A long-format event log of coded AI-side behaviours in human-AI vibe
coding sessions. Each row is one coded AI event, with project/session
identifiers, ordering variables, a fine-grained AI behaviour code, and a
broader behaviour cluster. It is useful for demonstrating lsa()'s
long-format event-log import path.
Format
A data.frame with 8,551 rows and 9 columns:
- message_id
Integer message identifier.
- project
Project identifier.
- session_id
Session identifier.
- timestamp
Unix timestamp in seconds.
- session_date
Session date as
YYYY-MM-DD.- code
Fine-grained AI behaviour code.
- cluster
Broader AI behaviour cluster.
- code_order
Order of multiple codes within the same message.
- order_in_session
Event order within session.
Source
Derived without modification from Nestimate::ai_long
(Nestimate version 0.7.7, MIT license).
Details
The eight AI behaviour codes are Ask, Delegate, Execute, Explain,
Investigate, Plan, Repair, and Report. The three clusters are
Action, Communication, and Repair.
Examples
fit <- lsa(ai_long, session = "session_id",
action = "code", order = "order_in_session")
transitions(fit, significant = TRUE)
#> from to lag count expected prob prob_col
#> 1 Repair Ask 1 13 2.997292 0.051792829 0.134020619
#> 2 Investigate Delegate 1 36 59.431245 0.016107383 0.166666667
#> 3 Plan Delegate 1 73 40.152653 0.048344371 0.337962963
#> 4 Report Delegate 1 10 4.307768 0.061728395 0.046296296
#> 5 Ask Execute 1 26 36.218515 0.285714286 0.008042066
#> 6 Delegate Execute 1 51 111.441586 0.182142857 0.015774822
#> 7 Execute Execute 1 1575 1229.837498 0.509708738 0.487163625
#> 8 Explain Execute 1 129 200.594854 0.255952381 0.039901021
#> 9 Investigate Execute 1 563 889.542657 0.251901566 0.174141664
#> 10 Plan Execute 1 709 600.988551 0.469536424 0.219300959
#> 11 Repair Execute 1 119 99.899421 0.474103586 0.036807918
#> 12 Ask Explain 1 44 5.859042 0.483516484 0.084130019
#> 13 Execute Explain 1 169 198.949895 0.054692557 0.323135755
#> 14 Explain Explain 1 66 32.450080 0.130952381 0.126195029
#> 15 Investigate Explain 1 79 143.900652 0.035346756 0.151051625
#> 16 Repair Explain 1 43 16.160655 0.171314741 0.082217973
#> 17 Report Explain 1 18 10.430383 0.111111111 0.034416826
#> 18 Ask Investigate 1 9 22.528746 0.098901099 0.004475385
#> 19 Delegate Investigate 1 26 69.319217 0.092857143 0.012928891
#> 20 Explain Investigate 1 158 124.774591 0.313492063 0.078567877
#> 21 Investigate Investigate 1 493 553.315893 0.220581655 0.245151666
#> 22 Plan Investigate 1 458 373.828635 0.303311258 0.227747389
#> 23 Ask Plan 1 3 17.980426 0.032967033 0.001869159
#> 24 Delegate Plan 1 174 55.324388 0.621428571 0.108411215
#> 25 Execute Plan 1 358 610.544134 0.115857605 0.223052960
#> 26 Explain Plan 1 35 99.583898 0.069444444 0.021806854
#> 27 Investigate Plan 1 977 441.607165 0.437136465 0.608722741
#> 28 Plan Plan 1 49 298.356519 0.032450331 0.030529595
#> 29 Repair Plan 1 4 49.594362 0.015936255 0.002492212
#> 30 Report Plan 1 5 32.009110 0.030864198 0.003115265
#> 31 Explain Repair 1 42 15.945833 0.083333333 0.163424125
#> 32 Investigate Repair 1 40 70.712175 0.017897092 0.155642023
#> 33 Plan Repair 1 60 47.774221 0.039735099 0.233463035
#> 34 Repair Repair 1 2 7.941278 0.007968127 0.007782101
#> 35 Report Repair 1 14 5.125446 0.086419753 0.054474708
#> 36 Execute Report 1 32 68.852641 0.010355987 0.176795580
#> 37 Explain Report 1 56 11.230334 0.111111111 0.309392265
#> 38 Investigate Report 1 26 49.801182 0.011633110 0.143646409
#> 39 Plan Report 1 56 33.646436 0.037086093 0.309392265
#> 40 Repair Report 1 1 5.592884 0.003984064 0.005524862
#> adj_res p yules_q kappa kappa_z kappa_p
#> 1 5.904423 3.538838e-09 0.6701970 0.10439578 5.934981 2.938803e-09
#> 2 -3.618384 2.964486e-04 -0.3165300 -0.54962803 -5.856764 4.719736e-09
#> 3 5.823103 5.776481e-09 0.3936539 0.07156401 2.587285 9.673542e-03
