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import json
import os
from datasets import Dataset
from opencompass.openicl.icl_evaluator import BaseEvaluator
from opencompass.registry import ICL_EVALUATORS, LOAD_DATASET
from ..base import BaseDataset
from .evaluation_functions import (cjft, flzx, ftcs, jdzy, jec_ac, jec_kd,
jetq, lblj, ljp_accusation, ljp_article,
ljp_imprison, sjjc, wbfl, wsjd, xxcq, ydlj,
yqzy, zxfl)
@LOAD_DATASET.register_module()
class LawBenchDataset(BaseDataset):
@staticmethod
def load(path: str, index: str) -> Dataset:
path = os.path.join(path, index + '.json')
with open(path, 'r') as f:
data = json.load(f)
return Dataset.from_list(data)
funct_dict = {
'1-1': ftcs.compute_ftcs,
'1-2': jec_kd.compute_jec_kd,
'2-1': wsjd.compute_wsjd,
'2-2': jdzy.compute_jdzy,
'2-3': wbfl.compute_wbfl,
'2-4': zxfl.compute_zxfl,
'2-5': ydlj.compute_ydlj,
'2-6': xxcq.compute_xxcq,
'2-7': yqzy.compute_yqzy,
'2-8': lblj.compute_lblj,
'2-9': sjjc.compute_sjjc,
'2-10': sjjc.compute_cfcy,
'3-1': ljp_article.compute_ljp_article,
'3-2': cjft.compute_cjft,
'3-3': ljp_accusation.compute_ljp_accusation,
'3-4': ljp_imprison.compute_ljp_imprison,
'3-5': ljp_imprison.compute_ljp_imprison,
'3-6': jec_ac.compute_jec_ac,
'3-7': jetq.compute_jetq,
'3-8': flzx.compute_flzx,
}
class LawBenchEvaluator(BaseEvaluator):
def __init__(self, index) -> None:
super().__init__()
self.index = index
def score(self, predictions, references, origin_prompt):
if len(predictions) != len(references):
return {
'error': 'predictions and references have different '
'length'
}
data_dict = [{
'origin_prompt': origin_prompt[i],
'prediction': predictions[i],
'refr': references[i],
} for i in range(len(predictions))]
scores = funct_dict[self.index](data_dict)
scores = {k: v * 100 for k, v in scores.items()}
return scores
for index in funct_dict:
# fix classic closure problem
def _register(index):
ICL_EVALUATORS.register_module(
name='LawBenchEvaluator_' + index.replace('-', '_'),
module=lambda *args, **kwargs: LawBenchEvaluator(
index=index, *args, **kwargs))
_register(index)
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