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fix: fix open-benchmark template (#1695)
## What does this PR do? open-benchmark templated is broken after the datasets api refactor due to 2 reasons - provider_id and provider_resource_id are no longer needed - the type in run.yaml will be resolved as dict this PR is to fix the above 2 issues ## Test spin up a llama stack server successfully with llama stack run `llama_stack/templates/open-benchmark/run.yaml`
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parent
6949bd1999
commit
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4 changed files with 8 additions and 12 deletions
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@ -121,8 +121,6 @@ class Dataset(CommonDatasetFields, Resource):
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class DatasetInput(CommonDatasetFields, BaseModel):
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dataset_id: str
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provider_id: Optional[str] = None
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provider_dataset_id: Optional[str] = None
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class ListDatasetsResponse(BaseModel):
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@ -20,6 +20,8 @@ from llama_stack.apis.datasets import (
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DatasetType,
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DataSource,
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ListDatasetsResponse,
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RowsDataSource,
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URIDataSource,
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)
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from llama_stack.apis.models import ListModelsResponse, Model, Models, ModelType
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from llama_stack.apis.resource import ResourceType
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@ -377,6 +379,12 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
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metadata: Optional[Dict[str, Any]] = None,
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dataset_id: Optional[str] = None,
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) -> Dataset:
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if isinstance(source, dict):
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if source["type"] == "uri":
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source = URIDataSource.parse_obj(source)
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elif source["type"] == "rows":
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source = RowsDataSource.parse_obj(source)
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if not dataset_id:
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dataset_id = f"dataset-{str(uuid.uuid4())}"
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@ -170,7 +170,6 @@ def get_distribution_template() -> DistributionTemplate:
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default_datasets = [
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DatasetInput(
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dataset_id="simpleqa",
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provider_id="huggingface",
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purpose=DatasetPurpose.eval_messages_answer,
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source=URIDataSource(
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uri="huggingface://datasets/llamastack/simpleqa?split=train",
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@ -178,7 +177,6 @@ def get_distribution_template() -> DistributionTemplate:
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),
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DatasetInput(
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dataset_id="mmlu_cot",
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provider_id="huggingface",
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purpose=DatasetPurpose.eval_messages_answer,
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source=URIDataSource(
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uri="huggingface://datasets/llamastack/mmlu_cot?split=test&name=all",
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@ -186,7 +184,6 @@ def get_distribution_template() -> DistributionTemplate:
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),
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DatasetInput(
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dataset_id="gpqa_cot",
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provider_id="huggingface",
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purpose=DatasetPurpose.eval_messages_answer,
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source=URIDataSource(
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uri="huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main",
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@ -194,7 +191,6 @@ def get_distribution_template() -> DistributionTemplate:
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),
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DatasetInput(
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dataset_id="math_500",
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provider_id="huggingface",
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purpose=DatasetPurpose.eval_messages_answer,
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source=URIDataSource(
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uri="huggingface://datasets/llamastack/math_500?split=test",
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@ -202,7 +198,6 @@ def get_distribution_template() -> DistributionTemplate:
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),
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DatasetInput(
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dataset_id="bfcl",
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provider_id="huggingface",
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purpose=DatasetPurpose.eval_messages_answer,
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source=URIDataSource(
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uri="huggingface://datasets/llamastack/bfcl_v3?split=train",
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@ -164,35 +164,30 @@ datasets:
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uri: huggingface://datasets/llamastack/simpleqa?split=train
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metadata: {}
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dataset_id: simpleqa
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provider_id: huggingface
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- purpose: eval/messages-answer
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source:
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type: uri
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uri: huggingface://datasets/llamastack/mmlu_cot?split=test&name=all
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metadata: {}
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dataset_id: mmlu_cot
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provider_id: huggingface
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- purpose: eval/messages-answer
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source:
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type: uri
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uri: huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main
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metadata: {}
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dataset_id: gpqa_cot
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provider_id: huggingface
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- purpose: eval/messages-answer
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source:
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type: uri
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uri: huggingface://datasets/llamastack/math_500?split=test
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metadata: {}
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dataset_id: math_500
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provider_id: huggingface
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- purpose: eval/messages-answer
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source:
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type: uri
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uri: huggingface://datasets/llamastack/bfcl_v3?split=train
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metadata: {}
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dataset_id: bfcl
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provider_id: huggingface
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scoring_fns: []
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benchmarks:
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- dataset_id: simpleqa
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