mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-07-29 15:23:51 +00:00
datasets api
This commit is contained in:
parent
287623b513
commit
e709101f5b
5 changed files with 77 additions and 63 deletions
|
@ -1,63 +0,0 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from enum import Enum
|
||||
from typing import Any, Dict, Optional, Protocol
|
||||
|
||||
from llama_models.llama3.api.datatypes import URL
|
||||
|
||||
from llama_models.schema_utils import json_schema_type, webmethod
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class TrainEvalDatasetColumnType(Enum):
|
||||
dialog = "dialog"
|
||||
text = "text"
|
||||
media = "media"
|
||||
number = "number"
|
||||
json = "json"
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class TrainEvalDataset(BaseModel):
|
||||
"""Dataset to be used for training or evaluating language models."""
|
||||
|
||||
# TODO(ashwin): figure out if we need to add an enum for a "dataset type"
|
||||
|
||||
columns: Dict[str, TrainEvalDatasetColumnType]
|
||||
content_url: URL
|
||||
metadata: Optional[Dict[str, Any]] = None
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class CreateDatasetRequest(BaseModel):
|
||||
"""Request to create a dataset."""
|
||||
|
||||
uuid: str
|
||||
dataset: TrainEvalDataset
|
||||
|
||||
|
||||
class Datasets(Protocol):
|
||||
@webmethod(route="/datasets/create")
|
||||
def create_dataset(
|
||||
self,
|
||||
uuid: str,
|
||||
dataset: TrainEvalDataset,
|
||||
) -> None: ...
|
||||
|
||||
@webmethod(route="/datasets/get")
|
||||
def get_dataset(
|
||||
self,
|
||||
dataset_uuid: str,
|
||||
) -> TrainEvalDataset: ...
|
||||
|
||||
@webmethod(route="/datasets/delete")
|
||||
def delete_dataset(
|
||||
self,
|
||||
dataset_uuid: str,
|
||||
) -> None: ...
|
7
llama_stack/apis/datasetio/__init__.py
Normal file
7
llama_stack/apis/datasetio/__init__.py
Normal file
|
@ -0,0 +1,7 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from .datasetio import * # noqa: F401 F403
|
5
llama_stack/apis/datasetio/datasetio.py
Normal file
5
llama_stack/apis/datasetio/datasetio.py
Normal file
|
@ -0,0 +1,5 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
65
llama_stack/apis/datasets/datasets.py
Normal file
65
llama_stack/apis/datasets/datasets.py
Normal file
|
@ -0,0 +1,65 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
from typing import Any, Dict, Optional, Protocol
|
||||
|
||||
from llama_models.llama3.api.datatypes import URL
|
||||
|
||||
from llama_models.schema_utils import json_schema_type, webmethod
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from llama_stack.apis.common.type_system import ParamType
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class DatasetSchema(BaseModel):
|
||||
columns: Dict[str, ParamType]
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class DatasetDef(BaseModel):
|
||||
identifier: str = Field(
|
||||
description="A unique name for the dataset",
|
||||
)
|
||||
schema: DatasetSchema = Field(
|
||||
description="The schema definition for this dataset",
|
||||
)
|
||||
url: URL
|
||||
metadata: Dict[str, Any] = Field(
|
||||
default_factory=dict,
|
||||
description="Any additional metadata for this dataset",
|
||||
)
|
||||
|
||||
|
||||
@json_schema_type
|
||||
class DatasetDefWithProvider(DatasetDef):
|
||||
provider_id: str = Field(
|
||||
description="ID of the provider which serves this dataset",
|
||||
)
|
||||
|
||||
|
||||
class Datasets(Protocol):
|
||||
@webmethod(route="/datasets/register", method="POST")
|
||||
async def register_dataset(
|
||||
self,
|
||||
dataset_def: DatasetDefWithProvider,
|
||||
) -> None: ...
|
||||
|
||||
@webmethod(route="/datasets/get", method="GET")
|
||||
async def get_dataset(
|
||||
self,
|
||||
dataset_identifier: str,
|
||||
) -> Optional[DatasetDefWithProvider]: ...
|
||||
|
||||
@webmethod(route="/datasets/delete")
|
||||
async def delete_dataset(
|
||||
self,
|
||||
dataset_identifier: str,
|
||||
) -> None: ...
|
||||
|
||||
@webmethod(route="/datasets/list", method="GET")
|
||||
async def list_datasets(self) -> List[DatasetDefWithProvider]: ...
|
Loading…
Add table
Add a link
Reference in a new issue