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  1. data/year=2017/month=01/train-00000-of-00016.parquet +2 -2
  2. data/year=2017/month=01/train-00001-of-00016.parquet +2 -2
  3. data/year=2017/month=01/train-00002-of-00016.parquet +2 -2
  4. data/year=2017/month=01/train-00003-of-00016.parquet +2 -2
  5. data/year=2017/month=01/train-00004-of-00016.parquet +2 -2
  6. data/year=2017/month=01/train-00005-of-00016.parquet +2 -2
  7. data/year=2017/month=01/train-00006-of-00016.parquet +2 -2
  8. data/year=2017/month=01/train-00007-of-00016.parquet +2 -2
  9. data/year=2017/month=01/train-00008-of-00016.parquet +2 -2
  10. data/year=2017/month=01/train-00009-of-00016.parquet +2 -2
  11. data/year=2017/month=01/train-00010-of-00016.parquet +2 -2
  12. data/year=2017/month=01/train-00011-of-00016.parquet +2 -2
  13. data/year=2017/month=01/train-00012-of-00016.parquet +2 -2
  14. data/year=2017/month=01/train-00013-of-00016.parquet +2 -2
  15. data/year=2017/month=01/train-00014-of-00016.parquet +2 -2
  16. data/year=2017/month=01/train-00015-of-00016.parquet +2 -2
  17. data/year=2017/month=05/train-00000-of-00046.parquet +2 -2
  18. data/year=2017/month=05/train-00001-of-00046.parquet +2 -2
  19. data/year=2017/month=05/train-00002-of-00046.parquet +2 -2
  20. data/year=2017/month=05/train-00003-of-00046.parquet +2 -2
  21. data/year=2017/month=05/train-00004-of-00046.parquet +2 -2
  22. data/year=2017/month=05/train-00005-of-00046.parquet +2 -2
  23. data/year=2017/month=05/train-00006-of-00046.parquet +2 -2
  24. data/year=2017/month=05/train-00007-of-00046.parquet +2 -2
  25. data/year=2017/month=05/train-00008-of-00046.parquet +2 -2
  26. data/year=2017/month=05/train-00009-of-00046.parquet +2 -2
  27. data/year=2017/month=05/train-00010-of-00046.parquet +2 -2
  28. data/year=2017/month=05/train-00011-of-00046.parquet +2 -2
  29. data/year=2017/month=05/train-00012-of-00046.parquet +2 -2
  30. data/year=2017/month=05/train-00013-of-00046.parquet +2 -2
  31. data/year=2017/month=05/train-00014-of-00046.parquet +2 -2
  32. data/year=2017/month=05/train-00015-of-00046.parquet +2 -2
  33. data/year=2017/month=05/train-00016-of-00046.parquet +2 -2
  34. data/year=2017/month=05/train-00017-of-00046.parquet +2 -2
  35. data/year=2017/month=05/train-00018-of-00046.parquet +2 -2
  36. data/year=2017/month=05/train-00019-of-00046.parquet +2 -2
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  39. data/year=2017/month=05/train-00022-of-00046.parquet +2 -2
  40. data/year=2017/month=05/train-00023-of-00046.parquet +2 -2
  41. data/year=2017/month=05/train-00024-of-00046.parquet +2 -2
  42. data/year=2017/month=05/train-00025-of-00046.parquet +2 -2
  43. data/year=2017/month=05/train-00026-of-00046.parquet +2 -2
  44. data/year=2017/month=05/train-00027-of-00046.parquet +2 -2
  45. data/year=2017/month=05/train-00028-of-00046.parquet +2 -2
  46. data/year=2017/month=05/train-00029-of-00046.parquet +2 -2
  47. data/year=2017/month=05/train-00030-of-00046.parquet +2 -2
  48. data/year=2017/month=05/train-00031-of-00046.parquet +2 -2
  49. data/year=2017/month=05/train-00032-of-00046.parquet +2 -2
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