Add samples

Add new data samples to an existing Friendli dataset split via the API. Append training or evaluation data entries to your dataset programmatically.

POST /beta/dataset/{dataset_id}/split/{split_id}/sample

Add samples

cURL

curl --request POST \
  --url https://api.friendli.ai/beta/dataset/{dataset_id}/split/{split_id}/sample \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '[
  "<string>"
]'

200

{
  "samples": [
    [
      "<string>",
      "<string>"
    ]
  ]
}

Add samples to dataset.

To request successfully, it is required to enter a Personal API Key (e.g. flp_XXX) in the Bearer Token field. Refer to the authentication section on our introduction page to learn more and visit here to generate your API Key.

This API is currently in Beta. While we strive to provide a stable and reliable experience, this feature is still under active development. As a result, you may encounter unexpected behavior or limitations. We encourage you to provide feedback to help us improve the feature before its official release.

• Feature request & feedback
• Contact support

Authorizations

Authorization · string · header · required

When using Friendli Suite API for inference requests, you need to provide a Friendli Token for authentication and authorization purposes.

For more detailed information, please refer here.

Headers

X-Friendli-Team · string | null

ID of team to run requests as (optional parameter).

Path Parameters

dataset_id · string · required

ID of the dataset.

split_id · string · required

ID of the split.

Body

application/json

Response

200

application/json

OK

Add samples response.

samples · tuple[] · required

List of sample IDs that were added to the dataset.

Hide child attributes

samples. [0] · string

samples. [1] · string