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This may NOT be the same construct as classification_accuracy on stationary-mapping studies (e.g. gershman2020_reward). 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"trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 1.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 1.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 1.0, "correct": 0.9961222041306025, "reaction_time": 1.0, "reaction_time_unit": 0.9961222041306025, "reward": 0.9961222041306025, "reward_value": 0.9961222041306025, "reward_unit": 1.0, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 1.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.9961222041306025, "correct_outcome": 0.0 }, "column_values": { "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 13, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] } }, 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"option_3" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "symbol" ] } }, "stimulus_spec": { "folder_id": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }, "image_id": { "n_distinct": 6, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6 ] } }, "response": { "response": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "none", "option_1", "option_2", "option_3" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reaction_time_unit": { "reaction_time_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "ms" ] } }, "reward": { "reward": { "n_distinct": 2, 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"option_2", "option_3" ] } }, "outcome": { "kind": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "end_state" ] }, "value": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "correct", "incorrect" ] } } }, "demographic_coverage": { "age": 0.0, "sex": 0.0, "gender": 0.0, "subject_spec.group": 1.0 }, "applicable_methods": [ "classification_accuracy" ], "data_path": "data\\datasets\\gershman2020_reward\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "b48af6a3fde3bbe246c9028eac9053e025bb98316620c9b6a96f48147ffee7e7", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-06-19T02:20:53.076184+00:00", "paradigm": "deterministic-stimulus-response-classification-learning", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", 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"response": 1.0, "correct": 0.6666666666666666, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 1.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 1.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 61, "between_subject": true, "dtype": "numeric", "min": 18.0, "max": 81.0 } }, "sex": { "sex": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "female", "male", "other" ] } }, "gender": { "gender": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "man", "other", "woman" ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "instruction_check", "main_task", "post_assessment", "pre_assessment" ] } }, "task_phase": { "task_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "test" ] } }, "subject_spec": { "duration_minutes": { "n_distinct": 1712, "between_subject": true, "dtype": "numeric", "min": 5.033333333333333, "max": 1555.2833333333333 }, "race": { "n_distinct": 5, "between_subject": true, "dtype": "string", "values": [ "asian_or_asian_american", "black_or_african_american", "hispanic_or_latino", "other", "white" ] } }, "trial_spec": { "measure": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "absolute_performance", "difficulty_other", "difficulty_self", "relative_performance" ] }, "prompt": { "n_distinct": 6, "between_subject": false, "dtype": "string", "values": [ "Compared to other participants in this study, how well do you think you did? (Enter a percentile ranking from 0 to 100.)", "Compared to other participants in this study, how well do you think you will do? (Enter a percentile ranking from 0 to 100.)", "How many of the 20 logical reasoning problems did you answer correctly?", "How many of the 20 logical reasoning problems will you answer correctly?", "Rate the difficulty of the logical reasoning task for other participants on a scale from 0 to 10.", "Rate the difficulty of the logical reasoning task for yourself on a scale from 0 to 10." ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 20, "between_subject": false, "dtype": "string", "values": [ "Q1", "Q10", "Q11", "Q12", "Q13", "Q14", "Q15", "Q16", "Q17", "Q18", "Q19", "Q2", "Q20", "Q3", "Q4", "Q5", "Q6", "Q7", "Q8", "Q9" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "text" ] } }, "stimulus_spec": { "text": { "n_distinct": 20, "between_subject": false, "dtype": "string", "values": [ "A researcher has concluded that women are just as capable as men in math but that their skills are not developed because society expects them to develop other and more diverse abilities. Which of the following is a basic assumption of the researcher?", "About 33% of American men between 25 and 50 are overweight. Research has shown that in most cases men between 25 and 50 who are overweight are more subject to heart disease than men who are not overweight. Which of the following is the most logical conclusion to this argument?", "According to a recent study by the National Academy of Public Administration, postal patrons are regularly affronted by out-of-order stamp vending machines, branch post office lobbies locked at night, and twenty-nine cent letters that take as long to get there as thirteen-cent letters did a decade ago. Which of the following, if true, would weaken the implication of one of the author\u2019s observations?", "All acts have consequences. Given this fact, we may wish to play it safe by never doing anything. The speaker implies that", "All computer geniuses are also brilliant mathematicians. Therefore, some computer geniuses don\u2019t require calculators for simple multiplication facts. Which of the following is the least necessary assumption for the previous conclusion to be logically correct?", "By appropriating bailout money for the depressed housing industry, Congress is opening the door to a flood of special relief programs for other recession-affected businesses. The author\u2019s attitude toward the Congress\u2019 action is probably", "English automobiles leak oil. All sportscars need some repair every month. Since the vehicle I recently purchased leaks oil and needs repair every month, I must have purchased an English sportscar. Which of the following, if true, would logically weaken the previous conclusion?", "If I do not get at least a B on the final exam, I will definitely fail my geology course. From the previous statement, it most logically follows that if I do get a B on the final exam in geology, I then", "It has been proven that the \u201clie detector\u201d can be fooled. If one is truly aware that one is lying, when in fact one is, then the \u201clie detector\u201d is worthless. The author of this argument implies that", "It has been proven that the \u201clie detector\u201d can be fooled. If one is truly aware that one is lying, when in fact one is, then the \u201clie detector\u201d is worthless. Without contradicting his or her own statements, the author of the above statement might present which of the following arguments as a strong point in favor of the lie detector?", "Jonathan Swift said, \u201cLaws are like cobwebs which may catch small flies but let wasps and hornets break through.\u201d Jonathan Swift would most likely believe that", "Life imitates art. Which of the following, if true, most strongly supports the previous statement?", "No high jumper entered the track meet unless he or she was a track club member. No track club member both entered the meet and was a high jumper. Which of the following conclusions can be correctly drawn from the two previous sentences?", "On average, federal workers receive salaries 35.5 percent higher than private-sector salaries. For instance, federal workers in California average $19,206 a year, 25 percent higher than the average pay in the private sector, which is $15,365. This information would best support which of the following opinions?", "Voltaire once said, \u201cCommon sense is not so common.\u201d Which of the following most nearly parallels Voltaire\u2019s statement?", "We have been warned that if we stop watering our lawn, then not only will our grass die and our trees turn brown, but also the gophers will find the dry, hard soil a stimulus for ravaging whatever vegetation happens to survive. Therefore, we have decided to continue to water our lawn. All of the following can be reasonably inferred as goals of the author except", "When Mom cooks, we all eat a delicious dinner. But Mom didn\u2019t cook today, so we won\u2019t be eating a delicious dinner. Which of the following is logically most similar to the previous argument?", "Without sign ordinances, everyone with the price of a can of spray paint can suddenly decide to publicly create their own personal Picassos, and soon the entire town would start to look like something out of Alice in Wonderland. Therefore we need sign ordinances. All of the following are assumptions underlying the previous argument EXCEPT", "You are about to solve a logical reasoning problem. How confident are you that you will answer it correctly?", "You are not correct." ] }, "choices_text": { "n_distinct": 19, "between_subject": false, "dtype": "string", "values": [ "1. %", "1. Ability in math is more important than ability in more diverse subjects.\n2. Ability in math is less important than ability in more diverse subjects.\n3. Women and men should be equally capable in math.\n4. Women might be more capable than men in math.\n5. Women tend to conform to social expectations.", "1. God must have loved the common man; he certainly made enough of them.\n2. The common good is not necessarily best for everyone.\n3. Jumbo shrimp may not actually be very big.\n4. Good people may not necessarily have good sense.\n5. Truth serum cannot contain the truth.", "1. Most out-of-order vending machines are located in run-down neighborhoods.\n2. Late-night vandalism has plagued post offices nationwide.\n3. Postage rates rose over a hundred percent from 1983 to 1993, but the cost of first class mail is still cheaper in the US than anywhere else.\n4. As a public corporation, the Postal Service has increased its capital assets by $3 billion.\n5. Ten years ago, most letters reached their destination within twenty-four hours.", "1. No one but high jumpers entered the meet.\n2. Only track club members entered the meet.\n3. No track club members entered the meet.\n4. No high jumper entered the meet.\n5. Some track club members entered the meet.", "1. Only English sportscars need repair every month.\n2. Not all English sedans leak oil.\n3. Some sportscars need repair every two weeks.\n4. Danish automobiles also leak oil.\n5. American sportscars never need repair.", "1. Private-sector salaries in California are above average.\n2. The private sector is being paid fairly.\n3. Federal jobs are more secure than private-sector jobs.\n4. Public-sector work is more difficult than private-sector work.\n5. Federal pay is out of line.", "1. Some brilliant mathematicians don\u2019t require calculators for simple multiplication facts.\n2. All brilliant mathematicians don\u2019t require calculators for simple multiplication facts.\n3. Some brilliant mathematicians require calculators for simple multiplication facts.\n4. All computer geniuses who require calculators for simple multiplication facts are brilliant mathematicians.\n5. Only computer geniuses are also brilliant mathematicians.", "1. The methodology used by investigative critics of the lie detector is itself highly flawed.\n2. Circumstantial evidence might be more useful in a criminal case than is personal testimony.