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POST
/
api
/
dataframer
/
seed-datasets
/
create-from-zip
Python
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_from_zip(
    name="name",
    zip_file=b"raw file contents",
)
print(response.id)
{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "name": "Support Ticket Conversations",
  "description": "Customer support chat logs organized by ticket",
  "dataset_type": "MULTI_FOLDER",
  "file_count": 10,
  "folder_count": 2,
  "created_at": "2025-01-15T10:30:00Z",
  "updated_at": "2025-01-15T10:30:00Z",
  "created_by_email": "[email protected]",
  "short_sample_compatibility": {
    "is_short_samples_compatible": false,
    "is_long_samples_compatible": true,
    "reason": null
  }
}

Authorizations

Authorization
string
header
required

API Key authentication. Format: "Bearer YOUR_API_KEY"

Body

multipart/form-data
name
string
required

Dataset name (unique within company)

zip_file
file
required

ZIP file containing dataset files

description
string

Optional dataset description

Response

Seed dataset created successfully

id
string<uuid>

Unique identifier for the dataset

name
string

Dataset name

description
string | null

Optional description of the dataset contents or purpose

dataset_type
enum<string>

Type of dataset structure. SINGLE_FILE: one CSV/JSON/JSONL file with tabular data. MULTI_FILE: multiple individual text files. MULTI_FOLDER: files organized into folders where each folder represents one sample.

Available options:
SINGLE_FILE,
MULTI_FILE,
MULTI_FOLDER
created_at
string<date-time>

Timestamp when the dataset was created

updated_at
string<date-time>

Timestamp when the dataset was last modified

created_by_email
string

Email address of the user who created the dataset

files
object[]

List of all files in the dataset

folder_count
integer

Total number of folders in the dataset

file_count
integer

Total number of files in the dataset

short_sample_compatibility
object

Information about which generation modes are compatible with this dataset