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parquet-converter omkartekawade commited on
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Update parquet files

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Co-authored-by: omkartekawade <omkartekawade@users.noreply.huggingface.co>

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  1. .gitattributes +60 -0
  2. absent_binary_univariate/train/0000.parquet +3 -0
  3. advertising_sales_covariate/train/0000.parquet +3 -0
  4. baggage_100_multivariate/train/0000.parquet +3 -0
  5. baggage_months_multivariate/train/0000.parquet +3 -0
  6. baggage_sales_multivariate/train/0000.parquet +3 -0
  7. batadal_software_multivariate/train/0000.parquet +3 -0
  8. building_manufacturing_covariate/train/0000.parquet +3 -0
  9. california_energy_covariate/train/0000.parquet +3 -0
  10. california_hourly_covariate/train/0000.parquet +3 -0
  11. chickenpox_dense_univariate/train/0000.parquet +3 -0
  12. coinbase_days_univariate/train/0000.parquet +3 -0
  13. coinbase_economics_univariate/train/0000.parquet +3 -0
  14. currency_dense_covariate/train/0000.parquet +3 -0
  15. currency_monthly_covariate/train/0000.parquet +3 -0
  16. cybersecurity_count_covariate/train/0000.parquet +3 -0
  17. cybersecurity_software_covariate/train/0000.parquet +3 -0
  18. delhi_climate_univariate/train/0000.parquet +3 -0
  19. electricity_energy_univariate/train/0000.parquet +3 -0
  20. employees_healthcare_univariate/train/0000.parquet +3 -0
  21. federal_funds_weeks_univariate/train/0000.parquet +3 -0
  22. gdp_noisy_covariate/train/0000.parquet +3 -0
  23. gdp_years_covariate/train/0000.parquet +3 -0
  24. german_houses_sales_univariate/train/0000.parquet +3 -0
  25. german_quarterly_univariate/train/0000.parquet +3 -0
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  27. gold_india_dense_multivariate/train/0000.parquet +3 -0
  28. gold_india_economics_multivariate/train/0000.parquet +3 -0
  29. gold_india_real_multivariate/train/0000.parquet +3 -0
  30. india_gold_days_multivariate/train/0000.parquet +3 -0
  31. inventories_manufacturing_univariate/train/0000.parquet +3 -0
  32. inventories_months_univariate/train/0000.parquet +3 -0
  33. lt_stock_longest_multivariate/train/0000.parquet +3 -0
  34. lt_stock_minutes_multivariate/train/0000.parquet +3 -0
  35. madrid_count_multivariate/train/0000.parquet +3 -0
  36. madrid_cyclical_multivariate/train/0000.parquet +3 -0
  37. madrid_hours_multivariate/train/0000.parquet +3 -0
  38. madrid_noisy_multivariate/train/0000.parquet +3 -0
  39. madrid_transport_multivariate/train/0000.parquet +3 -0
  40. madrid_transport_univariate/train/0000.parquet +3 -0
  41. mobility_transport_covariate/train/0000.parquet +3 -0
  42. nifty_longest_covariate/train/0000.parquet +3 -0
  43. nifty_minutes_covariate/train/0000.parquet +3 -0
  44. nifty_nonstationary_covariate/train/0000.parquet +3 -0
  45. nyc_covid_healthcare_covariate/train/0000.parquet +3 -0
  46. nyc_covid_healthcare_multivariate/train/0000.parquet +3 -0
  47. occupancy_count_univariate/train/0000.parquet +3 -0
  48. patient_sparse_univariate/train/0000.parquet +3 -0
  49. power_consumption_years_univariate/train/0000.parquet +3 -0
  50. retail_categorical_univariate/train/0000.parquet +3 -0
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