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42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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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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from opencompass.datasets import HumanevalXDataset, HumanevalXEvaluator
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humanevalx_reader_cfg = dict(
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input_columns=['prompt'], output_column='declaration', train_split='test')
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humanevalx_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template='{prompt}'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=1024))
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humanevalx_eval_cfg_dict = {
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lang : dict(
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evaluator=dict(
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type=HumanevalXEvaluator,
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language=lang,
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ip_address=
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'localhost', # replace to your code_eval_server ip_address, port
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port=5001), # refer to https://opencompass.readthedocs.io/en/latest/advanced_guides/code_eval_service.html to launch a server
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pred_role='BOT')
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for lang in ['python', 'cpp', 'go', 'java', 'js'] # do not support rust now
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}
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# Please download the needed `xx.jsonl.gz` from
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# https://github.com/THUDM/CodeGeeX2/tree/main/benchmark/humanevalx
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# and move them into `data/humanevalx/` folder
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humanevalx_datasets = [
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dict(
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type=HumanevalXDataset,
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abbr=f'humanevalx-{lang}',
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language=lang,
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path='./data/humanevalx',
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reader_cfg=humanevalx_reader_cfg,
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infer_cfg=humanevalx_infer_cfg,
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eval_cfg=humanevalx_eval_cfg_dict[lang])
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for lang in ['python', 'cpp', 'go', 'java', 'js']
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]
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