Create a Dataset

The name of the uploaded dataset.

The dataset type, which is used to validate the data. Valid types are embed-input, reranker-finetune-input, single-label-classification-finetune-input, chat-finetune-input, and multi-label-classification-finetune-input.

Indicates if the original file should be stored.

Indicates whether rows with malformed input should be dropped (instead of failing the validation check). Dropped rows will be returned in the warnings field.

List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the schema for the corresponding Dataset type. For example, datasets of type embed-input will drop all fields other than the required text field. If any of the fields in keep_fields are missing from the uploaded file, Dataset validation will fail.

List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the schema for the corresponding Dataset type. For example, Datasets of type embed-input will drop all fields other than the required text field. If any of the fields in optional_fields are missing from the uploaded file, Dataset validation will pass.

Raw .txt uploads will be split into entries using the text_separator value.

The delimiter used for .csv uploads.