#> 4 2.807910 4.986414e-03 0.4247396 0.02149115 1.545942 1.221186e-01
#> 5 -2.200760 2.775303e-02 -0.2485887 -0.31070682 -2.439475 1.470864e-02
#> 6 -7.509882 5.918060e-14 -0.5080428 -0.54625277 -7.490787 6.846166e-14
#> 7 16.115668 1.980139e-58 0.3581931 0.16545829 15.299301 7.728241e-53
#> 8 -6.727209 1.729477e-11 -0.3330012 -0.35386354 -6.558922 5.419808e-11
#> 9 -16.574279 1.069371e-61 -0.4226445 -0.36225335 -16.021371 9.062983e-58
#> 10 6.293605 3.101773e-10 0.1782988 0.09151372 5.214398 1.844147e-07
#> 11 2.501984 1.234995e-02 0.1587659 0.13251699 2.749252 5.973140e-03
#> 12 16.382346 2.556890e-60 0.8731108 0.40817795 15.987533 1.560920e-57
#> 13 -2.788815 5.290134e-03 -0.1333215 -0.15351115 -2.845356 4.436185e-03
#> 14 6.287012 3.236349e-10 0.4050275 0.06889677 6.370623 1.882619e-10
#> 15 -6.569668 5.042749e-11 -0.3799991 -0.44360057 -6.389160 1.667992e-10
#> 16 7.011478 2.358143e-12 0.5219490 0.11295778 7.196059 6.197777e-13
#> 17 2.447652 1.437905e-02 0.2971468 0.04065973 2.163890 3.047281e-02
#> 18 -3.304471 9.515580e-04 -0.5030993 -0.66449563 -4.054083 5.033131e-05
#> 19 -6.104322 1.032379e-09 -0.5359986 -0.67473135 -7.189848 6.486332e-13
#> 20 3.540650 3.991420e-04 0.1738796 0.04192412 1.624637 1.042399e-01
#> 21 -3.472051 5.164986e-04 -0.1020983 -0.21474311 -7.380088 1.581853e-13
#> 22 5.562290 2.662577e-08 0.1730405 0.01612206 1.182180 2.371343e-01
#> 23 -3.966173 7.303601e-05 -0.7592752 -0.84004863 -4.064292 4.817849e-05
#> 24 18.126808 1.957990e-73 0.7606295 0.49396057 17.858375 2.487761e-71
#> 25 -14.495212 1.299012e-47 -0.4307714 -0.41999219 -14.730193 4.125282e-49
#> 26 -7.460020 8.650949e-14 -0.5533651 -0.64743544 -7.394828 1.415910e-13
#> 27 33.406415 1.106324e-244 0.7335071 0.45556496 33.405141 1.154465e-244
#> 28 -17.861296 2.360921e-71 -0.8034254 -0.84034484 -18.161834 1.035076e-73
#> 29 -7.341955 2.104961e-13 -0.8807032 -0.91784599 -7.222657 5.098158e-13
#> 30 -5.383304 7.313071e-08 -0.7752337 -0.85418798 -5.615296 1.962264e-08
#> 31 6.846113 7.588334e-12 0.5158153 0.10881272 6.931995 4.149462e-12
#> 32 -4.359323 1.304654e-05 -0.3547938 -0.42559562 -4.223227 2.408296e-05
#> 33 1.992140 4.635566e-02 0.1480891 0.05429843 1.828080 6.753747e-02
#> 34 -2.176364 2.952803e-02 -0.6130016 -0.74107102 -2.123303 3.372847e-02
#> 35 4.023800 5.726663e-05 0.5005555 0.04875854 3.766394 1.656224e-04
#> 36 -5.706192 1.155319e-08 -0.4891965 -0.53597943 -5.717844 1.078838e-08
#> 37 13.950509 3.123680e-44 0.7645397 0.26430961 14.066419 6.108484e-45
#> 38 -4.006326 6.167046e-05 -0.3933988 -0.46986602 -3.895052 9.817764e-05
#> 39 4.319460 1.564112e-05 0.3331230 0.14797479 4.161863 3.156616e-05
#> 40 -1.995155 4.602602e-02 -0.7080392 -0.81617473 -1.953562 5.075298e-02
#> lift sign significant
#> 1 4.33724894 over TRUE
#> 2 0.60574198 under TRUE
#> 3 1.81806169 over TRUE
#> 4 2.32138775 over TRUE
#> 5 0.71786488 under TRUE
#> 6 0.45763886 under TRUE
#> 7 1.28065700 over TRUE
#> 8 0.64308728 under TRUE
#> 9 0.63290950 under TRUE
#> 10 1.17972297 over TRUE
#> 11 1.19119809 over TRUE
#> 12 7.50975984 over TRUE
#> 13 0.84946011 under TRUE
#> 14 2.03389329 over TRUE
#> 15 0.54898987 under TRUE
#> 16 2.66078325 over TRUE
#> 17 1.72572764 over TRUE
#> 18 0.39948962 under TRUE
#> 19 0.37507637 under TRUE
#> 20 1.26628346 over TRUE
#> 21 0.89099194 under TRUE
#> 22 1.22516029 over TRUE
#> 23 0.16684811 under TRUE
#> 24 3.14508678 over TRUE
#> 25 0.58636220 under TRUE
#> 26 0.35146244 under TRUE
#> 27 2.21237353 over TRUE
#> 28 0.16423305 under TRUE
#> 29 0.08065433 under TRUE
#> 30 0.15620553 under TRUE
#> 31 2.63391699 over TRUE
#> 32 0.56567345 under TRUE
#> 33 1.25590744 over TRUE
#> 34 0.25184864 under TRUE
#> 35 2.73146947 over TRUE
#> 36 0.46476068 under TRUE
#> 37 4.98649478 over TRUE
#> 38 0.52207596 under TRUE
#> 39 1.66436647 over TRUE
#> 40 0.17879862 under TRUE