Update README.md

README.md

@@ -28,11 +28,26 @@ task_ids:
 [![CC BY-NC 4.0][cc-by-nc-shield]][cc-by-nc]
 
 
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Available SPOLIN Versions](#available_spolin_versions)
+  - [Relevant Links](#relevant-links)
+- [Dataset Structure](#dataset-structure)
+- [Dataset Statistics](#dataset-statistics)
+- [Other Information](#other-information)
+  - [ACL Presentation](#acl-presentation)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description 
+
+### Dataset Summary 
 This is the repo for the paper ["Grounding Conversations with Improvised Dialogues"](https://aclanthology.org/2020.acl-main.218/) (ACL2020). 
 The _Selected Pairs of Learnable ImprovisatioN_ (SPOLIN) corpus is a collection of more than 68,000 "Yes, and" type dialogue pairs extracted from the Spontaneanation podcast by Paul F. Tompkins, the Cornell Movie-Dialogs Corpus, and the SubTle corpus. For more information, refer to our [paper](https://arxiv.org/abs/2004.09544) or our [project page](https://justin-cho.com/spolin).
 
 
-### Available SPOLIN versions:
+### Available SPOLIN Versions:
 The core dataset that was used for the experiments in the paper only includes _yes-ands_ and non-_yes-ands_ from Spontaneanation and most of what is provided in those extracted from the Cornell Movie-Dialogs Corpus. After the submitting the paper, we continued our iterative data augmentation process, repeating another iteration with the Cornell Movie-Dialogs Corpus and extracting from the SubTle corpus. This expanded version is also included in this repository [here](/data). This latest version of SPOLIN was used to train the model used in our [demo](https://spolin.isi.edu). 
 
 
@@ -40,14 +55,16 @@ In the `data` folder, we provide two versions of the SPOLIN training set:
 1. Version used for experiments in the ACL paper: `data/spolin-train-acl.csv` 
 2. Expanded version: `data/spolin-train.csv`
 
-### Relevant links: 
+### Relevant Links: 
 
 * Project page: https://justin-cho.com/spolin
 * Github repo: https://github.com/wise-east/spolin 
 * SpolinBot Demo: https://spolin.isi.edu
 * ACL2020 Paper: https://aclanthology.org/2020.acl-main.218/
 
-**Fiels**
+
+## Dataset Structure
+**Fields**
 * `id`: unique identifier
 * `prompt`: first utterance in utterance pair
 * `response`: second utterance in utterance pair 
@@ -55,7 +72,7 @@ In the `data` folder, we provide two versions of the SPOLIN training set:
 * `source`: the source for the sample 
 * `split`: whether the sample belongs to the training set or the validation set 
   
-### Dataset Statistics 
+## Dataset Statistics 
 
 ##### `spolin-train.csv`:  
 || yesands| non-yesands|
@@ -84,12 +101,14 @@ In the `data` folder, we provide two versions of the SPOLIN training set:
 
 \*Artificially collected by mix & matching positive Spontaneanation samples to balance dataset for training classifier
 
+## Other Information 
+
 ### ACL Presentation 
 
 [Video recording](https://slideslive.com/38928948/grounding-conversations-with-improvised-dialogues)
 
 
-### Citation
+### Citation Information
 
 If you use our data for your work, please cite our ACL2020 paper: 
 ```
@@ -104,7 +123,7 @@ If you use our data for your work, please cite our ACL2020 paper:
 ```
 
 
-### License
+### Licensing Information
 
 
 This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License][cc-by-nc].