Each dataset is split into easy, medium and a difficult split using the familiarity metric. Please see our paper for details.
Jonas Golde
whoisjones
AI & ML interests
Data-efficient transfer learning
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-binary-lr5e-05-20250411_140230
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a model
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-multilabel-lr5e-05-20250411_135828
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a model
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-multilabel-lr5e-05-20250411_135828
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-binary-lr5e-05-20250411_140230
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-multilabel-lr5e-05-20250411_135828
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whoisjones/openai-fineweb-edu-scorer-mdeberta-multilabel-lr5e-05-20250411_133317
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whoisjones/openai-fineweb-edu-scorer-mdeberta-binary-lr5e-05-20250411_132948
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whoisjones/gemma-fineweb-edu-scorer-xlm-multilabel-lr5e-05-20250411_131303
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whoisjones/gemma-fineweb-edu-scorer-xlm-binary-xlm-roberta-base-lr5e-05-20250411_122512
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whoisjones/openai-fineweb-edu-scorer-xlm-multilabel-xlm-roberta-base-lr5e-05-20250411_122059
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whoisjones/openai-fineweb-edu-scorer-xlm-binary-xlm-roberta-base-lr5e-05-20250411_122038
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whoisjones/openai-fineweb-edu-scorer-mdeberta-binary-lr5e-05-20250411_131745
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whoisjones/gemma-fineweb-edu-scorer-mdeberta-binary-mdeberta-v3-base-lr5e-05-20250411_122618
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datasets
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whoisjones/mastermind_24_random
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whoisjones/pilener_max_splits
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whoisjones/pilener_entropy_splits
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78.8k
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whoisjones/nuner_max_splits
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546k
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whoisjones/nuner_entropy_splits
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618k
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whoisjones/mastermind_46
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36.1k
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whoisjones/mastermind_35
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37.1k
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whoisjones/mastermind_24
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30.4k
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whoisjones/litset
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