Parsed human decisions from 76 psychology experiments, exposed over MCP for the synth A/B responder.
https://psych.octav.one/mcp
| Experiment | Paradigm | Typed table | Sessions | Decisions |
|---|---|---|---|---|
| peterson2021using/exp1.csv | gamble_prediction | t_peterson2021using_exp1 | 13,735 | 1,097,375 |
| ruggeri2022globalizability/exp1.csv | intertemporal_choice | t_ruggeri2022globalizability_exp1 | 11,937 | 142,236 |
| hebart2023things/exp1.csv | odd_one_out | t_hebart2023things_exp1 | 11,122 | 2,611,240 |
| wulff2018sampling/exp1.csv | risky_choice_experience | t_wulff2018sampling_exp1 | 3,942 | 1,015,249 |
| jansen2021dunningkruger/exp1.csv | metacognition | t_jansen2021dunningkruger_exp1 | 3,192 | 89,376 |
| wulff2018description/exp1.csv | risky_choice_description | t_wulff2018description_exp1 | 1,981 | 28,153 |
| krueger2022identifying/exp1.csv | information_purchase | t_krueger2022identifying_exp1 | 1,755 | 499,728 |
| frey2017cct/exp1.csv | columbia_card_task | t_frey2017cct_exp1 | 1,368 | 613,299 |
| frey2017risk/exp1.csv | balloon_risk | t_frey2017risk_exp1 | 1,331 | 1,496,974 |
| bahrami2020four/exp.csv | bandit | t_bahrami2020four_exp | 869 | 125,952 |
| kumar2023disentangling/exp1.csv | grid_reveal | t_kumar2023disentangling_exp1 | 707 | 321,738 |
| enkavi2019digitspan/exp1.csv | working_memory | t_enkavi2019digitspan_exp1 | 472 | 97,012 |
| enkavi2019recentprobes/exp1.csv | working_memory | t_enkavi2019recentprobes_exp1 | 471 | 34,714 |
| enkavi2019adaptivenback/exp1.csv | working_memory | t_enkavi2019adaptivenback_exp1 | 470 | 200,821 |
| enkavi2019gonogo/exp1.csv | response_inhibition | t_enkavi2019gonogo_exp1 | 463 | 150,517 |
| cox2017information/exp1.csv | recognition_memory | t_cox2017information_exp1 | 424 | 109,201 |
| steingroever2015data/exp1.csv | iowa_gambling | t_steingroever2015data_exp1 | 410 | 41,000 |
| tomov2020discovery/exp5.csv | graph_navigation | t_tomov2020discovery_exp5 | 346 | 76,410 |
| flesch2018comparing/exp1.csv | context_categorization | t_flesch2018comparing_exp1 | 320 | 192,000 |
| tomov2020discovery/exp2.csv | graph_navigation | t_tomov2020discovery_exp2 | 219 | 78,982 |
| plonsky2018when/exp1.csv | gamble_experience | t_plonsky2018when_exp1 | 216 | 162,000 |
| tomov2021multitask/exp1.csv | multitask_rl | t_tomov2021multitask_exp1 | 196 | 39,592 |
| kool2016when/exp2.csv | two_step | t_kool2016when_exp2 | 188 | 45,591 |
| tomov2021multitask/exp3.csv | multitask_rl | t_tomov2021multitask_exp3 | 184 | 37,168 |
| kool2016when/exp1.csv | two_step | t_kool2016when_exp1 | 179 | 21,450 |
| tomov2020discovery/exp7.csv | graph_navigation | t_tomov2020discovery_exp7 | 157 | 53,650 |
| schulz2020finding/exp5.csv | spatial_bandit | t_schulz2020finding_exp5 | 141 | 42,300 |
| zorowitz2023data/exp1.csv | two_step | t_zorowitz2023data_exp1 | 139 | 55,878 |
| wu2023chunking/exp1.csv | sequence_production | t_wu2023chunking_exp1 | 132 | 132,000 |
| levering2020revisiting/exp1.csv | category_learning | t_levering2020revisiting_exp1 | 126 | 20,916 |
| schulz2020finding/exp3.csv | spatial_bandit | t_schulz2020finding_exp3 | 112 | 33,600 |
| schulz2020finding/exp1.csv | spatial_bandit | t_schulz2020finding_exp1 | 110 | 33,000 |
| wu2023chunking/exp2.csv | sequence_production | t_wu2023chunking_exp2 | 106 | 106,000 |
| levering2020revisiting/exp2.csv | category_learning | t_levering2020revisiting_exp2 | 102 | 16,932 |
| schulz2020finding/exp4.csv | spatial_bandit | t_schulz2020finding_exp4 | 99 | 29,700 |
| kool2017cost/exp1.csv | two_step | t_kool2017cost_exp1 | 93 | 18,175 |
| collsiöö2023MCPL/exp3.csv | multi_cue_learning | t_collsioo2023mcpl_exp3 | 88 | 12,144 |
