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breno-madruga
/
dib-covid-dataset
mirror of https://github.com/breno-madruga/dib-covid-dataset.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   preprocess:
    4. 

  4.     cmd: python scripts/preprocess.py
    5. 

  5.     deps:
    6. 

  6.     - path: data/raw/arxiv_raw.csv
    7. 

  7.       md5: 700b601ba33941b1c43b50da539211b5
    8. 

  8.       size: 7025160
    9. 

  9.     - path: data/raw/biorxiv_raw.csv
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  10.       md5: e08273e5c158ae8d4f780b6131d74ca7
    11. 

  11.       size: 53702451
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  12.     - path: data/raw/pubmed_raw.csv
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  13.       md5: 3adbc5b6eb565fa98a26d67dbee40a14
    14. 

  14.       size: 458192680
    15. 

  15.     - path: data/raw/scopus_raw.csv
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  16.       md5: b710ece2fff58f13adc49163380f5fc0
    17. 

  17.       size: 1314681357
    18. 

  18.     - path: scripts/preprocess.py
    19. 

  19.       md5: fea1318dfb56b1728390247a0060f26e
    20. 

  20.       size: 3125
    21. 

  21.     outs:
    22. 

  22.     - path: data/prepared/arxiv_covid_19.csv
    23. 

  23.       md5: 47b1dd8524502033efa05330bce3f5ce
    24. 

  24.       size: 7602253
    25. 

  25.     - path: data/prepared/biorxiv_covid_19.csv
    26. 

  26.       md5: 5b04f770213da5e6bb93651b91fea0a1
    27. 

  27.       size: 65911895
    28. 

  28.     - path: data/prepared/pubmed_covid_19.csv
    29. 

  29.       md5: 1539b4fe3320fa5aa3fbfc093d3b0423
    30. 

  30.       size: 441640004
    31. 

  31.     - path: data/prepared/scopus_covid_19.csv
    32. 

  32.       md5: 549a576ac8bb25b16f6c45bd60053249
    33. 

  33.       size: 1135142596
    34. 

  34.   merge:
    35. 

  35.     cmd: python scripts/merge_datasets.py
    36. 

  36.     deps:
    37. 

  37.     - path: data/prepared/arxiv_covid_19.csv
    38. 

  38.       md5: 47b1dd8524502033efa05330bce3f5ce
    39. 

  39.       size: 7602253
    40. 

  40.     - path: data/prepared/biorxiv_covid_19.csv
    41. 

  41.       md5: 5b04f770213da5e6bb93651b91fea0a1
    42. 

  42.       size: 65911895
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  43.     - path: data/prepared/pubmed_covid_19.csv
    44. 

  44.       md5: 1539b4fe3320fa5aa3fbfc093d3b0423
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  45.       size: 441640004
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  46.     - path: data/prepared/scopus_covid_19.csv
    47. 

  47.       md5: 549a576ac8bb25b16f6c45bd60053249
    48. 

  48.       size: 1135142596
    49. 

  49.     - path: scripts/merge_datasets.py
    50. 

  50.       md5: 3d650209936a6d96a2bc5f2f93501e12
    51. 

  51.       size: 16804
    52. 

  52.     outs:
    53. 

  53.     - path: data/raw/final_raw.csv
    54. 

  54.       md5: 60f26d5672a4cb811e0ef8f3f172890f
    55. 

  55.       size: 1362212602
    56. 

  56.   preprocess_final:
    57. 

  57.     cmd: python scripts/preprocess.py final
    58. 

  58.     deps:
    59. 

  59.     - path: data/raw/final_raw.csv
    60. 

  60.       md5: 60f26d5672a4cb811e0ef8f3f172890f
    61. 

  61.       size: 1362212602
    62. 

  62.     - path: scripts/preprocess.py
    63. 

  63.       md5: fea1318dfb56b1728390247a0060f26e
    64. 

  64.       size: 3125
    65. 

  65.     outs:
    66. 

  66.     - path: data/prepared/final_covid_19.csv
    67. 

  67.       md5: 66ce368389ba37f9f1f88568b8224ff9
    68. 

  68.       size: 1401204171
    69.
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Congratulations!

dib-covid-dataset is now integrated with your S3 compatible storage!

Delete Storage Key

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Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
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Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

dib-covid-dataset is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes