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
)
seed_datasets = client.dataframer.seed_datasets.list()
print(seed_datasets)curl https://df-api.dataframer.ai/api/dataframer/seed-datasets/ \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"[
{
"id": "550e8400-e29b-41d4-a716-446655440000",
"name": "Customer Reviews Dataset",
"description": "Product reviews for analysis",
"dataset_type": "SINGLE_FILE",
"created_at": "2025-01-15T10:30:00Z",
"created_by_email": "sarah.chen@acme.com",
"folder_count": 0,
"file_count": 1
}
]Seed Datasets
List seed datasets
Get all seed datasets for the user’s company
GET
/
api
/
dataframer
/
seed-datasets
/
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
)
seed_datasets = client.dataframer.seed_datasets.list()
print(seed_datasets)curl https://df-api.dataframer.ai/api/dataframer/seed-datasets/ \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"[
{
"id": "550e8400-e29b-41d4-a716-446655440000",
"name": "Customer Reviews Dataset",
"description": "Product reviews for analysis",
"dataset_type": "SINGLE_FILE",
"created_at": "2025-01-15T10:30:00Z",
"created_by_email": "sarah.chen@acme.com",
"folder_count": 0,
"file_count": 1
}
]Authorizations
API Key authentication. Format: "Bearer YOUR_API_KEY"
Response
List of datasets
Unique identifier for the dataset
Dataset name
Optional description of the dataset contents or purpose
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 Timestamp when the dataset was created
Email address of the user who created the dataset
Total number of folders in the dataset
Total number of files in the dataset