| kool2017cost/exp2.csv | two_step | t_kool2017cost_exp2 | 88 | 34,686 |
| steingroever2015data/exp3.csv | iowa_gambling | t_steingroever2015data_exp3 | 88 | 13,200 |
| garcia2023experiential/exp1.csv | binary_choice_feedback | t_garcia2023experiential_exp1 | 87 | 18,792 |
| garcia2023experiential/exp2.csv | binary_choice_feedback | t_garcia2023experiential_exp2 | 87 | 18,792 |
| garcia2023experiential/exp3.csv | binary_choice_feedback | t_garcia2023experiential_exp3 | 86 | 18,576 |
| garcia2023experiential/exp4.csv | binary_choice_feedback | t_garcia2023experiential_exp4 | 86 | 14,448 |
| badham2017deficits/exp1.csv | categorization | t_badham2017deficits_exp1 | 85 | 29,776 |
| wilson2014humans/exp4.csv | horizon_bandit | t_wilson2014humans_exp4 | 80 | 44,800 |
| sadeghiyeh2020temporal/exp1.csv | horizon_bandit | t_sadeghiyeh2020temporal_exp1 | 78 | 25,336 |
| somerville2017charting/exp1.csv | horizon_bandit | t_somerville2017charting_exp1 | 78 | 43,680 |
| wu2018generalisation/exp1.csv | spatial_bandit | t_wu2018generalisation_exp1 | 78 | 9,360 |
| collsiöö2023MCPL/exp2.csv | multi_cue_learning | t_collsioo2023mcpl_exp2 | 74 | 20,720 |
| gershman2020reward/exp1.csv | stimulus_reward_learning | t_gershman2020reward_exp1 | 74 | 40,539 |
| hilbig2014generalized/exp1.csv | inference | t_hilbig2014generalized_exp1 | 73 | 7,008 |
| zhu2020bayesian/exp2.csv | probability_estimation | t_zhu2020bayesian_exp2 | 73 | 13,140 |
| schulz2020finding/exp2.csv | spatial_bandit | t_schulz2020finding_exp2 | 72 | 21,600 |
| collsiöö2023MCPL/exp1.csv | multi_cue_learning | t_collsioo2023mcpl_exp1 | 70 | 19,600 |
| wilson2014humans/exp3.csv | horizon_bandit | t_wilson2014humans_exp3 | 68 | 38,075 |
| tomov2020discovery/exp4.csv | graph_navigation | t_tomov2020discovery_exp4 | 67 | 18,881 |
| ludwig2023human/exp0.csv | multi_attribute_learning | t_ludwig2023human_exp0 | 59 | 21,150 |
| wise2019acomputational/exp1.csv | aversive_learning | t_wise2019acomputational_exp1 | 57 | 18,240 |
| zhu2020bayesian/exp1.csv | probability_estimation | t_zhu2020bayesian_exp1 | 55 | 6,600 |
| popov2023intent/exp3.csv | memory | t_popov2023intent_exp3 | 47 | 6,866 |
| lefebvre2017behavioural/exp1.csv | bandit | t_lefebvre2017behavioural_exp1 | 44 | 4,224 |
| popov2023intent/exp1.csv | memory | t_popov2023intent_exp1 | 43 | 5,931 |
| popov2023intent/exp2.csv | memory | t_popov2023intent_exp2 | 42 | 5,852 |
| gershman2018deconstructing/exp1.csv | bandit | t_gershman2018deconstructing_exp1 | 40 | 8,000 |
| gershman2018deconstructing/exp2.csv | bandit | t_gershman2018deconstructing_exp2 | 40 | 8,000 |
| wilson2014humans/exp5.csv | horizon_bandit | t_wilson2014humans_exp5 | 39 | 21,840 |
| waltz2020differential/exp1.csv | reward_learning | t_waltz2020differential_exp1 | 36 | 15,290 |
| lefebvre2017behavioural/exp2.csv | bandit | t_lefebvre2017behavioural_exp2 | 33 | 3,168 |
| xiong2023neural/exp1.csv | volatility_bandit | t_xiong2023neural_exp1 | 30 | 141,000 |
| wilson2014humans/exp1.csv | horizon_bandit | t_wilson2014humans_exp1 | 27 | 30,240 |
| feng2021dynamics/exp1.csv | horizon_bandit | t_feng2021dynamics_exp1 | 26 | 29,120 |
| speekenbrink2008learning/exp1.csv | probabilistic_categorization | t_speekenbrink2008learning_exp1 | 23 | 4,600 |
| ludwig2023human/exp1.csv | multi_attribute_learning | t_ludwig2023human_exp1 | 19 | 6,840 |
| ludwig2023human/exp2.csv | multi_attribute_learning | t_ludwig2023human_exp2 | 18 | 6,452 |
| steingroever2015data/exp2.csv | iowa_gambling | t_steingroever2015data_exp2 | 13 | 1,235 |
| wilson2014humans/exp2.csv | horizon_bandit | t_wilson2014humans_exp2 | 7 | 3,920 |