Datasets:
Tasks:
Text Classification
Formats:
json
Sub-tasks:
natural-language-inference
Languages:
English
Size:
1K - 10K
ArXiv:
License:
| \documentclass[varwidth=598pt]{standalone} | |
| \usepackage{booktabs} % professional-quality tables | |
| \usepackage{multirow} % multi-row cells in tables | |
| \usepackage{colortbl} % color for tables (\cellcolor, \rowcolor) | |
| \usepackage[table]{xcolor} % enhanced colors for tables | |
| \usepackage{array} % more flexible column formats (often used) | |
| \usepackage{tabularx} % for tables with auto-stretch columns (if used) | |
| \usepackage{graphicx} % for images in tables or figure/table floats | |
| \usepackage{amssymb} % math symbols | |
| \usepackage{amsmath} % math environments | |
| \usepackage{soul} % highlighting (used for colored text/cells) | |
| \usepackage[normalem]{ulem} % underlining, strikethroughs | |
| \usepackage[T1]{fontenc} % font encoding | |
| \usepackage[utf8]{inputenc}% input encoding (legacy, fine for pdflatex) | |
| \usepackage{microtype} % better text appearance | |
| \usepackage{hyperref} % hyperlinks | |
| \usepackage{textcomp} % for extra symbols | |
| \usepackage{enumitem} % for compact lists (if used in table notes) | |
| \usepackage{adjustbox} | |
| \usepackage{tabu} | |
| \usepackage{pifont} % http://ctan.org/pkg/pifont | |
| \usepackage{bbding} % \XSolidBrush | |
| \usepackage{makecell} | |
| \begingroup | |
| \makeatletter | |
| \renewcommand{\fnum@table}{}% | |
| \long\def\@makecaption#1#2{% | |
| \vskip\abovecaptionskip | |
| \centering #2\par | |
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| } | |
| \makeatother | |
| \newcommand{\given}{\vert} | |
| \newcommand{\prune}{\ensuremath{\mathsf{Prune}}} | |
| \newcommand{\grow}{\ensuremath{\mathsf{Grow}}} | |
| \newcommand{\pflow}{\ensuremath{\mathsf{flow}}} | |
| \newcommand{\pvalue}{\ensuremath{\mathsf{value}}} | |
| \newcommand{\erand}{\textsc{eRand}} | |
| \newcommand{\eparam}{\textsc{eParam}} | |
| \newcommand{\esample}{\textsc{eSample}} | |
| \newcommand{\eflow}{\textsc{eFlow}} | |
| \newcommand{\ecombine}{\textsc{eCombine}} | |
| \newcommand{\ourmodel}{\textsc{HairPin}} | |
| \newcommand\NoDo{\renewcommand\algorithmicdo{}} | |
| \newcommand\ReDo{\renewcommand\algorithmicdo{\textbf{do}}} | |
| \newcommand{\todo}[1]{\textcolor{ForestGreen}{\textbf{[TODO: #1]}}} | |
| \newcommand{\guy}[1]{\textcolor{TealBlue}{\textbf{[Guy: #1]}}} | |
| \newcommand{\mh}[1]{\textcolor{orange}{\textbf{[mh: #1]}}} | |
| \newcommand{\anji}[1]{\textcolor{purple}{\textbf{[anji: #1]}}} | |
| \begin{document} | |
| \begin{table} | |
| \centering | |
| \begin{adjustbox}{max width=\textwidth} | |
| \begin{tabular}{l||c|ccc}\toprule | |
| Dataset & Sparse PC (ours) & Bipartite flow~tran2019discrete & AF/SCF~ziegler2019latent & IAF/SCF~ziegler2019latent \\\midrule | |
| Penn Tree Bank & \textbf{1.35} & 1.38 &1.46 &1.63\\\bottomrule | |
| \end{tabular} | |
| \end{adjustbox} | |
| \caption{Table 2 : \label{tab:ptbchar}Character-level language modeling results on Penn Tree Bank in test set bpd.} | |
| \end{table} | |
| \end{document} |