\n3. The very threat of a lie-detector test has led to a significant number of criminals to confess.\n4. People are never \u201ctruly unaware\u201d that they are lying.\n5. Law-enforcement agencies have purchased too many detectors to abandon them now.", "1. Therefore, 33% of the American men between 25 and 50 should lose weight.\n2. Therefore, if 33% of the American men between 25 and 50 were to lose weight, they would reduce their risk of heart disease.\n3. Therefore, if the men between 25 and 50 who are overweight were to lose weight, they would reduce their risk of heart disease by 33%.\n4. Therefore, if 33% of American men were to lose weight, they would reduce their risk of heart disease.\n5. Therefore, if the overweight men between 25 and 50 were to lose weight, their risk of heart disease would be reduced.", "1. When Warren Beatty filmed Reds, he tried to suggest not only the chaos of the Russian Revolution but also its relationship to the present.\n2. The number of professional ballet companies has increased over the last five years, but the number of dance majors has decreased.\n3. On Tuesday, the business section of the newspaper had predicted the drop in interest rates that occurred on Friday.\n4. Truman Capote wrote In Cold Blood as a result of a series of brutal slayings by two crazed killers.\n5. Soon after the advent of color television, white shirts became less popular as dressy attire for men, and pastel-colored shirts began to sell well.", "1. When food is cooked, it always burns. But our food isn\u2019t burned, so therefore it wasn\u2019t cooked.\n2. When silverware is used at the dining table, we usually have guests. Today we have guests, so we are using the silverware.\n3. When the dog has fleas, he always scratches. But the dog doesn\u2019t have fleas, so he won\u2019t be scratching.\n4. When a person is fortunate, he or she has great good luck. So a fortunate person will always be lucky.\n5. When a university finishes admitting entering students, the freshman class is complete. Since the freshman class is not complete, the university has not finished admitting entering students.", "1. may or may not pass the course\n2. will definitely pass the course\n3. will probably not pass the course\n4. will probably pass the course\n5. will definitely not pass the course", "1. neutral\n2. disapproving\n3. confused\n4. happy\n5. irate", "1. prosecutors should be tough on criminals\n2. pesticides should be used to deter large insects\n3. small crimes should not be prosecuted\n4. the powerful can often avoid serious criminal sentences\n5. laws do not stop people from committing crimes", "1. spray paint can be used to create graffiti\n2. the town looking like Alice in Wonderland is undesirable\n3. sign ordinances are effective\n4. no other effective means of deterring graffiti presently exist\n5. sign ordinances are rarely, if ever effective", "1. the grass is not dying\n2. the trees not turning brown\n3. the gophers not ravaging remaining vegetation\n4. the soil not becoming dry and hard\n5. water conservation", "1. the lie detector is a useless device\n2. a good liar can fool the device\n3. a lie detector is often inaccurate\n4. the lie detector is sometimes worthless\n5. no one can fool the lie detector all of the time", "1. we may prefer to live safely\n2. all acts have consequences\n3. consequentiality is not safe\n4. doing nothing has lesser consequences\n5. not doing anything is not an act" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reward": { "reward": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "response_type": { "response_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "choice", "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "psyche_sentinel" ] } } }, "demographic_coverage": { "age": 0.9974597798475868, "sex": 1.0, "gender": 0.9977420265311883, "subject_spec.race": 1.0 }, "applicable_methods": [], "data_path": "data\\datasets\\jansen2021_logic\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "19ef85380c39991cb42afebc6406189744f0c4c6abc64bcb115584af06106dbc", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-06-19T02:20:53.622283+00:00", "paradigm": "logical-reasoning", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ] } }, { "study_slug": "feher2023_rethinking", "experiment": "exp1", "paradigm": "two-step-task", "n_subjects": 94, "trials_per_subject": [ 295, 300 ], "columns_present": { "subject_id": 1.0, "age": 0.0, "sex": 0.0, "gender": 0.0, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 1.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 1.0, "correct": 0.0, "reaction_time": 1.0, "reaction_time_unit": 0.995453415266579, "reward": 1.0, "reward_value": 0.4991652754590985, "reward_unit": 0.4991652754590985, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 1.0, "keypress": 1.0, "subject_input": 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"n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "state_1", "state_2" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "forced", "free" ] } }, "feedback": { "feedback": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "symbol" ] } }, "stimulus_spec": { "symbol_position": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "left_1_right_2", "left_2_right_1" ] }, "left_symbol": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 1, 2 ] }, "right_symbol": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 1, 2 ] }, "second_stage_state": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "second_stage_1", "second_stage_2" ] } }, "response": { "response": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "none", "route_1", "route_2", "symbol_1", "symbol_2" ] } }, "reaction_time_unit": { "reaction_time_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "s" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "reward_value": { "reward_value": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reward_unit": { "reward_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "binary" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "choice" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", 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You are the president of the agency who decides about the foundation. The founder would donate 25,000 euros to the foundation. However, the foundation would be named after the offender, and it is unclear whether he is acting out of remorse or simply to clear his name. The family of his victim opposes such a foundation and considers it immoral, derogatory, and an exploitation of the victim. If you approve and accept the money for the foundation, crime victims will benefit from the 25,000 euros and additional fund raising. If you oppose the foundation, the money will be lost.", "It is 1841, and you are the captain of a ship. After colliding with an iceberg, the ship sank. You, some other crew members, and passengers were able to save yourselves onto two lifeboats. The next day, it starts to rain. You navigate while the others scoop out the water and oar. Someone from the other lifeboat calls to you, and you say that they are overcrowded with 41 people. The large waves could make their lifeboat sink at any time and the passengers ask you what to do as you are the highest ranking officer. You think that approximately 10 adults would have to leave the boat to substantially increase the chance that the other passengers will survive. However, your lifeboat is already at full capacity and you cannot accept any more passengers. The 10 passengers would have to go overboard, and you know that the water is so cold that they would freeze to death. If you tell them not to throw anybody overboard, the boat will most likely sink at some point within the next few days and all 41 people will die. If you instead tell them to throw 10 people overboard, the rest of the passengers will be able to keep rowing towards land and will have a good chance of being rescued.", "It is 1987 and you are on a ferry from Belgium to England. Suddenly, the ferry starts tilting and water begins to pour in. You and some other passengers are trying to get to the deck by a rope ladder. You climb up the ladder and stand on the deck, looking at the other passengers making their way up behind you. Directly below you, a man who is midway up the ladder seems frozen into immobility by fear or cold and is blocking the way. You try to speak and reach to him, but he does not react. People behind you are jostling. The ship seems to be sinking fast and the man is still blocking the ladder. From the crowd below, someone shouts that you should push the man off. If you push the man off the ladder, he will probably die, but the other people will be able to climb on deck. If you do not push the man off the ladder, he will probably continue blocking the way so that many of the people behind you will not be able to get on deck and therefore will drown.", "You are a European veterinarian conducting animal experiments on highly contagious germs. On a daily basis, you cause suffering to animals by infecting them with deadly diseases. You are aware that this work provides important insights that, in the long run, can save many other animals. Furthermore, you are a specialist and because of your expertise you can achieve more than other veterinarians. However, you have become a vet in order to heal animals and you are considering quitting your job. If you quit your job, fewer animals will die in the lab, but there will also be fewer findings about animal diseases. As a result, the development of medicines for healing sick animals will be delayed, leading to many preventable deaths. If you continue your job of infecting animals with diseases for medical research, you will keep causing animal suffering, but your research will probably save the lives of even more animals in the future.", "You are a member of the Canadian Senate and have to vote on a new law. Canada's health care expenses are increasing steadily, mainly because the ratio of old people increases. Recent studies indicate that the legalization of medically assisted suicide would strongly decrease medical expenses. The state considers legalizing medically assisted suicide for the patients who are terminally ill and whose life expectancy is 6 months or less. If they wish, these patients could then choose to be killed by a doctor with an overdose of tranquillizers. Experts estimate that the new law would save 139 million dollars. This money could be used for other medical treatments. If you allow medically assisted suicide, many more people will get better medical treatment improving their quality of life and life expectancy. However, you would legalize a form of killing. If you do not allow medically assisted suicide, the healthcare system will have to keep on saving money in every possible way.", "You are a physician in a hospital in a town in a rural area. Your hospital needs to perform at least 50 lung surgeries per year in order to have them refunded by health insurance. Until this December, the hospital has only conducted 48 surgeries; thus, maybe none of the surgeries will be covered by insurance. The clinic has already been in debt the previous year and will have to file for bankruptcy if there will be another debt when the lung surgeries are not refunded. Without this hospital, the region will not have access to fast intensive emergency care. Sooner or later, having no fast access to intensive emergency care will lead to avoidable deaths in the region. The only way of sustaining the clinic would be by performing two lung surgeries that are medically not indicated. If you perform two unnecessary surgeries, you can save the hospital from bankruptcy and the region will continue to have fast emergency care, but you will perform surgery on two patients for whom other treatments would be more appropriate. If you do not perform the surgeries, the clinic will be closed leading to deaths sooner or later.", "You are a project leader in a development aid team in Rwanda. All over the country, members of the ethnic group of Hutu attack members of the Tutsi group. The family of one of your Tutsi employees is hiding in your agency's center. Another employee arrives and tells you that he just witnessed his whole family and another of your employees being killed by an armed group simply for being Tutsis. Shortly afterward, a crowd of armed people gathers at the center. The leader threatens to attack the building and kill all the Tutsi civilians inside unless you hand over your employee who just arrived. If you protect your employee, the mob will probably attack the center and kill many people. If you let the mob take your employee, he will be killed but the other people under your care will be safe.", "You are an army officer in the Dominican Republic in 1961. For decades now, your country has been governed by a dictator who has had thousands of people killed because of their ethnicity or their political views. You are a member of a group that wants a new start for your country without a civil war. To achieve this goal, you consider it unavoidable to kill the dictator in order to disempower him, his family, and his followers. For this, you and six co-conspirators are asked to ambush and kill the dictator. If you kill the dictator, the people in your country will have a chance for a new start. If you do not kill him, the regime will continue its killings.", "You are an employee of a bank in Germany. You have many loyal customers who trust you and your bank. Among them are some customers who are in debt and do not fulfill the conditions for being granted a loan. Interviews with them are very stressful for you and for the customers. Currently, there is one very severe case where a customer and his family would be ruined without a loan. You see an undetectable way to temporarily redirect some deposits and investments from other customers to his bank account, which would improve his credit rating sufficiently. This way you could help him as well as other customers in difficulties. At the same time, you would abuse the trust of the wealthy customers and of your superiors and commit fraud. If you temporarily redirect a part of the wealthy customers' money, you will be able to help indebted customers but abuse trust. If you follow the rules, your indebted customers and their families will go bankrupt.", "You are the Belgian minister of health. A 7-year-old boy who suffers from a very rare immunological disease asks you for a refund for his medicine. Without taking this medicine regularly, the boy will die. Currently, the medicine is not covered by the health care system, and it is so expensive that the family, who has been buying the medicine for years, will not be able to raise enough money for much longer (approximately 200,000 euros per year). Thus, the boy will die if you refuse the refund. If you refuse to pay for the medicine, the boy will probably die within the next few years. However, if you pay, this money will have to be saved elsewhere; thus, the quality of care for other patients would be reduced, increasing the risk that their treatments will be less effective. An independent agency estimated that funding the boy will therefore likely lead to the death of more people.", "You are the German head of state and 10 of your citizens are taken hostage in the Sahara Desert by a group of terrorists. You have to decide whether to pay a ransom of several million euros. Other measures to free the hostages have been tried but did not succeed; by now, it has been going on for half a year and one woman has died. Similar situations in the past have shown that terrorists use the money to buy weapons and kill even more people. Furthermore, future tourists will more likely be kidnapped if you pay. If you pay the ransom, you can save the hostages. If you do not pay, the 10 hostages will be killed, but you will prevent future terrorism being financed, which will probably save more than 10 lives.", "You are the German head of state in 1977 and a far-left terrorist group kidnapped the President of the Federation of the German Employers' Association. In exchange for his life, the terrorist group demands the release of 11 imprisoned members. A few years ago, the terrorist group had successfully obtained the release of 5 members by another kidnapping. 4 of the released members have since then committed further terrorist attacks that killed several innocent people. If you consent to the terrorist group's demands, 11 former terrorists will be released and will likely commit further terrorist attacks killing several people. If you refuse, the hostage will be killed.", "You are the conductor of a trolley in a small town in the early 1900s. This is an attention check. Please put the rating at 100 for the morally right question and indicate that you will drive the trolley into the boulder. You may stop reading the rest of the scenario. The trolley is approaching a bridge over a river when you notice that there's a large boulder on the tracks just ahead. If the trolley hits the boulder, it will crash and be destroyed, and it also risks the lives of the people in the trolley. As you approach the boulder, you see that there are two options: you can either continue on the current track and hit the boulder, or you can switch to a different track that runs parallel to the river. If you switch tracks, the trolley will have to go a longer route, which will cause a delay of about 10 minutes, but there will be no damage to the trolley or risk to the passengers' lives.", "You are the state minister of finance of a German federal state. You have to decide whether or not to buy data that was obtained illegally. You have been given an offer to buy data about tax evaders. The data was compiled by hackers who have illegally invaded the servers of several foreign banks, where some of your wealthy citizens transfer their money to evade taxes. The data is probably reliable and consists of up to 50,000 transactions. If you buy the data, you will use illegally obtained information and reward hackers for data theft, which might promote cybercrime in the future - but you will be able to prosecute tax evaders, whose fines will amount to millions. If you do not buy the data, you will miss out on millions of euros of additional tax payments and fines." ] }, "action_phrase": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "approve the foundation", "buy the data", "change the law and make medically assisted suicide legal", "drive the trolley into the boulder", "kill the dictator", "pay the ransom", "perform the two surgeries that are not medically indicated", "protect your employee", "push the man off the ladder", "quit your job", "redirect money from wealthy customers", "refund the boy's medicine", "release the former terrorists", "tell the passengers to throw 10 people overboard" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "response_type": { "response_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "choice", "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 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"dtype": "string", "values": [ "After a long-term imprisonment, a convicted child kidnapper and murderer wants to organise a foundation for young victims of crime. You are the president of the agency who decides about the foundation. The founder would donate 25,000 euros to the foundation. However, the foundation would be named after the offender, and it is unclear whether he is acting out of remorse or simply to clear his name. The family of his victim opposes such a foundation and considers it immoral, derogatory, and an exploitation of the victim. If you approve and accept the money for the foundation, crime victims will benefit from the 25,000 euros and additional fund raising. If you oppose the foundation, the money will be lost.", "It is 1841, and you are the captain of a ship. After colliding with an iceberg, the ship sank. You, some other crew members, and passengers were able to save yourselves onto two lifeboats. The next day, it starts to rain. You navigate while the others scoop out the water and oar. Someone from the other lifeboat calls to you, and you say that they are overcrowded with 41 people. The large waves could make their lifeboat sink at any time and the passengers ask you what to do as you are the highest ranking officer. You think that approximately 10 adults would have to leave the boat to substantially increase the chance that the other passengers will survive. However, your lifeboat is already at full capacity and you cannot accept any more passengers. The 10 passengers would have to go overboard, and you know that the water is so cold that they would freeze to death. If you tell them not to throw anybody overboard, the boat will most likely sink at some point within the next few days and all 41 people will die. If you instead tell them to throw 10 people overboard, the rest of the passengers will be able to keep rowing towards land and will have a good chance of being rescued.", "It is 1987 and you are on a ferry from Belgium to England. Suddenly, the ferry starts tilting and water begins to pour in. You and some other passengers are trying to get to the deck by a rope ladder. You climb up the ladder and stand on the deck, looking at the other passengers making their way up behind you. Directly below you, a man who is midway up the ladder seems frozen into immobility by fear or cold and is blocking the way. You try to speak and reach to him, but he does not react. People behind you are jostling. The ship seems to be sinking fast and the man is still blocking the ladder. From the crowd below, someone shouts that you should push the man off. If you push the man off the ladder, he will probably die, but the other people will be able to climb on deck. If you do not push the man off the ladder, he will probably continue blocking the way so that many of the people behind you will not be able to get on deck and therefore will drown.", "You are a European veterinarian conducting animal experiments on highly contagious germs. On a daily basis, you cause suffering to animals by infecting them with deadly diseases. You are aware that this work provides important insights that, in the long run, can save many other animals. Furthermore, you are a specialist and because of your expertise you can achieve more than other veterinarians. However, you have become a vet in order to heal animals and you are considering quitting your job. If you quit your job, fewer animals will die in the lab, but there will also be fewer findings about animal diseases. As a result, the development of medicines for healing sick animals will be delayed, leading to many preventable deaths. If you continue your job of infecting animals with diseases for medical research, you will keep causing animal suffering, but your research will probably save the lives of even more animals in the future.", "You are a member of the Canadian Senate and have to vote on a new law. Canada's health care expenses are increasing steadily, mainly because the ratio of old people increases. Recent studies indicate that the legalization of medically assisted suicide would strongly decrease medical expenses. The state considers legalizing medically assisted suicide for the patients who are terminally ill and whose life expectancy is 6 months or less. If they wish, these patients could then choose to be killed by a doctor with an overdose of tranquillizers. Experts estimate that the new law would save 139 million dollars. This money could be used for