Complete a dataset upload and trigger processing

datasets.upload.complete() -> UploadCompleteResponse

POST/api/v1/datasets/upload/complete

ParametersExpand Collapse

s3_key: str

S3 object key returned in the pre-signed URL response from /upload/initiate

name: str

Human-readable name for the dataset

file_format: Literal["csv", "json", "jsonl", 8 more]

Format of the uploaded file

One of the following:

"csv"

"json"

"jsonl"

"parquet"

"pdf"

"docx"

"pptx"

"xlsx"

"html"

"zip"

"txt"

file_size_bytes: float

Size of the uploaded file in bytes

minimum0

maximum2147483648

defer_adaption: Optional[bool]

When true, the upload is stored but Adaptive Data does not start. The dataset stays in awaiting_preprocessing until POST /datasets/:id/start-adaption.

ReturnsExpand Collapse

class UploadCompleteResponse: …

dataset_id: str

ID of the newly created dataset

Complete a dataset upload and trigger processing

import os
from adaption import Adaption

client = Adaption(
    api_key=os.environ.get("ADAPTION_API_KEY"),  # This is the default and can be omitted
)
response = client.datasets.upload.complete(
    s3_key="uploads/550e8400-e29b-41d4-a716-446655440000/my-training-data.csv",
    name="my-training-data",
    file_format="csv",
    file_size_bytes=1048576,
)
print(response.dataset_id)

{
  "dataset_id": "550e8400-e29b-41d4-a716-446655440000"
}

Returns Examples

{
  "dataset_id": "550e8400-e29b-41d4-a716-446655440000"
}