alabnii/sciclaimeval-shared-task huggingface dataset:
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\toprule
Train$\downarrow$ Test$\rightarrow$ & \tabincell{c}{FEVER\\-para} & \tabincell{c}{FEVER\\-sent} & VitaminC & \tabincell{c}{C-FEVER\\-para} & \tabincell{c}{C-FEVER\\-sent} & \tabincell{c}{SciFact\\-para} & \tabincell{c}{SciFact\\-sent} & PubHealth \\
% & -para & -sent & -para & -sent & -para & -sent & & \\
\midrule
FEVER-para & --- & \textbf{73.81} & 43.87 & 20.83 & 40.90 & 22.09 & 28.10 & 9.05 \\
FEVER-sent & \textbf{56.57} & --- & \textbf{63.11} & 44.98 & \textbf{49.70} & \textbf{45.98} & \textbf{57.15} & 21.61 \\
VitaminC & 52.04 & 65.32 & --- & 42.32 & 44.40 & 44.14 & 50.55 & \textbf{22.97} \\
\midrule
C-FEVER-para & 17.86 & 20.04 & 10.59 & --- & 42.02 & 29.93 & 31.62 & 5.29 \\
C-FEVER-sent & 17.87 & 24.47 & 20.25 & \textbf{55.59} & --- & 25.84 & 39.39 & 8.47 \\
SciFact-para & 23.96 & 27.09 & 28.37 & 29.85 & 28.63 & --- & 44.68 & 6.78 \\
SciFact-sent & 16.86 & 24.50 & 29.22 & 20.61 & 32.50 & 29.00 & --- & 4.49 \\
PubHealth & 35.21 & 34.41 & 30.67 & 34.12 & 24.18 & 40.34 & 42.03 & --- \\
\midrule
SELF & 85.58 & 89.28 & 86.76 & 44.61 & 62.54 & 52.25 & 54.27 & 72.10 \\
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\caption{Table 2 : Macro-F1 of \textbf{3-class fact verification} on the evaluation set for all datasets in a zero-shot generalization setup. Rows correspond to the training dataset and columns to the evaluated dataset. The row SELF corresponds to the in-domain performance (training and testing on the same target dataset).
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\label{tbl:zero-shot-three-class-results}
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% 30.01 16,47 24.65 -9.98 13.84 7.27 -1.88 50.13