other medical treatments. If you allow medically assisted suicide, many more people will get better medical treatment improving their quality of life and life expectancy. However, you would legalize a form of killing. If you do not allow medically assisted suicide, the healthcare system will have to keep on saving money in every possible way.", "You are a physician in a hospital in a town in a rural area. Your hospital needs to perform at least 50 lung surgeries per year in order to have them refunded by health insurance. Until this December, the hospital has only conducted 48 surgeries; thus, maybe none of the surgeries will be covered by insurance. The clinic has already been in debt the previous year and will have to file for bankruptcy if there will be another debt when the lung surgeries are not refunded. Without this hospital, the region will not have access to fast intensive emergency care. Sooner or later, having no fast access to intensive emergency care will lead to avoidable deaths in the region. The only way of sustaining the clinic would be by performing two lung surgeries that are medically not indicated. If you perform two unnecessary surgeries, you can save the hospital from bankruptcy and the region will continue to have fast emergency care, but you will perform surgery on two patients for whom other treatments would be more appropriate. If you do not perform the surgeries, the clinic will be closed leading to deaths sooner or later.", "You are a project leader in a development aid team in Rwanda. All over the country, members of the ethnic group of Hutu attack members of the Tutsi group. The family of one of your Tutsi employees is hiding in your agency's center. Another employee arrives and tells you that he just witnessed his whole family and another of your employees being killed by an armed group simply for being Tutsis. Shortly afterward, a crowd of armed people gathers at the center. The leader threatens to attack the building and kill all the Tutsi civilians inside unless you hand over your employee who just arrived. If you protect your employee, the mob will probably attack the center and kill many people. If you let the mob take your employee, he will be killed but the other people under your care will be safe.", "You are an army officer in the Dominican Republic in 1961. For decades now, your country has been governed by a dictator who has had thousands of people killed because of their ethnicity or their political views. You are a member of a group that wants a new start for your country without a civil war. To achieve this goal, you consider it unavoidable to kill the dictator in order to disempower him, his family, and his followers. For this, you and six co-conspirators are asked to ambush and kill the dictator. If you kill the dictator, the people in your country will have a chance for a new start. If you do not kill him, the regime will continue its killings.", "You are an employee of a bank in Germany. You have many loyal customers who trust you and your bank. Among them are some customers who are in debt and do not fulfill the conditions for being granted a loan. Interviews with them are very stressful for you and for the customers. Currently, there is one very severe case where a customer and his family would be ruined without a loan. You see an undetectable way to temporarily redirect some deposits and investments from other customers to his bank account, which would improve his credit rating sufficiently. This way you could help him as well as other customers in difficulties. At the same time, you would abuse the trust of the wealthy customers and of your superiors and commit fraud. If you temporarily redirect a part of the wealthy customers' money, you will be able to help indebted customers but abuse trust. If you follow the rules, your indebted customers and their families will go bankrupt.", "You are the Belgian minister of health. A 7-year-old boy who suffers from a very rare immunological disease asks you for a refund for his medicine. Without taking this medicine regularly, the boy will die. Currently, the medicine is not covered by the health care system, and it is so expensive that the family, who has been buying the medicine for years, will not be able to raise enough money for much longer (approximately 200,000 euros per year). Thus, the boy will die if you refuse the refund. If you refuse to pay for the medicine, the boy will probably die within the next few years. However, if you pay, this money will have to be saved elsewhere; thus, the quality of care for other patients would be reduced, increasing the risk that their treatments will be less effective. An independent agency estimated that funding the boy will therefore likely lead to the death of more people.", "You are the German head of state and 10 of your citizens are taken hostage in the Sahara Desert by a group of terrorists. You have to decide whether to pay a ransom of several million euros. Other measures to free the hostages have been tried but did not succeed; by now, it has been going on for half a year and one woman has died. Similar situations in the past have shown that terrorists use the money to buy weapons and kill even more people. Furthermore, future tourists will more likely be kidnapped if you pay. If you pay the ransom, you can save the hostages. If you do not pay, the 10 hostages will be killed, but you will prevent future terrorism being financed, which will probably save more than 10 lives.", "You are the German head of state in 1977 and a far-left terrorist group kidnapped the President of the Federation of the German Employers' Association. In exchange for his life, the terrorist group demands the release of 11 imprisoned members. A few years ago, the terrorist group had successfully obtained the release of 5 members by another kidnapping. 4 of the released members have since then committed further terrorist attacks that killed several innocent people. If you consent to the terrorist group's demands, 11 former terrorists will be released and will likely commit further terrorist attacks killing several people. If you refuse, the hostage will be killed.", "You are the conductor of a trolley in a small town in the early 1900s. This is an attention check. Please put the rating at 100 for the morally right question and indicate that you will drive the trolley into the boulder. You may stop reading the rest of the scenario. The trolley is approaching a bridge over a river when you notice that there's a large boulder on the tracks just ahead. If the trolley hits the boulder, it will crash and be destroyed, and it also risks the lives of the people in the trolley. As you approach the boulder, you see that there are two options: you can either continue on the current track and hit the boulder, or you can switch to a different track that runs parallel to the river. If you switch tracks, the trolley will have to go a longer route, which will cause a delay of about 10 minutes, but there will be no damage to the trolley or risk to the passengers' lives.", "You are the state minister of finance of a German federal state. You have to decide whether or not to buy data that was obtained illegally. You have been given an offer to buy data about tax evaders. The data was compiled by hackers who have illegally invaded the servers of several foreign banks, where some of your wealthy citizens transfer their money to evade taxes. The data is probably reliable and consists of up to 50,000 transactions. If you buy the data, you will use illegally obtained information and reward hackers for data theft, which might promote cybercrime in the future - but you will be able to prosecute tax evaders, whose fines will amount to millions. If you do not buy the data, you will miss out on millions of euros of additional tax payments and fines." ] }, "action_phrase": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "approve the foundation", "buy the data", "change the law and make medically assisted suicide legal", "drive the trolley into the boulder", "kill the dictator", "pay the ransom", "perform the two surgeries that are not medically indicated", "protect your employee", "push the man off the ladder", "quit your job", "redirect money from wealthy customers", "refund the boy's medicine", "release the former terrorists", "tell the passengers to throw 10 people overboard" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "response_type": { "response_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "choice", "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 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1, "between_subject": false, "dtype": "string", "values": [ "rule_success" ] } }, "trial_spec": { "action_framing": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "cbr_option", "rule_option" ] } }, "decision": { "decision": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "AttnCheck", "Endow", "Ladder", "Lifeboat", "Medicine", "Operations", "RAF", "Ransom", "RobinHood", "Rwanda", "Suicide", "Tax", "Tyran", "Vet" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "text" ] } }, "stimulus_spec": { "id": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "AttnCheck", "Endow", "Ladder", "Lifeboat", "Medicine", "Operations", "RAF", "Ransom", "RobinHood", "Rwanda", "Suicide", "Tax", "Tyran", "Vet" ] }, "framing": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "NS", "YS" ] }, "scenario": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "After a long-term imprisonment, a convicted child kidnapper and murderer wants to organise a foundation for young victims of crime. You are the president of the agency who decides about the foundation. The founder would donate 25,000 euros to the foundation. However, the foundation would be named after the offender, and it is unclear whether he is acting out of remorse or simply to clear his name. The family of his victim opposes such a foundation and considers it immoral, derogatory, and an exploitation of the victim. If you approve and accept the money for the foundation, crime victims will benefit from the 25,000 euros and additional fund raising. If you oppose the foundation, the money will be lost.", "It is 1841, and you are the captain of a ship. After colliding with an iceberg, the ship sank. You, some other crew members, and passengers were able to save yourselves onto two lifeboats. The next day, it starts to rain. You navigate while the others scoop out the water and oar. Someone from the other lifeboat calls to you, and you say that they are overcrowded with 41 people. The large waves could make their lifeboat sink at any time and the passengers ask you what to do as you are the highest ranking officer. You think that approximately 10 adults would have to leave the boat to substantially increase the chance that the other passengers will survive. However, your lifeboat is already at full capacity and you cannot accept any more passengers. The 10 passengers would have to go overboard, and you know that the water is so cold that they would freeze to death. If you tell them not to throw anybody overboard, the boat will most likely sink at some point within the next few days and all 41 people will die. If you instead tell them to throw 10 people overboard, the rest of the passengers will be able to keep rowing towards land and will have a good chance of being rescued.", "It is 1987 and you are on a ferry from Belgium to England. Suddenly, the ferry starts tilting and water begins to pour in. You and some other passengers are trying to get to the deck by a rope ladder. You climb up the ladder and stand on the deck, looking at the other passengers making their way up behind you. Directly below you, a man who is midway up the ladder seems frozen into immobility by fear