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from mmengine.config import read_base
with read_base():
from .groups.teval import teval_summary_groups
summarizer = dict(
dataset_abbrs=[
['teval', 'naive_average'],
['teval-instruct_v1', 'string_metric'], # 指令跟随能力-string格式
['teval-instruct_v1', 'json_metric'], # 指令跟随能力-json格式
['teval-plan_str_v1', 'f1_score'], # 规划能力-string格式
['teval-plan_json_v1', 'f1_score'], # 规划能力-json格式
['teval-reason_str_v1', 'thought'], # 推理能力-string格式
['teval-reason_retrieve_understand_json_v1', 'thought'], # 推理能力-json格式
['teval-retrieve_str_v1', 'name'], # 检索能力-string格式
['teval-reason_retrieve_understand_json_v1', 'name'], # 检索能力-json格式
['teval-understand_str_v1', 'args'], # 理解能力-string格式
['teval-reason_retrieve_understand_json_v1', 'args'], # 理解能力-json格式
['teval-review_str_v1', 'review_quality'], # 反思能力-string格式
['teval_zh', 'naive_average'],
['teval-instruct_v1_zh', 'string_metric'],
['teval-instruct_v1_zh', 'json_metric'],
['teval-plan_str_v1_zh', 'f1_score'],
['teval-plan_json_v1_zh', 'f1_score'],
['teval-reason_str_v1_zh', 'thought'],
['teval-reason_retrieve_understand_json_v1_zh', 'thought'],
['teval-retrieve_str_v1_zh', 'name'],
['teval-reason_retrieve_understand_json_v1_zh', 'name'],
['teval-understand_str_v1_zh', 'args'],
['teval-reason_retrieve_understand_json_v1_zh', 'args'],
['teval-review_str_v1_zh', 'review_quality'],
],
summary_groups=sum(
[v for k, v in locals().items() if k.endswith("_summary_groups")], [])
)
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