Prompting and multiple-choice (MCQ) benchmarks to evaluate reasoning capabilities of LLMs using Mastermind.
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models
28
flair/ner-french
Token Classification
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230k
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flair/ner-multi
Token Classification
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4.35k
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10
flair/upos-multi
Token Classification
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27.3k
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7
flair/de-pos-fine-grained
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8
flair/bueble-lm-2b
Text Generation
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2B
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1.34k
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21
flair/ner-english
Token Classification
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198k
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35
flair/ner-english-fast
Token Classification
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880k
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25
flair/frame-english-fast
Token Classification
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367
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1
flair/frame-english
Token Classification
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35
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1
flair/ner-german-legal
Token Classification
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2.8k
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23
datasets
13
flair/mastermind_35_mcq_close
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37.1k
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480
flair/mastermind_24_prompt
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30.4k
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27
flair/mastermind_46_mcq_close
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36.1k
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575
flair/mastermind_46_mcq_random
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36.1k
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529
flair/mastermind_35_mcq_random
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37.1k
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28
flair/mastermind_24_mcq_close
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30.4k
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36
flair/mastermind_24_mcq_random
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30.4k
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441
flair/mastermind_46_prompt
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36.1k
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13
flair/mastermind_35_prompt
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37.1k
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4
flair/nuner_entropy_splits
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618k
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8