Prompting and multiple-choice (MCQ) benchmarks to evaluate reasoning capabilities of LLMs using Mastermind.
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models
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flair/ner-multi
Token Classification
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3.36k
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flair/upos-multi
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936
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flair/de-pos-fine-grained
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flair/bueble-lm-2b
Text Generation
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39
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flair/ner-english
Token Classification
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203k
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flair/ner-english-fast
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1.2M
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flair/frame-english-fast
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340
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flair/frame-english
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98
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1
flair/ner-german-legal
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2.75k
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19
flair/pos-english
Token Classification
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108k
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28
datasets
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flair/mastermind_46_mcq_close
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36.1k
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123
flair/mastermind_46_mcq_random
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36.1k
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121
flair/mastermind_35_mcq_close
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37.1k
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150
flair/mastermind_35_mcq_random
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37.1k
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109
flair/mastermind_24_mcq_close
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30.4k
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113
flair/mastermind_24_mcq_random
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30.4k
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flair/mastermind_46_prompt
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99
flair/mastermind_35_prompt
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37.1k
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100
flair/mastermind_24_prompt
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30.4k
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90
flair/nuner_entropy_splits
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618k
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69