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https://github.com/open-compass/opencompass.git
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7505b3cadf
* add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33
26 lines
760 B
Python
26 lines
760 B
Python
import copy
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from mmengine.config import ConfigDict
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from opencompass.registry import LOAD_DATASET, MODELS
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def build_dataset_from_cfg(dataset_cfg: ConfigDict):
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dataset_cfg = copy.deepcopy(dataset_cfg)
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dataset_cfg.pop('infer_cfg', None)
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dataset_cfg.pop('eval_cfg', None)
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dataset_cfg.pop('abbr', None)
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return LOAD_DATASET.build(dataset_cfg)
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def build_model_from_cfg(model_cfg: ConfigDict):
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model_cfg = copy.deepcopy(model_cfg)
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model_cfg.pop('run_cfg', None)
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model_cfg.pop('max_out_len', None)
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model_cfg.pop('batch_size', None)
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model_cfg.pop('abbr', None)
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model_cfg.pop('summarizer_abbr', None)
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model_cfg.pop('pred_postprocessor', None)
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model_cfg.pop('min_out_len', None)
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return MODELS.build(model_cfg)
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