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summarizer = dict( |
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dataset_abbrs = [ |
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'--------- LongBench Single-Document QA ---------', |
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'LongBench_narrativeqa', |
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'LongBench_qasper', |
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'LongBench_multifieldqa_en', |
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'LongBench_multifieldqa_zh', |
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'--------- LongBench Multi-Document QA ---------', |
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'LongBench_hotpotqa', |
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'LongBench_2wikimqa', |
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'LongBench_musique', |
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'LongBench_dureader', |
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'--------- LongBench Summarization ---------', |
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'LongBench_gov_report', |
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'LongBench_qmsum', |
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'LongBench_multi_news', |
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'LongBench_vcsum', |
|
'--------- LongBench Few-shot Learning ---------', |
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'LongBench_trec', |
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'LongBench_triviaqa', |
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'LongBench_samsum', |
|
'LongBench_lsht', |
|
'--------- LongBench Synthetic Tasks ---------', |
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'LongBench_passage_count', |
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'LongBench_passage_retrieval_en', |
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'LongBench_passage_retrieval_zh', |
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'--------- LongBench Code Completion ---------', |
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'LongBench_lcc', |
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'LongBench_repobench-p', |
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], |
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summary_groups=sum([v for k, v in locals().items() if k.endswith('_summary_groups')], []), |
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) |
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|