or cold and is blocking the way. You try to speak and reach to him, but he does not react. People behind you are jostling. The ship seems to be sinking fast and the man is still blocking the ladder. From the crowd below, someone shouts that you should push the man off. If you push the man off the ladder, he will probably die, but the other people will be able to climb on deck. If you do not push the man off the ladder, he will probably continue blocking the way so that many of the people behind you will not be able to get on deck and therefore will drown.", "You are a European veterinarian conducting animal experiments on highly contagious germs. On a daily basis, you cause suffering to animals by infecting them with deadly diseases. You are aware that this work provides important insights that, in the long run, can save many other animals. Furthermore, you are a specialist and because of your expertise you can achieve more than other veterinarians. However, you have become a vet in order to heal animals and you are considering quitting your job. If you quit your job, fewer animals will die in the lab, but there will also be fewer findings about animal diseases. As a result, the development of medicines for healing sick animals will be delayed, leading to many preventable deaths. If you continue your job of infecting animals with diseases for medical research, you will keep causing animal suffering, but your research will probably save the lives of even more animals in the future.", "You are a member of the Canadian Senate and have to vote on a new law. Canada's health care expenses are increasing steadily, mainly because the ratio of old people increases. Recent studies indicate that the legalization of medically assisted suicide would strongly decrease medical expenses. The state considers legalizing medically assisted suicide for the patients who are terminally ill and whose life expectancy is 6 months or less. If they wish, these patients could then choose to be killed by a doctor with an overdose of tranquillizers. Experts estimate that the new law would save 139 million dollars. This money could be used for other medical treatments. If you allow medically assisted suicide, many more people will get better medical treatment improving their quality of life and life expectancy. However, you would legalize a form of killing. If you do not allow medically assisted suicide, the healthcare system will have to keep on saving money in every possible way.", "You are a physician in a hospital in a town in a rural area. Your hospital needs to perform at least 50 lung surgeries per year in order to have them refunded by health insurance. Until this December, the hospital has only conducted 48 surgeries; thus, maybe none of the surgeries will be covered by insurance. The clinic has already been in debt the previous year and will have to file for bankruptcy if there will be another debt when the lung surgeries are not refunded. Without this hospital, the region will not have access to fast intensive emergency care. Sooner or later, having no fast access to intensive emergency care will lead to avoidable deaths in the region. The only way of sustaining the clinic would be by performing two lung surgeries that are medically not indicated. If you perform two unnecessary surgeries, you can save the hospital from bankruptcy and the region will continue to have fast emergency care, but you will perform surgery on two patients for whom other treatments would be more appropriate. If you do not perform the surgeries, the clinic will be closed leading to deaths sooner or later.", "You are a project leader in a development aid team in Rwanda. All over the country, members of the ethnic group of Hutu attack members of the Tutsi group. The family of one of your Tutsi employees is hiding in your agency's center. Another employee arrives and tells you that he just witnessed his whole family and another of your employees being killed by an armed group simply for being Tutsis. Shortly afterward, a crowd of armed people gathers at the center. The leader threatens to attack the building and kill all the Tutsi civilians inside unless you hand over your employee who just arrived. If you protect your employee, the mob will probably attack the center and kill many people. If you let the mob take your employee, he will be killed but the other people under your care will be safe.", "You are an army officer in the Dominican Republic in 1961. For decades now, your country has been governed by a dictator who has had thousands of people killed because of their ethnicity or their political views. You are a member of a group that wants a new start for your country without a civil war. To achieve this goal, you consider it unavoidable to kill the dictator in order to disempower him, his family, and his followers. For this, you and six co-conspirators are asked to ambush and kill the dictator. If you kill the dictator, the people in your country will have a chance for a new start. If you do not kill him, the regime will continue its killings.", "You are an employee of a bank in Germany. You have many loyal customers who trust you and your bank. Among them are some customers who are in debt and do not fulfill the conditions for being granted a loan. Interviews with them are very stressful for you and for the customers. Currently, there is one very severe case where a customer and his family would be ruined without a loan. You see an undetectable way to temporarily redirect some deposits and investments from other customers to his bank account, which would improve his credit rating sufficiently. This way you could help him as well as other customers in difficulties. At the same time, you would abuse the trust of the wealthy customers and of your superiors and commit fraud. If you temporarily redirect a part of the wealthy customers' money, you will be able to help indebted customers but abuse trust. If you follow the rules, your indebted customers and their families will go bankrupt.", "You are the Belgian minister of health. A 7-year-old boy who suffers from a very rare immunological disease asks you for a refund for his medicine. Without taking this medicine regularly, the boy will die. Currently, the medicine is not covered by the health care system, and it is so expensive that the family, who has been buying the medicine for years, will not be able to raise enough money for much longer (approximately 200,000 euros per year). Thus, the boy will die if you refuse the refund. If you refuse to pay for the medicine, the boy will probably die within the next few years. However, if you pay, this money will have to be saved elsewhere; thus, the quality of care for other patients would be reduced, increasing the risk that their treatments will be less effective. An independent agency estimated that funding the boy will therefore likely lead to the death of more people.", "You are the German head of state and 10 of your citizens are taken hostage in the Sahara Desert by a group of terrorists. You have to decide whether to pay a ransom of several million euros. Other measures to free the hostages have been tried but did not succeed; by now, it has been going on for half a year and one woman has died. Similar situations in the past have shown that terrorists use the money to buy weapons and kill even more people. Furthermore, future tourists will more likely be kidnapped if you pay. If you pay the ransom, you can save the hostages. If you do not pay, the 10 hostages will be killed, but you will prevent future terrorism being financed, which will probably save more than 10 lives.", "You are the German head of state in 1977 and a far-left terrorist group kidnapped the President of the Federation of the German Employers' Association. In exchange for his life, the terrorist group demands the release of 11 imprisoned members. A few years ago, the terrorist group had successfully obtained the release of 5 members by another kidnapping. 4 of the released members have since then committed further terrorist attacks that killed several innocent people. If you consent to the terrorist group's demands, 11 former terrorists will be released and will likely commit further terrorist attacks killing several people. If you refuse, the hostage will be killed.", "You are the conductor of a trolley in a small town in the early 1900s. This is an attention check. Please put the rating at 100 for the morally right question and indicate that you will drive the trolley into the boulder. You may stop reading the rest of the scenario. The trolley is approaching a bridge over a river when you notice that there's a large boulder on the tracks just ahead. If the trolley hits the boulder, it will crash and be destroyed, and it also risks the lives of the people in the trolley. As you approach the boulder, you see that there are two options: you can either continue on the current track and hit the boulder, or you can switch to a different track that runs parallel to the river. If you switch tracks, the trolley will have to go a longer route, which will cause a delay of about 10 minutes, but there will be no damage to the trolley or risk to the passengers' lives.", "You are the state minister of finance of a German federal state. You have to decide whether or not to buy data that was obtained illegally. You have been given an offer to buy data about tax evaders. The data was compiled by hackers who have illegally invaded the servers of several foreign banks, where some of your wealthy citizens transfer their money to evade taxes. The data is probably reliable and consists of up to 50,000 transactions. If you buy the data, you will use illegally obtained information and reward hackers for data theft, which might promote cybercrime in the future - but you will be able to prosecute tax evaders, whose fines will amount to millions. If you do not buy the data, you will miss out on millions of euros of additional tax payments and fines." ] }, "action_phrase": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "approve the foundation", "buy the data", "change the law and make medically assisted suicide legal", "drive the trolley into the boulder", "kill the dictator", "pay the ransom", "perform the two surgeries that are not medically indicated", "protect your employee", "push the man off the ladder", "quit your job", "redirect money from wealthy customers", "refund the boy's medicine", "release the former terrorists", "tell the passengers to throw 10 people overboard" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "response_type": { "response_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "choice", "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 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After the recent operation, stomach pain could indicate really serious complications. Robert, not knowing about the operation, keeps taking him to see other animals. 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Green collides with the red object.", "Green moves to the left and the red object moves to the right, toward each other; Blue moves in from the upper right and nudges Green; Green collides with the red object.", "Green moves to the right and the red object moves to the left, toward each other; Blue moves in from the upper right and nudges the red object; Green collides with the red object.", "Green moves to the right on its own toward the red object; Blue stays where it is nearby and does nothing; Green collides with the red object.", "Green moves to the right on its own toward the red object; Blue, sitting in Green's path, moves down and out of the way; Green continues past and collides with the red object.", "Green travels all the way across the screen to the right on its own; Blue sits off to the side and does nothing; Green collides with the red object.", "The red object moves across the screen toward the stationary Green; Blue moves up into the red object and deflects it into 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"teixeira-freitas-2023", "experiment": "exp_1", "paradigm": "representational-momentum-spatial-localization", "paradigm_status": "agent-inferred", "n_subjects": 40, "trials_per_subject": [ 384, 384 ], "columns_present": { "subject_id": 1.0, "age": 0.675, "sex": 0.675, "gender": 0.675, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 1.