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PythonlangsmithclientClientcreate_dataset
Method●Since v0.0

create_dataset

Copy
create_dataset(
  self,
  dataset_name: str,
  *,
  description: Optional[str] 
View source on GitHub
=
None
,
data_type
:
ls_schemas
.
DataType
=
ls_schemas
.
DataType
.
kv
,
inputs_schema
:
Optional
[
dict
[
str
,
Any
]
]
=
None
,
outputs_schema
:
Optional
[
dict
[
str
,
Any
]
]
=
None
,
transformations
:
Optional
[
list
[
ls_schemas
.
DatasetTransformation
]
]
=
None
,
metadata
:
Optional
[
dict
]
=
None
)
->
ls_schemas
.
Dataset

Parameters

NameTypeDescription
dataset_name*str

The name of the dataset.

descriptionOptional[str]
Default:None

The description of the dataset.

data_typeDataType, default=DataType.kv
Default:ls_schemas.DataType.kv
inputs_schemaOptional[Dict[str, Any]]
Default:None
outputs_schemaOptional[Dict[str, Any]]
Default:None
transformationsOptional[List[DatasetTransformation]]
Default:None
metadataOptional[dict]
Default:None

Create a dataset in the LangSmith API.

The data type of the dataset.

The schema definition for the inputs of the dataset.

The schema definition for the outputs of the dataset.

A list of transformations to apply to the dataset.

Additional metadata to associate with the dataset.