OpenCompass Public MR

configs/datasets/CLUE_afqmc/CLUE_afqmc_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .CLUE_afqmc_gen_db509b import afqmc_datasets  # noqa: F401, F403

configs/datasets/FewCLUE_bustm/FewCLUE_bustm_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .FewCLUE_bustm_gen_305431 import bustm_datasets  # noqa: F401, F403

configs/datasets/FewCLUE_eprstmt/FewCLUE_eprstmt_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .FewCLUE_eprstmt_gen_d6d06d import eprstmt_datasets  # noqa: F401, F403

configs/datasets/FewCLUE_ocnli_fc/FewCLUE_ocnli_fc_ppl.py

+from mmengine.config import read_base
+
+with read_base():
+    from .FewCLUE_ocnli_fc_ppl_b828fc import ocnli_fc_datasets  # noqa: F401, F403

configs/datasets/SuperGLUE_AX_b/SuperGLUE_AX_b_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .SuperGLUE_AX_b_gen_477186 import AX_b_datasets  # noqa: F401, F403

configs/datasets/agieval/agieval_mixed.py

+from mmengine.config import read_base
+
+with read_base():
+    from .agieval_mixed_2f14ad import agieval_datasets  # noqa: F401, F403

configs/datasets/lcsts/lcsts_gen_65108e.py

+from opencompass.openicl.icl_prompt_template import PromptTemplate
+from opencompass.openicl.icl_retriever import ZeroRetriever
+from opencompass.openicl.icl_inferencer import GenInferencer
+from opencompass.openicl.icl_evaluator import RougeEvaluator
+from opencompass.datasets import LCSTSDataset
+
+lcsts_reader_cfg = dict(input_columns=['content'], output_column='abst')
+
+lcsts_infer_cfg = dict(
+    prompt_template=dict(
+        type=PromptTemplate, template='阅读文章：{content}\n根据上文，给出简短的单个摘要：'),
+    retriever=dict(type=ZeroRetriever),
+    inferencer=dict(type=GenInferencer))
+
+lcsts_eval_cfg = dict(
+    evaluator=dict(type=RougeEvaluator),
+    pred_postprocessor=dict(type='lcsts'),
+)
+
+lcsts_datasets = [
+    dict(
+        type=LCSTSDataset,
+        abbr='lcsts',
+        path='./data/LCSTS',
+        reader_cfg=lcsts_reader_cfg,
+        infer_cfg=lcsts_infer_cfg,
+        eval_cfg=lcsts_eval_cfg)
+]

configs/datasets/mmlu/mmlu_gen.py

+from mmengine.config import read_base
+
+with read_base():
+    from .mmlu_gen_a568f1 import mmlu_datasets  # noqa: F401, F403

configs/datasets/winogrande/winogrande_ppl.py

+from mmengine.config import read_base
+
+with read_base():
+    from .winogrande_ppl_00f8ad import winogrande_datasets  # noqa: F401, F403

