import os
from dataframer import Dataframer

client = Dataframer(
    api_key=os.environ.get("DATAFRAMER_API_KEY"),  # This is the default and can be omitted
)
response = client.dataframer.seed_datasets.create_with_files(
    dataset_type="SINGLE_FILE",
    files=[b"Example data", b"Example data"],
    name="name",
)
print(response.id)

curl --request POST \
  --url https://df-api.dataframer.ai/api/dataframer/seed-datasets/create/ \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'name=<string>' \
  --form 'files=<string>' \
  --form 'description=<string>' \
  --form 'folder_names=<string>' \
  --form files.items='@example-file'

{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "name": "Customer Reviews 2025",
  "description": "Product reviews with files",
  "dataset_type": "SINGLE_FILE",
  "file_count": 1,
  "folder_count": 0,
  "created_at": "2025-01-15T10:30:00Z",
  "updated_at": "2025-01-15T10:30:00Z",
  "created_by_email": "[email protected]"
}