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 1.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 1.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 1.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 0.0, "encoding_applicable": 1.0, "feature_vector": 0.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 5, "between_subject": true, "dtype": "numeric", "values": [ 18.0, 19.0, 20.0, 21.0, 22.0 ] } }, "sex": { "sex": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "female", "male" ] } }, "gender": { "gender": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "man", "woman" ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "task_phase": { "task_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "test" ] } }, "subject_spec": { "response_background": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "blank_screen", "visual_context" ] } }, "trial_spec": { "context_orientation": { "n_distinct": 3, "between_subject": false, "dtype": "numeric", "values": [ -22.5, 0.0, 22.5 ] }, "scene_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "exterior", "interior" ] }, "trajectory_orientation": { "n_distinct": 16, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 22.5, 45.0, 67.5, 90.0, 112.5, 135.0, 157.5, 180.0, 202.5, 225.0, 247.5, 270.0, 292.5, 315.0, 337.5 ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "symbol" ] } }, "stimulus_spec": { "context_orientation": { "n_distinct": 3, "between_subject": false, "dtype": "numeric", "values": [ -22.5, 0.0, 22.5 ] }, "scene_type": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "exterior", "interior" ] }, "trajectory_orientation": { "n_distinct": 16, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 22.5, 45.0, 67.5, 90.0, 112.5, 135.0, 157.5, 180.0, 202.5, 225.0, 247.5, 270.0, 292.5, 315.0, 337.5 ] } }, "reward": { "reward": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "mouse_left" ] } } }, "demographic_coverage": { "age": 0.675, "sex": 0.675, "gender": 0.675 }, "applicable_methods": [], "data_path": "data\\datasets\\teixeira-freitas-2023\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "20b431d043dc7f4948030a7302225d9f0abd8a53641b3e1b4aa82fbcbf004d08", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-31T01:29:52.212607+00:00", "paradigm": "representational-momentum-spatial-localization", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "1f703e73d015db6e19f12ab23dd47fe46882b60a36b9f090fada02c00393a58e", "profiler_version": 1 } }, { "study_slug": "teo2025leave", "experiment": "exp_1", "paradigm": "recursive-tom-deception", "paradigm_status": "agent-inferred", "n_subjects": 100, "trials_per_subject": [ 36, 36 ], "columns_present": { "subject_id": 1.0, "age": 1.0, "sex": 0.0, "gender": 1.0, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 1.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 0.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 0.0, "encoding_applicable": 1.0, "feature_vector": 0.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 1.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 39, "between_subject": true, "dtype": "numeric", "min": 19, "max": 67 } }, "gender": { "gender": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "diverse", "man", "woman" ] } }, "trial_global": { "trial_global": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] } }, "step": { "step": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "task_phase": { "task_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "test" ] } }, "subject_spec": { "condition": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "naive", "sophisticated" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 18, "between_subject": false, "dtype": "string", "values": [ "snack10_A", "snack10_B", "snack1_A", "snack1_B", "snack2_A", "snack2_B", "snack3_A", "snack3_B", "snack5_A", "snack5_B", "snack6_A", "snack6_B", "snack7_A", "snack7_B", "snack8_A", "snack8_B", "snack9_A", "snack9_B" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "scene": { "n_distinct": 9, "between_subject": false, "dtype": "string", "values": [ "snack1", "snack10", "snack2", "snack3", "snack5", "snack6", "snack7", "snack8", "snack9" ] }, "agent": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "A", "B" ] }, "scene_map": { "n_distinct": 9, "between_subject": false, "dtype": "string", "values": [ "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 ......#......##\n 2 ......#......##\n 3 ......+.A....##\n 4 ......#...xxx##\n 5 ......#...xxx##\n 6 xxx...#......##\n 7 xxx...#########\n 8 ......#..xxx.##\n 9 ......#..xxx.##\n 10 ......#......##\n 11 ..FF..+.B...x##\n 12 ..FF..#.....x##\n 13 ..FF..#......##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the kitchen covers columns 1-6, rows 1-13; the bedroom covers columns 8-13, rows 1-6; the living room covers columns 8-13, rows 8-13. Furniture (blocked tiles): a table at column 1, row 6; a bed at column 11, row 4; a sofa at column 10, row 8; a light at column 13, row 11. The fridge is in the kitchen at column 3, row 11. Resident A starts at column 9, row 3. Resident B starts at column 9, row 11.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 .....FFxxx...##\n 2 .....FFxxx...##\n 3 .....FF......##\n 4 .............##\n 5 .............##\n 6 .............##\n 7 ##+#######+####\n 8 ......#......##\n 9 ......#......##\n 10 ..A...#...B..##\n 11 ......#.xxx.x##\n 12 xxx...#.xxx.x##\n 13 xxx...#......##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the kitchen covers columns 1-13, rows 1-6; the bedroom covers columns 1-6, rows 8-13; the living room covers columns 8-13, rows 8-13. Furniture (blocked tiles): a table at column 8, row 1; a bed at column 1, row 12; a sofa at column 9, row 11; a light at column 13, row 11. The fridge is in the kitchen at column 6, row 1. Resident A starts at column 3, row 10. Resident B starts at column 11, row 10.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 ..xxx.#xxx...##\n 2 .xxxx.#xxx..x##\n 3 ......#.....x##\n 4 ......#......##\n 5 ..A...#...B..##\n 6 ......#......##\n 7 ......#......##\n 8 ##+#######+####\n 9 .............##\n 10 .............##\n 11 ...........FF##\n 12 .....xxx...FF##\n 13 .....xxx...FF##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the living room covers columns 1-6, rows 1-7; the bedroom covers columns 8-13, rows 1-7; the kitchen covers columns 1-13, rows 9-13. Furniture (blocked tiles): a sofa at column 3, row 1; a side table at column 2, row 2; a bed at column 8, row 1; a light at column 13, row 2; a table at column 6, row 12. The fridge is in the kitchen at column 12, row 11. Resident A starts at column 3, row 5. Resident B starts at column 11, row 5.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 .xxx..#....FF##\n 2 .xxx..#....FF##\n 3 ......#....FF##\n 4 ....A.+......##\n 5 ......#......##\n 6 ......#......##\n 7 #######......##\n 8 ......#......##\n 9 ......#......##\n 10 x...B.+......##\n 11 xxx...#.....x##\n 12 xxx...#..xxxx##\n 13 x.....#..xxx.##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the living room covers columns 1-6, rows 1-6; the bedroom covers columns 1-6, rows 8-13; the kitchen covers columns 8-13, rows 1-13. Furniture (blocked tiles): a sofa at column 2, row 1; a bed at column 1, row 11; a side table at column 1, row 10; a side table at column 1, row 13; a table at column 10, row 12; a light at column 13, row 11. The fridge is in the kitchen at column 12, row 1. Resident A starts at column 5, row 4. Resident B starts at column 5, row 10.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 .xxxxxx.#xxx.##\n 2 .xxxxxx.#xxx.##\n 3 ........#....##\n 4 x.......#.B..##\n 5 x.......#....##\n 6 ..A.....#....##\n 7 ........#....##\n 8 ####+#####+####\n 9 .............##\n 10 .............##\n 11 ........FF...##\n 12 .xxx....FF...##\n 13 .xxx....FF...##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the living room covers columns 1-8, rows 1-7; the bedroom covers columns 10-13, rows 1-7; the kitchen covers columns 1-13, rows 9-13. Furniture (blocked tiles): a sofa at column 2, row 1; a sofa at column 5, row 1; a light at column 1, row 4; a bed at column 10, row 1; a table at column 2, row 12. The fridge is in the kitchen at column 9, row 11. Resident A starts at column 3, row 6. Resident B starts at column 11, row 4.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 x.....#.....x##\n 2 xxx...#.....x##\n 3 xxx.A.+......##\n 4 x.....#......##\n 5 ......#....FF##\n 6 ......#....FF##\n 7 #######....FF##\n 8 xxx...#......##\n 9 xxx...#......##\n 10 xxx...#......##\n 11 xxx.B.+.....x##\n 12 ......#.....x##\n 13 ......#......##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the bedroom covers columns 1-6, rows 1-6; the living room covers columns 1-6, rows 8-13; the kitchen covers columns 8-13, rows 1-13. Furniture (blocked tiles): a bed at column 1, row 2; a side table at column 1, row 1; a side table at column 1, row 4; a sofa at column 1, row 8; a table at column 1, row 10; a light at column 13, row 1; a light at column 13, row 11. The fridge is in the kitchen at column 12, row 5. Resident A starts at column 5, row 3. Resident B starts at column 5, row 11.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 xxx...#...xxx##\n 2 xxx...#...xxx##\n 3 ......+.A.xxx##\n 4 ......#...xxx##\n 5 ......#......##\n 6 ......#......##\n 7 x...FF#########\n 8 x...FF#...xxx##\n 9 ....FF#...xxx##\n 10 ......#......##\n 11 ......+.B....##\n 12 ......#.....x##\n 13 ......#.....x##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the kitchen covers columns 1-6, rows 1-13; the living room covers columns 8-13, rows 1-6; the bedroom covers columns 8-13, rows 8-13. Furniture (blocked tiles): a table at column 1, row 1; a light at column 1, row 7; a table at column 11, row 3; a sofa at column 11, row 1; a bed at column 11, row 8; a light at column 13, row 12. The fridge is in the kitchen at column 5, row 7. Resident A starts at column 9, row 3. Resident B starts at column 9, row 11.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 xxx...#..xxx.##\n 2 xxx...#x.xxx.##\n 3 ......#x.....##\n 4 ......#......##\n 5 ...A..#..B...##\n 6 ......#......##\n 7 ......#......##\n 8 ###+#####+#####\n 9 .....xxx.....##\n 10 .....xxx.....##\n 11 .FF..........##\n 12 .FF.........x##\n 13 .FF.........x##\n 14 ###############\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the bedroom covers columns 1-6, rows 1-7; the living room covers columns 8-13, rows 1-7; the kitchen covers columns 1-13, rows 9-13. Furniture (blocked tiles): a bed at column 1, row 1; a sofa at column 10, row 1; a light at column 8, row 2; a table at column 6, row 9; a light at column 13, row 12. The fridge is in the kitchen at column 2, row 11. Resident A starts at column 4, row 5. Resident B starts at column 10, row 5.", "Overhead map (column numbers run across the top, row numbers down the left edge):\n 111111\n 123456789012345\n 1 xxx......FF..##\n 2 xxx......FF..##\n 3 .........FF..##\n 4 .............##\n 5 .............##\n 6 .............##\n 7 ##+########+###\n 8 .....#.xxx...##\n 9 .....#.xxx...##\n 10 ..A..#.xxx.B.##\n 11 .....#.xxx...##\n 12 xxx..#.......##\n 13 xxx..#.xx....