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I am working on a project using Kili and exporting my datasets with different types of annotations.
I think it would be useful to add a new feature that allows me to split the datasets into train/validation/test sets directly during the export process.
Currently, I have to create another script after the Kili export, and I believe that every other data scientist has to do the same.
Is this feature being developed internally, and do you think it would be a valuable addition?
The text was updated successfully, but these errors were encountered:
If you want to create three separate exports for your three folds, you can try to use the asset_ids, external_ids or asset_filter_kwargs parameters of the kili.export_labels() method.
For example, you can get the asset ids using kili.assets(), then split those ids into three folds, and call the kili.export_labels() method thrice using the asset_ids parameter and the different folds.
You could also add metadata to your assets, as described in this tutorial.
I am working on a project using Kili and exporting my datasets with different types of annotations.
I think it would be useful to add a new feature that allows me to split the datasets into train/validation/test sets directly during the export process.
Currently, I have to create another script after the Kili export, and I believe that every other data scientist has to do the same.
Is this feature being developed internally, and do you think it would be a valuable addition?
The text was updated successfully, but these errors were encountered: