Skip to contents

Coded sequences of human-AI programming interactions from 34 projects across 429 sessions. Actions are coded at two granularity levels (broad categories and fine-grained codes) and split by actor (human, AI, or both combined). The AI datasets contain 428 sessions. Each row is one session and every column is a time step: the columns are named T1, T2, ... Tn and hold the sequential actions. NA indicates the session ended before that time step.

Usage

coding

coding_detailed

ai_coding

ai_detailed

human_ai

human_ai_detailed

Format

coding

429 x 164 data.frame. Human actions by category (9 states: Command, Correct, Frustrate, Inquire, Interrupt, Refine, Request, Specify, Verify).

coding_detailed

429 x 164 data.frame. Human actions by fine-grained code (15 states: Accept, Arguing, Ask, Command, Context, Correction, Direct, Frustration, Interrupt, Refinement, Reject, Request, Specification, Thinking, Verification).

ai_coding

428 x 138 data.frame. AI actions by category (8 states: Ask, Delegate, Execute, Explain, Investigate, Plan, Repair, Report).

ai_detailed

428 x 138 data.frame. AI actions by fine-grained code (18 states: Acknowledge, Apologize, Ask, Comply, Delegate, Diagnose, Escape, Execute, Explain, Hedge, Investigate, Plan, Refuse, Report, Retry, Scaffold, Suggest, Warn).

human_ai

429 x 287 data.frame. Both actors combined, by category (17 states).

human_ai_detailed

429 x 287 data.frame. Both actors combined, by fine-grained code (32 states).

An object of class data.frame with 429 rows and 164 columns.

An object of class data.frame with 429 rows and 164 columns.

An object of class data.frame with 428 rows and 138 columns.

An object of class data.frame with 428 rows and 138 columns.

An object of class data.frame with 429 rows and 287 columns.

An object of class data.frame with 429 rows and 287 columns.

Source

Human-AI programming interaction study, 34 projects, 429 sessions.

Value

Each dataset is a data.frame with one row per session and one character column per time step (T1, T2, ... Tn). It has no identifier columns.

Examples

data(coding)
str(coding, list.len = 6)
#> 'data.frame':	429 obs. of  164 variables:
#>  $ T1  : chr  "Request" "Command" "Specify" "Specify" ...
#>  $ T2  : chr  "Specify" "Request" "Command" "Command" ...
#>  $ T3  : chr  "Command" "Command" "Specify" "Specify" ...
#>  $ T4  : chr  "Correct" "Interrupt" "Interrupt" "Interrupt" ...
#>  $ T5  : chr  "Specify" "Correct" "Request" "Command" ...
#>  $ T6  : chr  "Frustrate" "Request" "Specify" "Request" ...
#>   [list output truncated]
dim(coding)
#> [1] 429 164