configs/summarizers/groups/mmlu.py

+mmlu_summary_groups = []
+
+_mmlu_humanities = ['formal_logic', 'high_school_european_history', 'high_school_us_history', 'high_school_world_history', 'international_law', 'jurisprudence', 'logical_fallacies', 'moral_disputes', 'moral_scenarios', 'philosophy', 'prehistory', 'professional_law', 'world_religions']
+_mmlu_humanities = ['lukaemon_mmlu_' + s for s in _mmlu_humanities]
+mmlu_summary_groups.append({'name': 'mmlu-humanities', 'subsets': _mmlu_humanities})
+
+_mmlu_stem = ['abstract_algebra', 'anatomy', 'astronomy', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_physics', 'computer_security', 'conceptual_physics', 'electrical_engineering', 'elementary_mathematics', 'high_school_biology', 'high_school_chemistry', 'high_school_computer_science', 'high_school_mathematics', 'high_school_physics', 'high_school_statistics', 'machine_learning']
+_mmlu_stem = ['lukaemon_mmlu_' + s for s in _mmlu_stem]
+mmlu_summary_groups.append({'name': 'mmlu-stem', 'subsets': _mmlu_stem})
+
+_mmlu_social_science = ['econometrics', 'high_school_geography', 'high_school_government_and_politics', 'high_school_macroeconomics', 'high_school_microeconomics', 'high_school_psychology', 'human_sexuality', 'professional_psychology', 'public_relations', 'security_studies', 'sociology', 'us_foreign_policy']
+_mmlu_social_science = ['lukaemon_mmlu_' + s for s in _mmlu_social_science]
+mmlu_summary_groups.append({'name': 'mmlu-social-science', 'subsets': _mmlu_social_science})
+
+_mmlu_other = ['business_ethics', 'clinical_knowledge', 'college_medicine', 'global_facts', 'human_aging', 'management', 'marketing', 'medical_genetics', 'miscellaneous', 'nutrition', 'professional_accounting', 'professional_medicine', 'virology']
+_mmlu_other = ['lukaemon_mmlu_' + s for s in _mmlu_other]
+mmlu_summary_groups.append({'name': 'mmlu-other', 'subsets': _mmlu_other})
+
+_mmlu_all = _mmlu_humanities + _mmlu_stem + _mmlu_social_science + _mmlu_other
+_mmlu_weights = {'college_biology': 144,'college_chemistry': 100,'college_computer_science': 100,'college_mathematics': 100,'college_physics': 102,'electrical_engineering': 145,'astronomy': 152,'anatomy': 135,'abstract_algebra': 100,'machine_learning': 112,'clinical_knowledge': 265,'global_facts': 100,'management': 103,'nutrition': 306,'marketing': 234,'professional_accounting': 282,'high_school_geography': 198,'international_law': 121,'moral_scenarios': 895,'computer_security': 100,'high_school_microeconomics': 238,'professional_law': 1534,'medical_genetics': 100,'professional_psychology': 612,'jurisprudence': 108,'world_religions': 171,'philosophy': 311,'virology': 166,'high_school_chemistry': 203,'public_relations': 110,'high_school_macroeconomics': 390,'human_sexuality': 131,'elementary_mathematics': 378,'high_school_physics': 151,'high_school_computer_science': 100,'high_school_european_history': 165,'business_ethics': 100,'moral_disputes': 346,'high_school_statistics': 216,'miscellaneous': 783,'formal_logic': 126,'high_school_government_and_politics': 193,'prehistory': 324,'security_studies': 245,'high_school_biology': 310,'logical_fallacies': 163,'high_school_world_history': 237,'professional_medicine': 272,'high_school_mathematics': 270,'college_medicine': 173,'high_school_us_history': 204,'sociology': 201,'econometrics': 114,'high_school_psychology': 545,'human_aging': 223,'us_foreign_policy': 100,'conceptual_physics': 235}
+_mmlu_weights = {'lukaemon_mmlu_' + k : v for k,v in _mmlu_weights.items()}
+mmlu_summary_groups.append({'name': 'mmlu', 'subsets': _mmlu_all})
+mmlu_summary_groups.append({'name': 'mmlu-weighted', 'subsets': _mmlu_all, 'weights': _mmlu_weights})

docs/en/_templates/autosummary/class.rst

+.. role:: hidden
+    :class: hidden-section
+.. currentmodule:: {{ module }}
+
+
+{{ name | underline}}
+
+.. autoclass:: {{ name }}
+    :members:
+
+..
+  autogenerated from _templates/autosummary/class.rst
+  note it does not have :inherited-members:

docs/en/docutils.conf

+[html writers]
+table_style: colwidths-auto

docs/en/tools.md

+# Userful Tools

docs/en/user_guides/metrics.md

+# Metric Calculation

docs/zh_cn/Makefile

+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

opencompass/openicl/icl_retriever/__init__.py

+from .icl_base_retriever import BaseRetriever
+from .icl_bm25_retriever import BM25Retriever
+from .icl_dpp_retriever import DPPRetriever
+from .icl_fix_k_retriever import FixKRetriever
+from .icl_mdl_retriever import MDLRetriever
+from .icl_random_retriever import RandomRetriever
+from .icl_topk_retriever import TopkRetriever
+from .icl_votek_retriever import VotekRetriever
+from .icl_zero_retriever import ZeroRetriever

requirements/runtime.txt

+accelerate>=0.19.0
+datasets>=2.12.0
+evaluate>=0.3.0
+faiss_gpu==1.7.2
+nltk==3.8
+numpy==1.23.4
+openai==0.27.1
+rank_bm25==0.2.2
+requests==2.28.1
+scikit_learn==1.2.1
+sentence_transformers==2.2.2
+torch>=1.13.1
+tqdm==4.64.1
+transformers>=4.29.1
+openai
+mmengine
+jieba
+pandas<2.0.0
+cpm_kernels
+tokenizers>=0.13.3
+tabulate
+fairscale
+colossalai
+tabulate
+boto3
+tiktoken
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