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import json
import os.path as osp
from datasets import Dataset
from opencompass.openicl.icl_evaluator import BaseEvaluator
from opencompass.registry import ICL_EVALUATORS, LOAD_DATASET
from .base import BaseDataset
@LOAD_DATASET.register_module()
class OpenFinDataDataset(BaseDataset):
@staticmethod
def load(path: str, name: str):
with open(osp.join(path, f'{name}.json'), 'r') as f:
data = json.load(f)
return Dataset.from_list(data)
@ICL_EVALUATORS.register_module()
class OpenFinDataKWEvaluator(BaseEvaluator):
def __init__(self, ):
super().__init__()
def score(self, predictions, references):
assert len(predictions) == len(references)
scores = []
results = dict()
for i in range(len(references)):
all_hit = True
judgement = references[i].split('、')
for item in judgement:
if item not in predictions[i]:
all_hit = False
break
if all_hit:
scores.append(True)
else:
scores.append(False)
results['accuracy'] = round(sum(scores) / len(scores), 4) * 100
return results
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