Update README.md

Author: yash-chatha

README.md

@@ -4,13 +4,13 @@
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 [![pypi](https://img.shields.io/pypi/v/convokit.svg)](https://pypi.org/pypi/convokit/)
-[![py\_versions](https://img.shields.io/badge/python-3.9%2B-blue)](https://pypi.org/pypi/convokit/)
+[![py\_versions](https://img.shields.io/badge/python-3.8%2B-blue)](https://pypi.org/pypi/convokit/)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![license](https://img.shields.io/badge/license-MIT-green)](https://github.com/CornellNLP/ConvoKit/blob/master/LICENSE.md)
 [![Discord Community](https://img.shields.io/static/v1?logo=discord&style=flat&color=red&label=discord&message=community)](https://discord.gg/WMFqMWgz6P)
 
 
-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](https://github.com/CornellNLP/ConvoKit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [3.0.1](https://github.com/CornellNLP/ConvoKit/releases/tag/v3.0.1) (released Nov. 8, 2024); follow the [project on GitHub](https://github.com/CornellNLP/ConvoKit) to keep track of updates.
+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](https://github.com/CornellNLP/ConvoKit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [3.0.0](https://github.com/CornellNLP/ConvoKit/releases/tag/v3.0.0) (released July 17, 2023); follow the [project on GitHub](https://github.com/CornellNLP/ConvoKit) to keep track of updates.
 
 Read our [documentation](https://convokit.cornell.edu/documentation) or try ConvoKit in our [interactive tutorial](https://colab.research.google.com/github/CornellNLP/ConvoKit/blob/master/examples/Introduction_to_ConvoKit.ipynb).
 
@@ -149,6 +149,12 @@ This corpus contains conversations between NPR show hosts and their guests.
 
 Name for download: `npr-2p-corpus`
 
+### [DeliData Dataset Corpus](https://convokit.cornell.edu/documentation/deli.html)
+
+This corpus contains conversations in multi-party problem-solving contexts, containing information about group discussions and team performance.
+
+Name for download: `deli-corpus`
+
 ### [Switchboard Dialog Act Corpus](https://convokit.cornell.edu/documentation/switchboard.html)
 
 A collection of 1,155 five-minute telephone conversations between two participants, annotated with speech act tags.
@@ -192,7 +198,7 @@ Name for download: `spolin-corpus`
 In addition to the provided datasets, you may also use ConvoKit with your own custom datasets by loading them into a `convokit.Corpus` object. [This example script](https://github.com/CornellNLP/ConvoKit/blob/master/examples/converting_movie_corpus.ipynb) shows how to construct a Corpus from custom data.
 
 ## Installation
-This toolkit requires Python >= 3.9.
+This toolkit requires Python >= 3.8.
 
 1. Download the toolkit: `pip3 install convokit`
 2. Download Spacy's English model: `python3 -m spacy download en`