alabnii/sciclaimeval-shared-task huggingface dataset:
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& \multicolumn{3}{c}{\textsc{Statistics}}&\multicolumn{7}{c}{\textsc{Models}} \\ \cmidrule(lr){2-4}\cmidrule(lr){5-11}
Dataset& Train & Dev & Test & \textsc{GPT-3.5 (CoT)} & \textsc{GPT-3.5 (5-shot)} & \textsc{+Tools} & \textsc{Llama2}& \textsc{+SFT} & \textsc{Raven} & \textsc{+Backoff} \\ \cmidrule(lr){1-1}\cmidrule(lr){2-4}\cmidrule(lr){5-7}\cmidrule(lr){8-9}\cmidrule(lr){10-11}
TAT-QA & 10,477 & 1,162 & 1,278 & 19.23\% & 34.06\% & 46.82\% & 10.91\% & 37.87\% & 51.35\% & \textbf{52.27\% } \\
OTT-QA & 10,273 & 1,115 & 1,247 & 5.55\% & 14.55\% & 14.60\% & 6.18\% & \textbf{20.10\%} & 16.03\% & 16.03\% \\
Wiki-SQL & 12,782 & 1,391 & 1,536 & 32.07\% & 53.00\% & 75.88\% & 21.68\% & 74.38\% & 84.25\% & \textbf{85.52\%} \\
FPB & 3,413 & 382 & 421 & 44.18\% & 70.07\% & 71.73\% & 66.03\% & 90.97\% & \textbf{91.92}\% & 91.92\% \\\bottomrule
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\caption{Table 1: The data statistics and experimental results (Exact Match) of various benchmarks and models. The best results are in \textbf{bold}. GPT-3.5 results are based on 5-shots. \textsc{Sota} is based on previously published results.}
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