. dataset_5/train_2864_a_2.npy +3 -0
  2. dataset_5/train_2869_a_2.npy +3 -0
  3. dataset_5/train_2886_a_2.npy +3 -0
  4. dataset_5/train_2909_a_2.npy +3 -0
  5. dataset_5/train_2928_a_2.npy +3 -0
  6. dataset_5/train_2941_a_2.npy +3 -0
  7. dataset_5/train_29_a_2.npy +3 -0
  8. dataset_5/train_3000_a_2.npy +3 -0
  9. dataset_5/train_3092_a_2.npy +3 -0
  10. dataset_5/train_3166_a_2.npy +3 -0
  11. dataset_5/train_3175_a_2.npy +3 -0
  12. dataset_5/train_325_a_2.npy +3 -0
  13. dataset_5/train_3274_a_2.npy +3 -0
  14. dataset_5/train_3311_a_2.npy +3 -0
  15. dataset_5/train_3339_a_2.npy +3 -0
  16. dataset_5/train_335_a_2.npy +3 -0
  17. dataset_5/train_3444_a_2.npy +3 -0
  18. dataset_5/train_3448_a_2.npy +3 -0
  19. dataset_5/train_3482_a_2.npy +3 -0
  20. dataset_5/train_3594_a_2.npy +3 -0
  21. dataset_5/train_3596_a_2.npy +3 -0
  22. dataset_5/train_3599_a_2.npy +3 -0
  23. dataset_5/train_3650_a_2.npy +3 -0
  24. dataset_5/train_3659_a_2.npy +3 -0
  25. dataset_5/train_3661_a_2.npy +3 -0
  26. dataset_5/train_3665_a_2.npy +3 -0
  27. dataset_5/train_3672_a_2.npy +3 -0
  28. dataset_5/train_372_a_2.npy +3 -0
  29. dataset_5/train_3742_a_2.npy +3 -0
  30. dataset_5/train_3744_a_2.npy +3 -0
  31. dataset_5/train_3783_a_2.npy +3 -0
  32. dataset_5/train_3793_a_2.npy +3 -0
  33. dataset_5/train_3837_a_2.npy +3 -0
  34. dataset_5/train_3865_a_2.npy +3 -0
  35. dataset_5/train_3881_a_2.npy +3 -0
  36. dataset_5/train_394_a_2.npy +3 -0
  37. dataset_5/train_3972_a_2.npy +3 -0
  38. dataset_5/train_3982_a_2.npy +3 -0
  39. dataset_5/train_3985_a_2.npy +3 -0
  40. dataset_5/train_3994_a_2.npy +3 -0
  41. dataset_5/train_401_a_2.npy +3 -0
  42. dataset_5/train_4027_a_2.npy +3 -0
  43. dataset_5/train_4051_a_2.npy +3 -0
  44. dataset_5/train_4100_b_2.npy +3 -0
  45. dataset_5/train_4112_a_2.npy +3 -0
  46. dataset_5/train_4116_a_2.npy +3 -0
  47. dataset_5/train_4121_a_2.npy +3 -0
  48. dataset_5/train_4137_a_2.npy +3 -0
  49. dataset_5/train_4145_b_2.npy +3 -0
  50. dataset_5/train_4154_a_2.npy +3 -0
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