Download your data

Get your labeled AI data

๐Ÿ“˜

Also available on ๐Ÿ“บ YouTube

Click here to see a video explanation of how you export your data and use it in a Jupyter notebook.

You can download your records on both the settings and databrowser page by clicking on "Download records". This will create a records-oriented JSON file.

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Let's take a look at an export to better understand the schema:

[
{
        "headline": "$200 Laptops Break a Business Model",
        "running_id": "1479",
        "__clickbait__MANUAL": null,
        "__clickbait__WEAK_SUPERVISION": "yes",
        "__clickbait__WEAK_SUPERVISION__confidence": "0.4685",
        "headline__entities__MANUAL": [
            "O",
            "O",
            "O",
            "O",
            "O",
            "O",
            "O"
        ],
        "headline__entities__WEAK_SUPERVISION": [
            "MONEY",
            "MONEY",
            "O",
            "O",
            "O",
            "O",
            "O"
        ],
        "headline__entities__WEAK_SUPERVISION__confidence": [
            0.83,
            0.83,
            0.0,
            0.0,
            0.0,
            0.0,
            0.0
        ]
    }
]

headline and running_id were given in the initial data import. Labeling tasks are indicated with a double underscore __, and for each labeling task you have a triplet:

  • MANUAL: the manually set labeled for this task.
  • WEAK_SUPERVISION: the weakly supervised labeled for this task.
  • WEAK_SUPERVISION_CONFIDENCE: the confidence for the weakly supervised label.

Extraction tasks contain the labels per token. The attributes for each task are given at the beginning - if the attribute is full record, the triplets begin with a double underscore __.


Whatโ€™s Next

That's it, you've created and downloaded your first weakly supervised records! Good job ๐Ÿ™Œ ๐ŸŽ‰

You can now look into our Python SDK to see how to integrate your project with other tools or look into our other libraries and tools like automl-docker. Also, feel free to join our community spaces.

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