Fixed website download names and added About in nav (#343)

Co-authored-by: ex36 <96800594+Torchee@users.noreply.github.com>

Author: ethanxia4

website/docs/source/about.rst

@@ -0,0 +1,79 @@
+ConvoKit: Conversational Analysis Toolkit
+=========================================
+
+.. image:: https://img.shields.io/pypi/v/convokit.svg
+   :target: https://pypi.org/pypi/convokit/
+   :alt: PyPI version
+
+.. image:: https://img.shields.io/badge/python-3.10%2B-blue
+   :target: https://pypi.org/pypi/convokit/
+   :alt: Python versions
+
+.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
+    :target: https://github.com/psf/black
+    :alt: Code style: black
+
+.. image:: https://img.shields.io/badge/license-MIT-green
+   :target: https://github.com/CornellNLP/ConvoKit/blob/master/LICENSE.md
+   :alt: License
+
+This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a `single unified interface <https://convokit.cornell.edu/documentation/architecture.html>`_ inspired by (and compatible with) scikit-learn. Several large conversational datasets are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is `4.1.0 <https://github.com/CornellNLP/ConvoKit/releases/tag/v4.1.0>`_ (released Mar. 10, 2026); follow the project on GitHub to keep track of updates.
+
+Quick Links
+-----------
+
+* :doc:`installation` - Get started with ConvoKit
+* :doc:`datasets` - Browse available conversational datasets
+* :doc:`features` - Explore analysis features and APIs
+* `Documentation <https://convokit.cornell.edu/documentation/>`_
+* `GitHub Repository <https://github.com/CornellNLP/ConvoKit>`_
+* `Discord Community <https://discord.gg/WMFqMWgz6P>`_
+
+Documentation
+-------------
+
+Documentation is hosted `here <https://convokit.cornell.edu/documentation/>`_.
+
+If you are new to ConvoKit, great places to get started are:
+
+* The `Core Concepts tutorial <https://convokit.cornell.edu/documentation/architecture.html>`_ for an overview of ConvoKit's object model
+* The `High-level tutorial <https://convokit.cornell.edu/documentation/tutorial.html>`_ for a walkthrough of importing ConvoKit, loading a Corpus, and using its functions
+
+For an overview, watch our SIGDIAL talk introducing the toolkit:
+
+.. raw:: html
+
+   <div style="margin: 2rem 0;">
+     <iframe width="560" height="315"
+             src="https://www.youtube.com/embed/nofzyxM4h1k"
+             title="SIGDIAL 2020: Introducing ConvoKit"
+             frameborder="0"
+             allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+             allowfullscreen
+             style="max-width: 100%;">
+     </iframe>
+   </div>
+
+
+Community & Support
+-------------------
+
+Join our `Discord community <https://discord.gg/WMFqMWgz6P>`_ to:
+
+* Get help with installation and usage
+* Stay updated on the latest releases
+* Discuss progress, features, and issues
+* Share your work and connect with others
+
+Citation
+--------
+
+If you use ConvoKit code or datasets, please acknowledge the respective components in addition to:
+
+   Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil. 2020.
+   "ConvoKit: A Toolkit for the Analysis of Conversations". *Proceedings of SIGDIAL*.
+
+Funding
+-------
+
+*ConvoKit is funded in part by the U.S. National Science Foundation under Grant No. IIS-1750615 (CAREER). Any opinions, findings, and conclusions in this work are those of the author(s) and do not necessarily reflect the views of Cornell University or the National Science Foundation.*

website/docs/source/datasets.rst

@@ -28,6 +28,7 @@ Three related corpora of conversations that derail into antisocial behavior.
 
 * **Download name:** ``conversations-gone-awry-corpus``
 * **Tags:** Wikipedia, derailment, online, asynchronous, outcome labels, summaries, persuasion, online, medium size, debate, medium conversations, timestamps
+
 **CGA-CMV:** ChangeMyView discussion threads that derail into rule-violating behavior.
 
 * **Download name:** ``conversations-gone-awry-cmv-corpus``
@@ -334,7 +335,7 @@ A collection of 1,155 five-minute telephone conversations between two participan
    </div>
 
 Stanford Politeness Corpus
-------------------------
+--------------------------
 
 .. raw:: html
 
@@ -466,7 +467,7 @@ Fora Corpus
 
    <div class="dataset-card" data-tags="small size, speaker info, utterance labels, timestamps, group, in person, various topics">
 
-Fora corpus is a dataset of 262 annotated transcripts of multi-person facilitated dialogues regarding issues like education, elections, and public health, primarily through the sharing of personal experience. The corpus is available by request from the authors (https://github.com/schropes/fora-corpus) and ConvoKit contains code for converting the transcripts into ConvoKit format, as detailed below.
+Fora corpus is a dataset of 262 annotated transcripts of multi-person facilitated dialogues regarding issues like education, elections, and public health, primarily through the sharing of personal experience. The corpus is available by request from the authors (https://github.com/schropes/fora-corpus) and ConvoKit contains code for converting the transcripts into ConvoKit format, as detailed in the documentation.
 
