% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{long-data}
\alias{long-data}
\alias{ai_long}
\alias{human_long}
\title{Human-AI Vibe Coding Interaction Data (Long Format)}
\format{
Data frames in long format with 9 columns:
\describe{
\item{message_id}{Integer. Turn index.}
\item{project}{Character. Project identifier (Project_1 .. Project_34).}
\item{session_id}{Character. Unique session hash.}
\item{timestamp}{Integer. Unix timestamp for ordering.}
\item{session_date}{Character. Date of the session (YYYY-MM-DD).}
\item{code}{Character. Interaction code (17 action labels).}
\item{cluster}{Character. High-level cluster: Action, Communication,
Directive, Evaluative, Metacognitive, or Repair.}
\item{code_order}{Integer. Order of the code within the session.}
\item{order_in_session}{Integer. Absolute turn order within the session.}
}

\tabular{ll}{
\code{human_long} \tab Human turns only, 10,796 rows \cr
\code{ai_long}    \tab AI turns only, 8,551 rows \cr
}

An object of class \code{data.frame} with 10796 rows and 9 columns.

An object of class \code{data.frame} with 8551 rows and 9 columns.
}
\source{
Saqr, M. (2026). Human-AI vibe coding interaction study.
\url{https://saqr.me/blog/2026/human-ai-interaction-cograph/}
}
\usage{
human_long

ai_long
}
\description{
Coded interaction sequences from 429 human-AI pair programming sessions
across 34 projects, in long format.
}
\examples{
net <- build_network(human_long, method = "tna",
                     action = "code", actor = "session_id",
                     time = "timestamp")
net

}
\keyword{datasets}
