Create a dataset and populate it with its initial items in a single call.
Use this when the dataset does not exist yet: it creates the dataset and seeds it with the
items you provide. To add more items to a dataset that already exists, use
POST /v5/dataset-items/batch instead. A name is required, and the request must include at
least one item in data; the optional files field associates files with the created items.
The provided items are inserted as dataset items as a side effect of creation, and any tags
are attached to the dataset. The returned dataset is at version 1.
Create a dataset
import os
from scale_gp_beta import SGPClient
client = SGPClient(
api_key=os.environ.get("SGP_API_KEY"), # This is the default and can be omitted
)
dataset = client.datasets.create(
data=[{
"foo": "bar"
}],
name="name",
)
print(dataset.id){
"id": "id",
"created_at": "2019-12-27T18:11:19.117Z",
"created_by": {
"id": "id",
"type": "user",
"object": "identity"
},
"current_version_num": 0,
"name": "name",
"tags": [
"string"
],
"archived_at": "2019-12-27T18:11:19.117Z",
"description": "description",
"object": "dataset"
}Returns Examples
{
"id": "id",
"created_at": "2019-12-27T18:11:19.117Z",
"created_by": {
"id": "id",
"type": "user",
"object": "identity"
},
"current_version_num": 0,
"name": "name",
"tags": [
"string"
],
"archived_at": "2019-12-27T18:11:19.117Z",
"description": "description",
"object": "dataset"
}