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edab1c07ba
* add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * udpate dataset for modelscope support * update readme * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * update readme * remove tydiqa japanese subset * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * update readme * udpate dataset for modelscope support * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * remove tydiqa japanese subset * update util * remove .DS_Store * fix md format * move util into package * update docs/get_started.md * restore eval_api_zhipu_v2.py, add environment setting * Update dataset * Update * Update * Update * Update --------- Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local> Co-authored-by: Yunnglin <mao.looper@qq.com> Co-authored-by: Yun lin <yunlin@laptop.local> Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn> Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
86 lines
2.5 KiB
Python
86 lines
2.5 KiB
Python
import json
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import os
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from datasets import Dataset
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from opencompass.openicl.icl_evaluator import BaseEvaluator
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from opencompass.registry import ICL_EVALUATORS, LOAD_DATASET
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from opencompass.utils import get_data_path
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from ..base import BaseDataset
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from .evaluation_functions import (cjft, flzx, ftcs, jdzy, jec_ac, jec_kd,
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jetq, lblj, ljp_accusation, ljp_article,
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ljp_imprison, sjjc, wbfl, wsjd, xxcq, ydlj,
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yqzy, zxfl)
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@LOAD_DATASET.register_module()
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class LawBenchDataset(BaseDataset):
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@staticmethod
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def load(path: str, index: str) -> Dataset:
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path = get_data_path(path, local_mode=True)
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path = os.path.join(path, index + '.json')
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with open(path, 'r') as f:
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data = json.load(f)
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return Dataset.from_list(data)
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funct_dict = {
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'1-1': ftcs.compute_ftcs,
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'1-2': jec_kd.compute_jec_kd,
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'2-1': wsjd.compute_wsjd,
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'2-2': jdzy.compute_jdzy,
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'2-3': wbfl.compute_wbfl,
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'2-4': zxfl.compute_zxfl,
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'2-5': ydlj.compute_ydlj,
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'2-6': xxcq.compute_xxcq,
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'2-7': yqzy.compute_yqzy,
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'2-8': lblj.compute_lblj,
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'2-9': sjjc.compute_sjjc,
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'2-10': sjjc.compute_cfcy,
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'3-1': ljp_article.compute_ljp_article,
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'3-2': cjft.compute_cjft,
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'3-3': ljp_accusation.compute_ljp_accusation,
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'3-4': ljp_imprison.compute_ljp_imprison,
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'3-5': ljp_imprison.compute_ljp_imprison,
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'3-6': jec_ac.compute_jec_ac,
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'3-7': jetq.compute_jetq,
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'3-8': flzx.compute_flzx,
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}
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class LawBenchEvaluator(BaseEvaluator):
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def __init__(self, index) -> None:
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super().__init__()
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self.index = index
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def score(self, predictions, references, origin_prompt):
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if len(predictions) != len(references):
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return {
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'error': 'predictions and references have different '
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'length'
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}
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data_dict = [{
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'origin_prompt': origin_prompt[i],
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'prediction': predictions[i],
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'refr': references[i],
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} for i in range(len(predictions))]
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scores = funct_dict[self.index](data_dict)
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scores = {k: v * 100 for k, v in scores.items()}
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return scores
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for index in funct_dict:
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# fix classic closure problem
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def _register(index):
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ICL_EVALUATORS.register_module(
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name='LawBenchEvaluator_' + index.replace('-', '_'),
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module=lambda *args, **kwargs: LawBenchEvaluator(
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index=index, *args, **kwargs))
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_register(index)
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