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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7.08k
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flair/upos-multi
Token Classification
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flair/de-pos-fine-grained
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flair/bueble-lm-2b
Text Generation
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2B
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flair/ner-english
Token Classification
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140k
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flair/ner-english-fast
Token Classification
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945k
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flair/frame-english-fast
Token Classification
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486
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flair/frame-english
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64
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1
flair/ner-german-legal
Token Classification
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1.27k
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23
flair/pos-english
Token Classification
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26.4k
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30
datasets
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flair/mastermind_35_mcq_close
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flair/mastermind_24_prompt
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flair/mastermind_46_mcq_close
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36.1k
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110
flair/mastermind_46_mcq_random
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36.1k
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324
flair/mastermind_35_mcq_random
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37.1k
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346
flair/mastermind_24_mcq_close
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30.4k
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flair/mastermind_24_mcq_random
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373
flair/mastermind_46_prompt
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36.1k
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44
flair/mastermind_35_prompt
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37.1k
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flair/nuner_entropy_splits
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618k
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31