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 …

Nov 3, 2025 · Cornell Conversational Analysis Toolkit (ConvoKit) Documentation This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a …

At the heart of ConvoKit are two key concepts: Corpora and Transformations. At a high level, a Corpus represents a collection of one or more conversations, while a Transformation represents some action …

In this notebook, we cover the key ideas behind ConvoKit, as well as some of its most commonly used methods and functions. Read our documentation for an exhaustive coverage of ConvoKit’s classes …

>>> from convokit import Corpus, download >>> corpus = Corpus(filename=download("movie-corpus"))

Conversations Gone Awry Dataset - Wikipedia version (CGA-WIKI) Dataset details Speaker-level information Utterance-level information Conversational-level information Usage Additional note …

>>> from convokit import Corpus, download >>> corpus = Corpus(filename=download("subreddit-Cornell"))

By default, ConvoKit uses a native Python backend which keeps all data in memory during runtime. This is suitable for most use cases and does not require any additional setup.

An index of useful examples to help you interactively explore ConvoKit’s features. Be sure to take a look at the introductory tutorial before exploring these examples!

This is a Convokit-formatted version of the Switchboard Dialog Act Corpus (SwDA), originally distributed together with the following paper: Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, …