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8e55c9c6ee
* stash files * compassbench subjective evaluation added * evaluation update * fix lint * update docs * Update lint * changes saved * changes saved * CompassBench subjective summarizer added (#1349) * subjective summarizer added * fix lint [Fix] Fix MathBench (#1351) Co-authored-by: liuhongwei <liuhongwei@pjlab.org.cn> [Update] Update model support list (#1353) * fix pip version * fix pip version * update model support subjective summarizer updated knowledge, math objective done (data need update) remove secrets objective changes saved knowledge data added * secrets removed * changed added * summarizer modified * summarizer modified * compassbench coding added * fix lint * objective summarizer updated * compass_bench_v1.3 updated * update files in config folder * remove unused model * lcbench modified * removed model evaluation configs * remove duplicated sdk implementation --------- Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
import copy
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import json
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import re
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from datasets import Dataset
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from opencompass.registry import LOAD_DATASET, TEXT_POSTPROCESSORS
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from .base import BaseDataset
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def get_number(options):
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result_string = ''
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for i, option in enumerate(options, start=65):
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result_string += f'{chr(i)}. {option}\n'
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return result_string
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@LOAD_DATASET.register_module()
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class CompassBenchObjectiveV1_3(BaseDataset):
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@staticmethod
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def load(path: str, name: str):
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circular_patterns = ['ABCD', 'BCDA', 'CDAB', 'DABC']
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data = []
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with open(path, 'r') as infile:
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for id, line in enumerate(infile):
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entry = json.loads(line)
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if 'cloze' in name:
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data.append({
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'question': entry['question'].strip(),
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'answer': entry['answer'].strip(),
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})
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elif 'circular' in name:
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for c in circular_patterns:
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line = copy.deepcopy(entry)
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options = []
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for i in range(4):
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options.append(line['options'][ord(c[i]) -
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ord('A')])
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line['options'] = options
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line['answer'] = {
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c[0]: 'A',
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c[1]: 'B',
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c[2]: 'C',
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c[3]: 'D'
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}[line['answer']]
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line['answer'] = str(
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id) + '--' + line['answer'] + '--' + c
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line['question'] = (line['question'].strip() + '\n' +
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get_number(line['options']))
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data.append(line)
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else:
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# treat as normal single choice question
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entry['question'] = (entry['question'].strip() + '\n' +
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get_number(entry['options']))
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data.append(entry)
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dataset = Dataset.from_list(data)
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return dataset
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@TEXT_POSTPROCESSORS.register_module()
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def compassbench_objective_v1_3_postprocess(text: str, name) -> str:
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split = False
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ans = text
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if '_cn' in name:
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ans_line = ans.split('答案是')
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else:
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ans_line = ans.split('The answer is')
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if len(ans_line) != 1:
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ans = ans_line[1].strip()
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split = True
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output = re.sub(r'(\d),(\d)', r'\1\2', ans)
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numbers = re.findall(r'-?\d*\.?/?\d+|\d+', output)
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if numbers:
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return numbers[0] if split else numbers[-1]
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return ans
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