Update README.md

README.md

@@ -18,11 +18,20 @@ dataset_info:
 ---
 # Dataset Card for Argument-Quality-Ranking-30k Dataset
 
+## Table of Contents
+
+- [Dataset Summary](#dataset-summary)
+- [Dataset Structure](#dataset-structure)
+ - [Quality Labels](#quality-labels)
+ - [Stance Labels](#stance-labels)
+- [Licensing Information](#licensing-information)
+- [Citation Information](#citation-information)
+
 ## Dataset Summary
 
 The dataset contains 30,497 crowd-sourced arguments for 71 debatable topics labeled for quality and stance, split into train, dev and test sets.
 
-The dataset was originally published as part of our paper [A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis](https://arxiv.org/abs/1911.11408).
+The dataset was originally published as part of our paper: [A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis](https://arxiv.org/abs/1911.11408).
 
 ## Dataset Structure
 
@@ -32,11 +41,11 @@ Each instance contains a string argument, a string topic, and quality and stance
 * stance_WA - the stance label according to the weighted-average scoring function
 * stance_WA_conf - the confidence in the stance label according to the weighted-average scoring function
 
-Quality labels
+Quality Labels
 --------------
 For an explanation of the quality labels presented in columns WA and MACE-P, please see section 4 in the paper.
 
-Stance labels
+Stance Labels
 -------------
 There were three possible annotations for the stance task: 1 (pro), -1 (con) and 0 (neutral). The stance_WA_conf column refers to the weighted-average score of the winning label. The stance_WA column refers to the winning stance label itself.