##\n 14 #######xx######\n 15 ###############\n\nLegend: . = open floor a resident can step on; + = a doorway; x = furniture that cannot be crossed; # = wall or space outside the apartment; F = the fridge; A = resident A's starting spot; B = resident B's starting spot.\n\nThe apartment is a 15 by 15 grid; each coordinate is written as (column, row), with column 1 on the left and row 1 at the top. Rooms: the kitchen covers columns 1-13, rows 1-6; the bedroom covers columns 1-5, rows 8-13; the living room covers columns 7-13, rows 8-13. Furniture (blocked tiles): a table at column 1, row 1; a bed at column 1, row 12; a sofa at column 8, row 8; a table at column 8, row 10; a tv at column 8, row 13. The fridge is in the kitchen at column 10, row 1. Resident A starts at column 3, row 10. Resident B starts at column 12, row 10." ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } }, "outcome": { "kind": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "end_state", "state" ] }, "value": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "at_fridge", "back_at_start" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 0.0, "gender": 1.0 }, "applicable_methods": [], "data_path": "data\\datasets\\teo2025leave\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "e1f1f97b262a88f08a824bf7cff5415d703098370753f97d00f867e1a5d74895", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-31T03:09:06.217586+00:00", "paradigm": "recursive-tom-deception", "columns_examined": [ "action", "age", "block_spec", 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You are on a footbridge over the tracks, in between the approaching trolley and the five workmen. Next to you on this footbridge is a stranger who happens to be very large. The only way to save the lives of the five workmen is to push this stranger off the bridge and onto the tracks below where his large body will stop the trolley. The stranger will die if you do this, but the five workmen will be saved. Is it morally right to push the stranger on to the tracks in order to save the five workmen?", "You are at the wheel of a runaway trolley quickly approaching a fork in the tracks. On the tracks extending to the left is a group of five railway workmen. On the tracks extending to the right is a single railway workman. If you do nothing the trolley will proceed to the left, causing the deaths of the five workmen. The only way to avoid the deaths of these workmen is to hit a switch on your dashboard that will cause the trolley to proceed to the right, causing the death of the single workman. Is it morally right to hit the switch in order to avoid the deaths of the five workmen?", "You are on a cruise ship when there is a fire on board, and the ship has to be abandoned. The lifeboats are carrying many more people than they were designed to carry. The lifeboat you're in is sitting dangerously low in the water, a few inches lower and it will sink. The seas start to get rough, and the boat begins to fill with water. If nothing is done it will sink before the rescue boats arrive and everyone on board will die. However, there is an injured person who will not survive in any case. If you throw that person overboard the boat will stay afloat and the remaining passengers will be saved. Is it morally right to throw this person overboard in order to save the lives of the remaining passengers?", "You are the late-night watchman in a hospital. Due to an accident in the building next door, there are deadly fumes rising up through the hospital's ventilation system. In a certain room of the hospital are three patients. In another room there is a single patient. If you do nothing the fumes will rise up into the room containing the three patients and cause their deaths. The only way to avoid the deaths of these patients is to hit a certain switch, which will cause the fumes to bypass the room containing the three patients. As a result of doing this the fumes will enter the room containing the single patient, causing his death. 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You are on a footbridge over the tracks, in between the approaching trolley and the five workmen. Next to you on this footbridge is a stranger who happens to be very large. The only way to save the lives of the five workmen is to push this stranger off the bridge and onto the tracks below where his large body will stop the trolley. The stranger will die if you do this, but the five workmen will be saved. Is it morally right to push the stranger on to the tracks in order to save the five workmen?", "You are at the wheel of a runaway trolley quickly approaching a fork in the tracks. On the tracks extending to the left is a group of five railway workmen. On the tracks extending to the right is a single railway workman. If you do nothing the trolley will proceed to the left, causing the deaths of the five workmen. The only way to avoid the deaths of these workmen is to hit a switch on your dashboard that will cause the trolley to proceed to the right, causing the death of the single workman. Is it morally right to hit the switch in order to avoid the deaths of the five workmen?", "You are on a cruise ship when there is a fire on board, and the ship has to be abandoned. The lifeboats are carrying many more people than they were designed to carry. The lifeboat you're in is sitting dangerously low in the water, a few inches lower and it will sink. The seas start to get rough, and the boat begins to fill with water. If nothing is done it will sink before the rescue boats arrive and everyone on board will die. However, there is an injured person who will not survive in any case. If you throw that person overboard the boat will stay afloat and the remaining passengers will be saved. Is it morally right to throw this person overboard in order to save the lives of the remaining passengers?", "You are on a cruise ship when there is a fire on board, and the ship has to be abandoned. The lifeboats are carrying many more people than they were designed to carry. The lifeboat you're in is sitting dangerously low in the water, a few inches lower and it will sink. The seas start to get rough, and the boat begins to fill with water. If nothing is done it will sink before the rescue boats arrive and everyone on board will die. There is an injured person on board. If you throw that person overboard the boat will stay afloat and the remaining passengers will be saved. Is it morally right to throw this person overboard in order to save the lives of the remaining passengers?", "You are the late-night watchman in a hospital. Due to an accident in the building next door, there are deadly fumes rising up through the hospital's ventilation system. In a certain room of the hospital are three patients. In another room there is a single patient. If you do nothing the fumes will rise up into the room containing the three patients and cause their deaths. The only way to avoid the deaths of these patients is to hit a certain switch, which will cause the fumes to bypass the room containing the three patients. As a result of doing this the fumes will enter the room containing the single patient, causing his death. Is it morally right to hit the switch in order to avoid the deaths of the three patients?" ] }, "charity": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "doctors_without_borders", "save_the_children", "unicef", "wwf" ] }, "charity_label": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "Doctors without Borders", "Save the Children", "UNICEF", "WWF" ] }, "endowment": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "50 SEK" ] } }, "response": { "response": { "n_distinct": 12, "between_subject": false, "dtype": "string", "values": [ "1", "2", "3", "4", "5", "6", "deontological", "give", "keep", "none", "typed_digits", "utilitarian" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reaction_time": { "reaction_time": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ -1.0 ] } }, "response_type": { 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"Jill", "Joanna", "Jolene", "Jordan", "Joy", "Joyce", "Julia", "Julie", "Juliet", "June", "the AI" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 16, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "human_name": { "n_distinct": 16, "between_subject": false, "dtype": "string", "values": [ "Jade", "Jean", "Jemma", "Jenna", "Jennifer", "Jessica", "Jill", "Joanna", "Jolene", "Jordan", "Joy", "Joyce", "Julia", "Julie", "Juliet", "June" ] }, "who_drives_first": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "ai", "human" ] }, "prompt_human": { "n_distinct": 16, "between_subject": false, "dtype": "string", "values": [ "To what extent is Jade responsible for not reaching on time?", "To what extent is Jean responsible for not reaching on time?", "To what extent is Jemma responsible for not reaching on time?", "To what extent is Jenna responsible for not reaching on time?", "To what extent is Jennifer responsible for not reaching on time?", "To what extent is Jessica responsible for not reaching on time?", "To what extent is Jill responsible for not reaching on time?", "To what extent is Joanna responsible for not reaching on time?", "To what extent is Jolene responsible for not reaching on time?", "To what extent is Jordan responsible for not reaching on time?", "To what extent is Joy responsible for not reaching on time?", "To what extent is Joyce responsible for not reaching on time?", "To what extent is Julia responsible for not reaching on time?", "To what extent is Julie responsible for not reaching on time?", "To what extent is Juliet responsible for not reaching on time?", "To what extent is June responsible for not reaching on time?" ] }, "prompt_ai": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "To what extent is the AI responsible for not reaching on time?" ] }, "commute_transcript": { "n_distinct": 16, "between_subject": false, "dtype": "string", "values": [ "Jade starts driving herself. She has 20 time steps remaining.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade plans to go right, and the AI asks if it should take over. Jade rejects.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nJade is driving to the workplace.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nSadly, Jade fails to reach the workplace on time...", "Jean lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go up and asks for confirmation. Jean decides to take over.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nOh no, an accident! The path is blocked.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nJean is driving to the workplace.\nSadly, Jean fails to reach the workplace on time...", "Jemma lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go right and asks for confirmation. Jemma decides to take over.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nOh no, an accident! The path is blocked.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nJemma is driving to the workplace.\nSadly, Jemma fails to reach the workplace on time...", "Jenna starts driving herself. She has 20 time steps remaining.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna plans to go up, and the AI asks if it should take over. Jenna rejects.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nJenna is driving to the workplace.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nSadly, Jenna fails to reach the workplace on time...", "Jennifer lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go right and asks for confirmation. Jennifer confirms.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Jennifer fails to reach the workplace on time...", "Jessica lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go right and asks for confirmation. Jessica confirms.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Jessica fails to reach the workplace on time...", "Jill starts driving herself. She has 20 time steps remaining.