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chore: fix line endings and formatting; add maritime_bench dataset
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from opencompass.datasets import MaritimeBenchDataset
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.utils.text_postprocessors import first_option_postprocess
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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maritimebench_reader_cfg = dict(
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input_columns=['question', 'A', 'B', 'C', 'D'],
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output_column='answer',
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train_split='test' # 明确指定使用test分割
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)
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maritimebench_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='请回答单选题。要求只输出选项,不输出解释,将选项放在<>里,直接输出答案。示例:\n\n题目:在船舶主推进动力装置中,传动轴系在运转中承受以下复杂的应力和负荷,但不包括______。\n选项:\nA. 电磁力\nB. 压拉应力\nC. 弯曲应力\nD. 扭应力\n答:<A> 当前题目:\n {question}\nA:{A}\nB:{B}\nC:{C}\nD:{D}')
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]
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),
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),
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retriever=dict(type=ZeroRetriever), # 不使用上下文
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inferencer=dict(type=GenInferencer) # 添加推理器配置
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)
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maritimebench_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD')
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)
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maritimebench_datasets = [
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dict(
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abbr='maritimebench',
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type=MaritimeBenchDataset,
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name='default',
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path='opencompass/maritimebench',
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reader_cfg=maritimebench_reader_cfg,
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infer_cfg=maritimebench_infer_cfg,
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eval_cfg=maritimebench_eval_cfg
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)
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]
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@ -85,6 +85,7 @@ from .llm_compression import LLMCompressionDataset # noqa: F401, F403
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from .longbench import * # noqa: F401, F403
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from .longbench import * # noqa: F401, F403
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from .longbenchv2 import * # noqa: F401, F403
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from .longbenchv2 import * # noqa: F401, F403
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from .lveval import * # noqa: F401, F403
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from .lveval import * # noqa: F401, F403
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from .maritime_bench import * # noqa: F401, F403
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from .mastermath2024v1 import * # noqa: F401, F403
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from .mastermath2024v1 import * # noqa: F401, F403
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from .math import * # noqa: F401, F403
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from .math import * # noqa: F401, F403
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from .math401 import * # noqa: F401, F403
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from .math401 import * # noqa: F401, F403
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64
opencompass/datasets/maritime_bench.py
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64
opencompass/datasets/maritime_bench.py
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import json
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import os.path as osp
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from os import environ
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import datasets
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from datasets import Dataset, DatasetDict
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from opencompass.registry import 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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@LOAD_DATASET.register_module()
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class MaritimeBenchDataset(BaseDataset):
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@staticmethod
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def load(path: str, name: str) -> datasets.Dataset:
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path = get_data_path(path)
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dataset = DatasetDict()
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dataset_list = []
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if environ.get('DATASET_SOURCE') == 'ModelScope':
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from modelscope import MsDataset
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for split in ['test']:
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# 从 ModelScope 加载数据
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ms_dataset = MsDataset.load(path,
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subset_name=name,
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split=split)
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for line in ms_dataset:
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question = line['question']
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A = line['A']
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B = line['B']
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C = line['C']
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D = line['D']
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answer = line['answer']
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dataset_list.append({
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'question': question,
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'A': A,
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'B': B,
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'C': C,
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'D': D,
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'answer': answer,
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})
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# dataset[split] = Dataset.from_list(dataset_list)
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else:
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for split in ['test']:
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filename = osp.join(path, split, f'{name}_{split}.jsonl')
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with open(filename, encoding='utf-8') as f:
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for line in f:
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data = json.loads(line)
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dataset_list.append({
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'question': data['question'],
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'A': data['A'],
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'B': data['B'],
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'C': data['C'],
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'D': data['D'],
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'answer': data['answer']
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})
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dataset[split] = Dataset.from_list(dataset_list)
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return dataset
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@ -420,6 +420,11 @@ DATASETS_MAPPING = {
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"hf_id": "",
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"hf_id": "",
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"local": "./data/OlympiadBench",
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"local": "./data/OlympiadBench",
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},
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},
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"opencompass/maritimebench": {
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"ms_id": "HiDolphin/MaritimeBench",
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"hf_id": "",
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"local": "./data/maritimebench",
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},
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}
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}
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DATASETS_URL = {
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DATASETS_URL = {
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