 * **Tags:** small size, speaker info, utterance labels, timestamps, group, in person, various topics
 * `Documentation <https://convokit.cornell.edu/documentation/fora.html>`_
@@ -476,12 +477,13 @@ Fora corpus is a dataset of 262 annotated transcripts of multi-person facilitate
    </div>
 
 Unintended Offense Corpus
--------------
+-------------------------
 
 .. raw:: html
 
    <div class="dataset-card" data-tags="online, asynchronous, outcome, labels, utterance labels, timestamps, Twitter/X, medium size, short conversations, various topics, politeness">
-A collection of unintentionally offensive Tweets and replies in which a Tweet in the exchange was offensive to someone, followed by an indication that the poster meant no offense.
+
+A collection of unintentionally offensive Tweets and replies in which a Tweet in the exchange was offensive to someone, followed by an indication that the poster meant no offense. ConvoKit contains code for converting the data into ConvoKit format, as detailed in the documentation.
 
 * **Tags:** online, asynchronous, outcome, labels, utterance labels, timestamps, Twitter/X, medium size, short conversations, various topics, politeness
 * `Documentation <https://convokit.cornell.edu/documentation/unintended_offense.html>`_
@@ -491,14 +493,15 @@ A collection of unintentionally offensive Tweets and replies in which a Tweet in
    </div>
 
 Ubuntu Chat Logs
--------------
+----------------
 
 .. raw:: html
 
    <div class="dataset-card" data-tags="online, dyadic, asymmetric, synchronous, outcome, labels, utterance labels, speaker info, timestamps, small size, medium conversations, customer support, problem solving, derailment">
 
 A collection of conversations featuring pairs of speakers where one speaker is assisting the other through Ubuntu chat logs to help them solve their problem.
 
+* **Download name:** ``ubuntu-chat-logs``
 * **Tags:** online, dyadic, asymmetric, synchronous, outcome, labels, utterance labels, speaker info, timestamps, small size, medium conversations, customer support, problem solving, derailment
 * `Documentation <https://convokit.cornell.edu/documentation/chatlogs.html>`_
 
@@ -507,14 +510,15 @@ A collection of conversations featuring pairs of speakers where one speaker is a
    </div>
 
 Contextual Abuse Corpus
--------------
+-----------------------
 
 .. raw:: html
 
    <div class="dataset-card" data-tags="online, asynchronous, utterance, labels, timestamps, Reddit, medium size, short conversations, various topics">
 
 A dataset of annotated Reddit entries labeled into one or more of six primary categories of abuse. Secondary categories, labels annotated in the context of the conversation thread, and rationales are also included as part of the dataset.
 
+* **Download name:** ``contextual-abuse``
 * **Tags:** online, asynchronous, utterance, labels, timestamps, Reddit, medium size, short conversations, various topics
 * `Documentation <https://convokit.cornell.edu/documentation/cad.html>`_
 
@@ -523,14 +527,15 @@ A dataset of annotated Reddit entries labeled into one or more of six primary ca
    </div>
 
 NewsInterview Corpus
--------------
+--------------------
 
 .. raw:: html
 
    <div class="dataset-card" data-tags="dyadic, asymmetric, synchronous, speaker info, summaries, timestamps, media, medium size, medium conversations, various topics, interviews, Q&A">
 
 A collection of two-person informational interviews from National Public Radio (NPR) and Cable News Network (CNN), focusing on journalistic interviews between interviewers and sources from 2000 to 2020.
 
+* **Download name:** ``news-interview``
 * **Tags:** dyadic, asymmetric, synchronous, speaker info, summaries, timestamps, media, medium size, medium conversations, various topics, interviews, Q&A
 * `Documentation <https://convokit.cornell.edu/documentation/interview.html>`_
 
@@ -539,14 +544,15 @@ A collection of two-person informational interviews from National Public Radio (
    </div>
 
 Emotional Support Conversation Corpus
--------------
+-------------------------------------
 
 .. raw:: html
 
    <div class="dataset-card" data-tags="online, dyadic, asymmetric, synchronous, outcome, labels, utterance labels, speaker info, medium size, medium conversations, various topics, support">
 
 This dataset contains approximately 1,300 conversations collected between emotional support seekers and supporters.
 
+* **Download name:** ``emotional-support``
 * **Tags:** online, dyadic, asymmetric, synchronous, outcome, labels, utterance labels, speaker info, medium size, medium conversations, various topics, support
 * `Documentation <https://convokit.cornell.edu/documentation/support.html>`_
 

website/docs/source/index.rst

@@ -9,6 +9,10 @@ ConvoKit: Conversational Analysis Toolkit
    :target: https://pypi.org/pypi/convokit/
    :alt: Python versions
 
+.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
+    :target: https://github.com/psf/black
+    :alt: Code style: black
+
 .. image:: https://img.shields.io/badge/license-MIT-green
    :target: https://github.com/CornellNLP/ConvoKit/blob/master/LICENSE.md
    :alt: License
@@ -56,6 +60,7 @@ For an overview, watch our SIGDIAL talk introducing the toolkit:
    :caption: Contents:
    :hidden:
 
+   About <about>
    installation
    datasets
    features