alabnii/sciclaimeval-shared-task huggingface dataset:
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\toprule Dataset & M & N & ROC-AUC & ECE & C@80 \\
\midrule \multirow{8}{*}{NQ} & \multirow{4}{*}{D} & 10 & 0.749 & 0.132 & 40.8 \\
& & 8 & 0.791 & 0.086 & 44.2 \\
& & 5 & 0.806 & 0.125 & 43.9 \\
& & 3 & 0.814 & 0.152 & 44.8 \\
\cmidrule(r){2-6} & \multirow{4}{*}{R} & 10 & 0.789 & 0.155 & 43.3 \\
& & 8 & 0.811 & 0.116 & 45.0 \\
& & 5 & 0.826 & 0.099 & 45.3 \\
& & 3 & 0.830 & 0.103 & 45.4 \\
\midrule \multirow{8}{*}{AmbigQA} & \multirow{4}{*}{D} & 10 & 0.650 & 0.297 & 12.1 \\
& & 8 & 0.719 & 0.218 & 12.5 \\
& & 5 & 0.755 & 0.148 & 16.8 \\
& & 3 & 0.767 & 0.114 & 16.1 \\
\cmidrule(r){2-6} & \multirow{4}{*}{R} & 10 & 0.769 & 0.152 & 16.7 \\
& & 8 & 0.801 & 0.130 & 24.3 \\
& & 5 & 0.815 & 0.120 & 26.9 \\
& & 3 & 0.821 & 0.120 & 26.2 \\
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\caption{Table 3: Calibration by number of samples (N). EM is excluded, because
it is solely based on the greedy answer and does not depend on the number of
samples.}
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