Create a dataset from file upload, HuggingFace, or Kaggle
datasets.create(DatasetCreateParams**kwargs) -> DatasetCreateResponse
POST/api/v1/datasets
Unified ingest endpoint. Discriminated by source.type: "file" returns upload instructions for a presigned S3 PUT, "huggingface" and "kaggle" start an async import.
Create a dataset from file upload, HuggingFace, or Kaggle
import os
from adaption import Adaption
client = Adaption(
api_key=os.environ.get("ADAPTION_API_KEY"), # This is the default and can be omitted
)
dataset = client.datasets.create(
source={
"file_format": "csv",
"name": "my-training-data",
"type": "file",
},
)
print(dataset.dataset_id){
"dataset_id": "dataset_id",
"status": "status",
"upload_instructions": {
"method": "PUT",
"s3_key": "s3_key",
"url": "https://s3.amazonaws.com/bucket/key?X-Amz-Signature=..."
}
}Returns Examples
{
"dataset_id": "dataset_id",
"status": "status",
"upload_instructions": {
"method": "PUT",
"s3_key": "s3_key",
"url": "https://s3.amazonaws.com/bucket/key?X-Amz-Signature=..."
}
}