RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
\begin{tabular}{lcccccccc}
\toprule
\multirow{3}{*}{\textbf{Models}} &
  \multicolumn{4}{c}{\rule{0pt}{2ex}\textbf{EN Questions, EN databases}} &
  \multicolumn{4}{c}{\rule{0pt}{2ex}\textbf{ZH Questions, EN databases}} \\
  [-.5ex]
  \cmidrule(lr){2-5} \cmidrule(lr){6-9}
 &
  \multicolumn{2}{c}{\textbf{Full}} &
  \multicolumn{2}{c}{\textbf{Test}} &
  \multicolumn{2}{c}{\textbf{Full}} &
  \multicolumn{2}{c}{\textbf{Test}} \\
  [-.5ex]
  \cmidrule(lr){2-3} \cmidrule(lr){4-5} \cmidrule(lr){6-7} \cmidrule(lr){8-9} 
 &
  \textbf{VA} &
  \textbf{EX} &
  \textbf{VA} &
  \textbf{EX} &
  \textbf{VA} &
  \textbf{EX} &
  \textbf{VA} &
  \textbf{EX} \\ \hline
\rowcolor{yellow} \multicolumn{9}{c}{\textit{\textbf{LLMs}}} \\ 
GPT-3.5 + API Doc &
  82.63 &
  13.24 &
  83.65 &
  3.85 &
  86.18 &
  10.65 &
  85.58 &
  \textbf{3.85} \\
GPT-3.5 + CT-3 &
  \textbf{84.17} &
  \textbf{13.34} &
  80.77 &
  3.85 &
  \textbf{91.17} &
  \textbf{12.86} &
  \textbf{91.35} &
  1.92 \\
GPT-3.5 + CT-3 + COT &
  75.14 &
  13.24 &
  74.04 &
  4.81 &
  72.84 &
  12.19&
  65.38 &
  \textbf{3.85}\\
GPT-4 + DIN-SQL &
  - &
  - &
   \textbf{96.15}&
   \textbf{6.73}&
  - &
  - &
  - &
  - \\ \hline
\rowcolor{yellow}\multicolumn{9}{c}{\textit{\textbf{Fine-tuned Models}}} \\ 
T5-base/mT5-base &
  - &
  - &
  11.54 &
  0.00 &
  - &
  - &
  \multicolumn{1}{r}{9.62} &
  0.00 \\
T5-large/mT5-large &
  - &
  - &
  15.38 &
  0.00 &
  - &
  - &
  \multicolumn{1}{r}{14.42} &
  0.00 \\
T5-3B/mT5-xl &
  - &
  - &
  19.23 &
  0.00 &
  - &
  - &
  \multicolumn{1}{r}{17.31} &
  0.00 \\ 
T5-base/mT5-base + Aug &
  - &
  - &
  25.00&
  0.00&
  - &
  - &
  24.03 &
  0.00\\
T5-large/mT5-large + Aug  &
  - &
  - &
  33.65 &
  3.84&
  - &
  - &
  30.77 &
  0.96\\
T5-3B/mT5-xl + Aug &
  - &
  - &
  \textbf{50.00} &
  \textbf{4.81} &
  - &
  - &
  \textbf{61.54} &
  \textbf{1.92} \\\bottomrule
\end{tabular}%
\end{adjustbox}
\caption{Table 2: Baseline performance on Archer. GPT-4+DIN-SQL was tested only on the English set due to cost and its English-specific design. We only report the fine-tuned model's performance on the test set.}
\end{table}