updated some version numbers

CornellNLP · Jul 5, 2021 · 19da017 · 19da017
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diff --git a/README.md b/README.md
@@ -11,7 +11,7 @@
     <img src="https://img.shields.io/pypi/pyversions/convokit" alt="versions"></a>    
 </p>
 
-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/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.4.5](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.4) (released 23 Feb 2021); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) 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/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.5](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.5) (released 06 Jul 2021); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) 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/Cornell-Conversational-Analysis-Toolkit/blob/master/examples/Introduction_to_ConvoKit.ipynb).
 
@@ -31,7 +31,7 @@ Example: [understanding the (mis)use of politeness strategies in conversations g
 
 A framework for characterizing utterances and terms based on their expected conversational context, consisting of model implementations and wrapper pipelines.
 Examples: [deriving question types and other characterizations in British parliamentary question periods](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/parliament_demo.ipynb), 
-[exploration of Switchboard dialog acts corpus](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/switchboard_exploration_demo.ipynb)  [examining Wikipedia talk page discussions](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/wiki_awry_demo.ipynb) and [computing the orientation of justice utterances in the US Supreme Court](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/scotus_orientation_demo.ipynb)
+[exploration of Switchboard dialog acts corpus](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/switchboard_exploration_demo.ipynb),  [examining Wikipedia talk page discussions](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/wiki_awry_demo.ipynb) and [computing the orientation of justice utterances in the US Supreme Court](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/convokit/expected_context_framework/demos/scotus_orientation_demo.ipynb)
 
 <!-- ### [Prompt types](http://www.cs.cornell.edu/~cristian/Asking_too_much.html) <sub><sup>[(API)](https://convokit.cornell.edu/documentation/promptTypes.html)</sup></sub>
 

diff --git a/doc/source/conf.py b/doc/source/conf.py
@@ -63,9 +63,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '2.4'
+version = '2.5'
 # The full version, including alpha/beta/rc tags.
-release = '2.4.5'
+release = '2.5'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

diff --git a/doc/source/index.rst b/doc/source/index.rst
@@ -8,7 +8,7 @@ Cornell Conversational Analysis Toolkit (ConvoKit) Documentation
 
 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/Cornell-Conversational-Analysis-Toolkit#datasets>`_ are included together with scripts exemplifying the use of the toolkit on these datasets.
-More information can be found at our `website <https://convokit.cornell.edu>`_. The latest version is `2.4.5 <https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.4>`_ (released 23 Feb 2021).
+More information can be found at our `website <https://convokit.cornell.edu>`_. The latest version is `2.5 <https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.5>`_ (released 06 Jul 2021).
 
 Contents
 --------

diff --git a/setup.py b/setup.py
@@ -6,7 +6,7 @@
     author_email="[email protected]",
     url="https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit",
     description="Cornell Conversational Analysis Toolkit",
-    version="2.4.5",
+    version="2.5",
     packages=["convokit",
                 "convokit.bag_of_words",
                 "convokit.classifier",