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The package includes a compact, fully synthetic and openly redistributable benchmark containing participant and item metadata, binary responses, response times, recordings, gaze samples, events, AOIs, pupil trajectories, quality indicators, and provenance.
library(eyeprocess)
study <- eyeprocess_benchmark_study()
study
#> eyeprocess public benchmark study
#> Path: C:/Users/Stefanos-PC/AppData/Local/Temp/RtmpKAtQFn/Rinst66bc34387d8d/eyeprocess/extdata/benchmark-study
#> Files: 10
#> Status: synthetic, openly redistributable benchmark - not empirical vendor validationThe benchmark tests contracts and reproducibility. It is not real participant data, vendor compatibility evidence, or scientific validation of advanced models.
validation <- validate_benchmark_study(study)
validation$valid
#> [1] TRUE
reproduction <- run_benchmark_reproduction(study)
reproduction$comparison
#> metric observed expected tolerance absolute_error
#> 1 accuracy 0.5520833 0.5520833 1e-10 0.000000e+00
#> 2 aoi_count 3.0000000 3.0000000 0e+00 0.000000e+00
#> 3 gaze_samples 4800.0000000 4800.0000000 0e+00 0.000000e+00
#> 4 items 8.0000000 8.0000000 0e+00 0.000000e+00
#> 5 mean_pupil 3.2497872 3.2497872 1e-10 4.440892e-16
#> 6 mean_response_time 1.3480609 1.3480609 1e-10 0.000000e+00
#> 7 participants 12.0000000 12.0000000 0e+00 0.000000e+00
#> 8 pupil_samples 3840.0000000 3840.0000000 0e+00 0.000000e+00
#> 9 quality_rows 96.0000000 96.0000000 0e+00 0.000000e+00
#> 10 trials 96.0000000 96.0000000 0e+00 0.000000e+00
#> 11 valid_gaze_fraction 0.9637500 0.9637500 1e-10 0.000000e+00
#> passed
#> 1 TRUE
#> 2 TRUE
#> 3 TRUE
#> 4 TRUE
#> 5 TRUE
#> 6 TRUE
#> 7 TRUE
#> 8 TRUE
#> 9 TRUE
#> 10 TRUE
#> 11 TRUEAll source files are fingerprinted. Relational checks ensure that participants, items, trials, events, gaze, and pupil records agree. Expected scalar outputs use explicit numerical tolerances.
write_benchmark_data_dictionary(study, "benchmark-data-dictionary.md")
write_software_paper_reproduction("software-paper-reproduction", study)The reproduction scaffold contains copied benchmark data, an executable R script, expected outputs, a README, and a file/session manifest.
A public empirical benchmark can later be added under an independently reviewed licence. It must remain distinct from this synthetic test asset.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.