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get-dataset-openorca

Automatically generated README for this automation recipe: get-dataset-openorca

Category: AI/ML datasets

License: Apache 2.0

  • CM meta description for this script: _cm.json
  • Output cached? True

Reuse this script in your project

Install MLCommons CM automation meta-framework

Pull CM repository with this automation recipe (CM script)

cm pull repo mlcommons@cm4mlops

cmr "get dataset openorca language-processing original" --help

Run this script

Run this script via CLI
cm run script --tags=get,dataset,openorca,language-processing,original[,variations]
Run this script via CLI (alternative)
cmr "get dataset openorca language-processing original [variations]"
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'get,dataset,openorca,language-processing,original'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "get dataset openorca language-processing original[variations]"

Variations

  • Group "dataset-type"

    Click here to expand this section.

    • _calibration
      • ENV variables:
        • CM_DATASET_CALIBRATION: yes
    • _validation (default)
      • ENV variables:
        • CM_DATASET_CALIBRATION: no

  • Group "size"

    Click here to expand this section.

    • _500
      • ENV variables:
        • CM_DATASET_SIZE: 500
    • _60 (default)
      • ENV variables:
        • CM_DATASET_SIZE: 60
    • _full
      • ENV variables:
        • CM_DATASET_SIZE: 24576
    • _size.#
      • ENV variables:
        • CM_DATASET_SIZE: #
Default variations

_60,_validation

Default environment

These keys can be updated via --env.KEY=VALUE or env dictionary in @input.json or using script flags.

  • CM_DATASET_CALIBRATION: no

Script output

cmr "get dataset openorca language-processing original [variations]"  -j