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POST
/
v4
/
training-datasets
Python
import os
from scale_gp import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
training_dataset = client.training_datasets.create(
    account_id="account_id",
    file=b"raw file contents",
    name="name",
    schema_type="GENERATION",
)
print(training_dataset.id)
{
  "name": "<string>",
  "schema_type": "GENERATION",
  "data_source": "S3",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "created_by_user_id": "<string>",
  "created_by_identity_type": "user"
}

Authorizations

x-api-key
string
header
required

Body

multipart/form-data
account_id
string
required

The ID of the account that owns the given entity.

name
string
required

The name of the dataset

schema_type
enum<string>
required

The schema type of the dataset, currently only GENERATION is supported

Available options:
GENERATION,
RERANKING_QUESTIONS
file
file
required

The file to upload as the training dataset

Response

Successful Response

name
string
required

The name of the dataset

schema_type
enum<string>
required

The schema type of the dataset, currently only GENERATION is supported

Available options:
GENERATION,
RERANKING_QUESTIONS
data_source
enum<string>
required

The data source of the dataset, used to determine how to parse the location

Available options:
S3,
SharePoint,
SharePointPage,
LocalFile,
LocalChunks,
GoogleDrive,
AzureBlobStorage,
GoogleCloudStorage,
Confluence,
Slack,
Snowflake,
Databricks,
SQLDatabase,
MongoDB
id
string
required

The unique identifier of the entity.

created_at
string<date-time>
required

The date and time when the entity was created in ISO format.

account_id
string
required

The ID of the account that owns the given entity.

created_by_user_id
string
required

The user who originally created the entity.

created_by_identity_type
enum<string>
required

The type of identity that created the entity.

Available options:
user,
service_account