OpenCompass/opencompass/configs/datasets/iwslt2017/iwslt2017_gen_d0ebd1.py
Songyang Zhang 46cc7894e1
[Feature] Support import configs/models/summarizers from whl (#1376)
* [Feature] Support import configs/models/summarizers from whl

* Update LCBench configs

* Update

* Update

* Update

* Update

* update

* Update

* Update

* Update

* Update

* Update
2024-08-01 00:42:48 +08:00

40 lines
1.3 KiB
Python

from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import BM25Retriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import BleuEvaluator
from opencompass.datasets import IWSLT2017Dataset
from opencompass.utils.text_postprocessors import general_cn_postprocess
iwslt2017_reader_cfg = dict(
input_columns='en', output_column='de', train_split='validation')
iwslt2017_infer_cfg = dict(
ice_template=dict(
type=PromptTemplate,
template=dict(
begin='</E>',
round=[
dict(role='HUMAN', prompt='Please translate the following English statements to German:\n{en}'),
dict(role='BOT', prompt='{de}'),
]
),
ice_token='</E>'),
retriever=dict(type=BM25Retriever, ice_num=1),
inferencer=dict(type=GenInferencer))
iwslt2017_eval_cfg = dict(
evaluator=dict(type=BleuEvaluator),
pred_role='BOT',
pred_postprocessor=dict(type=general_cn_postprocess),
dataset_postprocessor=dict(type=general_cn_postprocess))
iwslt2017_datasets = [
dict(
type=IWSLT2017Dataset,
path='iwslt2017',
name='iwslt2017-en-de',
reader_cfg=iwslt2017_reader_cfg,
infer_cfg=iwslt2017_infer_cfg,
eval_cfg=iwslt2017_eval_cfg)
]