Build Smarter Agents with Nemotron 3 Nano Omni on FriendliAI — Explore models
curl --request POST \
--url https://api.friendli.ai/beta/dataset \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"projectId": "<string>",
"modality": {
"input_modals": [],
"output_modals": []
}
}
'{
"id": 123,
"name": "dataset-name",
"created_at": 1705244400,
"updated_at": 1765724399
}Create a new dataset in Friendli Suite via the API. Initialize a dataset resource to organize training and evaluation data with splits and versions.
curl --request POST \
--url https://api.friendli.ai/beta/dataset \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"name": "<string>",
"projectId": "<string>",
"modality": {
"input_modals": [],
"output_modals": []
}
}
'{
"id": 123,
"name": "dataset-name",
"created_at": 1705244400,
"updated_at": 1765724399
}Create a new 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.Documentation Index
Fetch the complete documentation index at: https://friendli.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
ID of team to run requests as (optional parameter).
Create dataset request.
Name of the dataset.
ID of the project.
OK
Dataset info.
ID of the dataset.
Name of the dataset.
Unix timestamp (in seconds) of when the dataset was created.
Unix timestamp (in seconds) of when the dataset was last modified.