OpenCompass/examples/eval_OlympiadBench.py
Shudong Liu 412199f802
[Feature] Support OlympiadBench Benchmark (#1841)
* Support OlympiadBench Benchmark

* Support OlympiadBench Benchmark

* Support OlympiadBench Benchmark

* update dataset path

* Update olmpiadBench

* Update olmpiadBench

* Update olmpiadBench

---------

Co-authored-by: liushz <qq1791167085@163.com>
2025-01-24 10:00:01 +08:00

37 lines
1.1 KiB
Python

from mmengine.config import read_base
with read_base():
from opencompass.configs.datasets.OlympiadBench.OlympiadBench_0shot_gen_be8b13 import olympiadbench_datasets
from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import models as lmdeploy_qwen2_5_7b_instruct_model
from opencompass.configs.summarizers.OlympiadBench import summarizer
datasets = sum([v for k, v in locals().items() if k.endswith('_datasets') or k == 'datasets'], [])
models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
from opencompass.runners import LocalRunner
from opencompass.partitioners import NaivePartitioner, NumWorkerPartitioner
from opencompass.tasks import OpenICLInferTask, OpenICLEvalTask
infer = dict(
partitioner=dict(type=NumWorkerPartitioner, num_worker=8),
runner=dict(
type=LocalRunner,
max_num_workers=8,
task=dict(type=OpenICLInferTask)
),
)
eval = dict(
partitioner=dict(type=NaivePartitioner, n=10),
runner=dict(
type=LocalRunner,
max_num_workers=256,
task=dict(type=OpenICLEvalTask)
),
)
work_dir = 'outputs/debug/OlympiadBench'