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62 lines
1.4 KiB
Python
62 lines
1.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from enum import Enum
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from typing import Any, Dict, Optional, Protocol
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from llama_models.llama3.api.datatypes import URL
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel
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@json_schema_type
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class TrainEvalDatasetColumnType(Enum):
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dialog = "dialog"
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text = "text"
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media = "media"
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number = "number"
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json = "json"
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@json_schema_type
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class TrainEvalDataset(BaseModel):
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"""Dataset to be used for training or evaluating language models."""
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# TODO(ashwin): figure out if we need to add an enum for a "dataset type"
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columns: Dict[str, TrainEvalDatasetColumnType]
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content_url: URL
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metadata: Optional[Dict[str, Any]] = None
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@json_schema_type
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class CreateDatasetRequest(BaseModel):
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"""Request to create a dataset."""
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uuid: str
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dataset: TrainEvalDataset
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class Datasets(Protocol):
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@webmethod(route="/datasets/create")
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def create_dataset(
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self,
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request: CreateDatasetRequest,
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) -> None: ...
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@webmethod(route="/datasets/get")
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def get_dataset(
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self,
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dataset_uuid: str,
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) -> TrainEvalDataset: ...
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@webmethod(route="/datasets/delete")
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def delete_dataset(
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self,
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dataset_uuid: str,
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) -> None: ...
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