Upload a dataset file to Fount to use for model training. This is the first step in the training pipeline, you need a registered dataset before you can start a training job.

Send your file as multipart/form-data along with a name query parameter to identify the dataset in your project. A successful upload returns a dataset object containing an ID, which you pass to the Train endpoint to start training.

Supported formats: CSV, TSV, and Excel (.xlsx). Make sure your file includes a header row, Fount uses column names to identify the date column, target column, and categorical columns during training.

Authentication: Include your API key in the X-API-KEY request header. Generate your key from the API Keys section inside your project on the Fount Developer Portal.

Note: One file per request. Make separate requests to upload multiple datasets.