datasets api

This commit is contained in:
Xi Yan 2024-10-22 08:24:14 -07:00
parent 287623b513
commit e709101f5b
5 changed files with 77 additions and 63 deletions

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# 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: ...

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# 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

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# 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.

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# 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]: ...