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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=anthropic_stanford-online-all-v4-s3,groups=ablation_multiple_choice.json

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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=together_bloom,groups=ablation_multiple_choice.json

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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=together_gpt-j-6b,groups=ablation_multiple_choice.json

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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=together_gpt-neox-20b,groups=ablation_multiple_choice.json

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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=together_opt-175b,groups=ablation_multiple_choice.json

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commonsense:dataset=hellaswag,method=multiple_choice_joint,model=together_opt-66b,groups=ablation_multiple_choice.json

17.2 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=anthropic_stanford-online-all-v4-s3,groups=ablation_multiple_choice.json

128 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=together_bloom,groups=ablation_multiple_choice.json

125 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=together_gpt-j-6b,groups=ablation_multiple_choice.json

123 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=together_gpt-neox-20b,groups=ablation_multiple_choice.json

124 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=together_opt-175b,groups=ablation_multiple_choice.json

123 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_calibrated,model=together_opt-66b,groups=ablation_multiple_choice.json

124 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j1-grande,data_augmentation=canonical.json

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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j1-grande-v2-beta,data_augmentation=canonical.json

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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j1-jumbo,data_augmentation=canonical.json

247 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j1-large,data_augmentation=canonical.json

247 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j2-grande,data_augmentation=canonical.json

247 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j2-jumbo,data_augmentation=canonical.json

247 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=ai21_j2-large,data_augmentation=canonical.json

247 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=anthropic_stanford-online-all-v4-s3,data_augmentation=canonical.json

299 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=anthropic_stanford-online-all-v4-s3,groups=ablation_multiple_choice.json

88.3 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_command-medium-beta,data_augmentation=canonical.json

220 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_command-xlarge-beta,data_augmentation=canonical.json

220 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_large-20220720,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_medium-20220720,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_medium-20221108,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_small-20220720,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_xlarge-20220609,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=cohere_xlarge-20221108,data_augmentation=canonical.json

218 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=microsoft_TNLGv2_530B,data_augmentation=canonical.json

310 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=microsoft_TNLGv2_7B,data_augmentation=canonical.json

320 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_ada,data_augmentation=canonical.json

285 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_babbage,data_augmentation=canonical.json

285 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_curie,data_augmentation=canonical.json

285 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_davinci,data_augmentation=canonical.json

286 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_text-ada-001,data_augmentation=canonical.json

287 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_text-babbage-001,data_augmentation=canonical.json

287 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_text-curie-001,data_augmentation=canonical.json

287 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_text-davinci-002,data_augmentation=canonical.json

275 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=openai_text-davinci-003,data_augmentation=canonical.json

275 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_bloom,data_augmentation=canonical.json

290 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_bloom,groups=ablation_multiple_choice.json

86.1 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_gpt-j-6b,data_augmentation=canonical.json

301 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_gpt-j-6b,groups=ablation_multiple_choice.json

85.2 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_gpt-neox-20b,data_augmentation=canonical.json

292 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_gpt-neox-20b,groups=ablation_multiple_choice.json

85.9 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_opt-175b,data_augmentation=canonical.json

302 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_opt-175b,groups=ablation_multiple_choice.json

85.3 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_opt-66b,data_augmentation=canonical.json

302 MB
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commonsense:dataset=hellaswag,method=multiple_choice_separate_original,model=together_opt-66b,groups=ablation_multiple_choice.json

85.5 MB
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Gated dataset You can list files but not access them

Gated dataset

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