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[Evals API][11/n] huggingface dataset provider + mmlu scoring fn (#392)

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* wip

* scoring fn api

* eval api

* eval task

* evaluate api update

* pre commit

* unwrap context -> config

* config field doc

* typo

* naming fix

* separate benchmark / app eval

* api name

* rename

* wip tests

* wip

* datasetio test

* delete unused

* fixture

* scoring resolve

* fix scoring register

* scoring test pass

* score batch

* scoring fix

* fix eval

* test eval works

* huggingface provider

* datasetdef files

* mmlu scoring fn

* test wip

* remove type ignore

* api refactor

* add default task_eval_id for routing

* add eval_id for jobs

* remove type ignore

* huggingface provider

* wip huggingface register

* only keep 1 run_eval

* fix optional

* register task required

* register task required

* delete old tests

* fix

* mmlu loose

* refactor

* msg

* fix tests

* move benchmark task def to file

* msg

* gen openapi

* openapi gen

* move dataset to hf llamastack repo

* remove todo

* refactor

* add register model to unit test

* rename

* register to client

* delete preregistered dataset/eval task

* comments

* huggingface -> remote adapter

* openapi gen
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Xi Yan 2024-11-11 14:49:50 -05:00 • committed by GitHub
parent b78ee3a0a5
commit 2b7d70ba86
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docs/openapi_generator/generate.py
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@ -49,6 +49,7 @@ from llama_stack.apis.models import * # noqa: F403
from llama_stack.apis.memory_banks import * # noqa: F403
from llama_stack.apis.shields import * # noqa: F403
from llama_stack.apis.inspect import * # noqa: F403
from llama_stack.apis.eval_tasks import * # noqa: F403
class LlamaStack(
@ -63,6 +64,7 @@ class LlamaStack(
PostTraining,
Memory,
Eval,
EvalTasks,
Scoring,
ScoringFunctions,
DatasetIO,