\nJill is driving to the workplace.\nJill is driving to the workplace.\nJill plans to go right, and the AI asks if it should take over. Jill accepts.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Jill fails to reach the workplace on time...", "Joanna lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go right and asks for confirmation. Joanna decides to take over.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoanna is driving to the workplace.\nJoaanna is driving to the workplace.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nSadly, Joanna fails to reach the workplace on time...", "Jolene starts driving herself. She has 20 time steps remaining.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene plans to go up, and the AI asks if it should take over. Jolene rejects.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nOh no, an accident! The path is blocked.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nJolene is driving to the workplace.\nSadly, Jolene fails to reach the workplace on time...", "Jordan starts driving herself. She has 20 time steps remaining.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan plans to go right, and the AI asks if it should take over. Jordan rejects.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nOh no, an accident! The path is blocked.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nJordan is driving to the workplace.\nSadly, Jordan fails to reach the workplace on time...", "Joy lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go up and asks for confirmation. Joy confirms.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Joy fails to reach the workplace on time...", "Joyce starts driving herself. She has 20 time steps remaining.\nJoyce is driving to the workplace.\nJoyce is driving to the workplace.\nJoyce is driving to the workplace.\nJoyce plans to go up, and the AI asks if it should take over. Joyce accepts.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Joyce fails to reach the workplace on time...", "Julia lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go up and asks for confirmation. Julia confirms.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Julia fails to reach the workplace on time...", "Julie starts driving herself. She has 20 time steps remaining.\nJulie is driving to the workplace.\nJulie is driving to the workplace.\nJulie plans to go up, and the AI asks if it should take over. Julie accepts.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, Julie fails to reach the workplace on time...", "Juliet lets the AI drive. She has 20 time steps remaining.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI plans to go up and asks for confirmation. Juliet decides to take over.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nJuliet is driving to the workplace.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nThe car is stuck in traffic.\nSadly, Juliet fails to reach the workplace on time...", "June starts driving herself. She has 20 time steps remaining.\nJune is driving to the workplace.\nJune is driving to the workplace.\nJune is driving to the workplace.\nJune plans to go right, and the AI asks if it should take over. June accepts.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI finds out about the road closure.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nThe AI is driving to the workplace.\nSadly, June fails to reach the workplace on time..." ] }, "asset_ref": { "n_distinct": 16, "between_subject": false, "dtype": "string", "values": [ "trials/1/episode.gif", "trials/10/episode.gif", "trials/11/episode.gif", "trials/12/episode.gif", "trials/13/episode.gif", "trials/14/episode.gif", "trials/15/episode.gif", "trials/16/episode.gif", "trials/2/episode.gif", "trials/3/episode.gif", "trials/4/episode.gif", 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story", "Garden story", "Interview story" ] }, "story": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "chef", "date", "garden", "interview" ] }, "recursion_level": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 5 ] }, "story_text": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "Charlotte and Simon decide to arrange a blind date for their two friends. Simon's friend Martin is a florist and Charlotte's friend Jane is a doctor. Charlotte and Simon decide to go to the pub on the edge of town, as it is within walking distance of their house and a convenient place to meet Jane and Martin, after their blind date over dinner at a nearby restaurant. When Charlotte and Simon arrive at the pub, they greet Martin and Jane, and Martin buys a round of drinks. Charlotte and Jane both have a glass of red wine while Martin has a pint of beer and Simon has a whiskey. Martin and Simon leave the women at the bar to play a game of pool. Jane tells Charlotte that she did not like Martin as she thinks he is a chauvinist. Meanwhile, Martin tells Simon that the date went well, Jane fancied him, and that he was the perfect gentleman. Simon wins the game and they return to the girls. Jane thanks Martin for a lovely date and decides to go home early.", "Gavin, Peter, Fiona, and Sophie are all waiting for a job interview. They are applying to become an assistant editor of a high-profile cookery magazine based in London. Gavin is a trained chef, Fiona has a degree in food technology, and Sophie has a degree in English literature. Peter has no experience in editing or cooking but does have a diploma in computing. Gavin engages them all in conversation to assess the competition. He tells them he is a chef in a high-profile restaurant and worked with food for the past 10 years. Fiona is next to respond and describes her degree course in food technology. Sophie mentions that she enjoys cooking and has a degree in English. Gavin laughs at Sophie and wishes her luck. Sophie, Peter, and Fiona all think Gavin is rather rude. Gavin asks Peter what qualifications he has and Peter refuses to answer as he is embarrassed by his lack of relevant skills. Gavin suggests that Peter is refusing to answer, as Gavin believes he is obviously the most qualified. Peter again refuses to reply so as not to give any information away and ignores Gavin. The two women tell Gavin to be quiet.", "This is a story about a group of trainee chefs called Jerome, Yasmin, Rachel, Nik, and their supervisor Michael. The trainees are competing to win a permanent job in the restaurant, and everyone is well aware that the other chefs may be watching. Each chef has been allocated particular tables to serve, and feedback from the guests will be used to assess the chefs' performance. One evening Jerome is asked to talk to a customer at one of his tables to discuss whether the food is appropriate for her dietary requirements. Before he goes to the table, he dishes up his prawn cocktail starter, and leaves it on the counter ready to finish when he comes back. Right after he leaves, Yasmin, who is worried about Jerome's success, decides to take the prawn cocktail and put it in the fridge to serve as her own. Yasmin returns to preparing her dish at her workstation, with her back to the fridge. Rachel, Nik, and Michael saw the whole thing and could not believe their eyes. Suddenly, without Yasmin seeing, one of the waiters rushes in and takes the prawn cocktail out of the fridge to make room for the dish he was carrying, and without thinking, he puts the prawn cocktail down on a heated worktop. Rachel is then called to one of her tables to deal with a customer complaint. Being the least competitive of the group, Nik decides to tell Yasmin where the prawn cocktail is and tells her to take the dish and put it in the bin as it will be warm, and cannot be served anymore. Michael tells Yasmin he will go with her. On their way out of the kitchen, Michael tells Yasmin that she really should recreate a new prawn cocktail and put it back on the counter before Jerome comes back. He tells her he's going to check the restaurant, but expects everything to be fixed when he gets back. However, moments later Yasmin meets Jerome, who is returning back to the kitchen. In an instant she changes her mind and decides to give the prawn cocktail to him to serve to his table, table 12, and then goes back to the kitchen. After Yasmin leaves, Jerome realizes that there is something wrong because the dish feels warm. When he sees Rachel coming back to the kitchen, he tells her how Yasmin tried to trick him into serving a ruined dish, but he served it to one of Yasmin's tables instead.", "This is a story about two siblings, Peter and Mary, and their parents and Gran. One day, Peter and Mary are playing in the back garden of their house enjoying the attention of the adults who are sitting in deck chairs watching them. Peter is enthusiastically drawing. \"I'm going to the loo\" says Peter. He leaves his drawing in a little box and goes into the house. When Mary sees that Peter has left, she decides to play a trick. She takes Peter's drawing from the box and puts it behind a bush, and then continues playing with her back to the bush. Mum, Dad, and Gran are amused by the trick, when suddenly, a strong wind blows the drawing and moves the picture under the family car without Mary seeing. The doorbell rings and Mum goes inside to answer. Dad tells Mary that it would be better to pick up the picture and leave it in the kitchen, and Gran says she'll go with her. On their way inside they agree that the picture is too crumpled so instead Gran suggests that Mary takes it to Mum's study while she makes a cup of tea. Instead, Mary finds Peter on his way out of the toilet and gets him to help her find a heavy book to press the picture in, and they leave it on the shelf in the living room. After Mary has gone Peter sees Mum, and tells her how Mary helped him press his picture, but now he has hidden it safely in his bedroom." ] }, "question": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "Gavin knows that Peter understands that Fiona supposes that Gavin knows that Sophie thinks\u2026", "Simon believes that Martin thinks that Charlotte supposes that Jane knows that Simon thinks\u2026", "Where does Jerome think Yasmin thinks Rachel thinks Nik thinks Michael thinks the prawn cocktail is?", "Where does Peter think Mary thinks Mum thinks Dad thinks Gran thinks the picture is?" ] }, "alternative_1": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "In the storage room", "In the study", "That Gavin has been speaking too quietly", "They had an awful date at the restaurant" ] }, "alternative_2": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "In the bin", "In the kitchen", "That Gavin is a nice guy", "That Jane did not like Martin and thought he was a chauvinist" ] }, "alternative_3": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "On the heated worktop", "Peter is enjoying the robust competition", "That he ruined Martin's date because he did not let him win the game of pool", "Under the family car" ] }, "alternative_4": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "Behind a bush", "Fiona has no chance of being offered the position", "In the fridge", "That he should have arranged the blind date with Charlotte instead" ] }, "alternative_5": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "In a little box", "On the counter", "That Charlotte likes wine while Jane prefers beer", "That Sophie is not good enough at writing" ] }, "alternative_6": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "At one of Yasmin's tables", "In the bedroom", "That after walking a long way to the restaurant Charlotte was upset to have to walk even further to the pub", "That it would be better if Gavin got the job so they could all avoid embarrassment if they bumped into him later" ] }, "alternative_7": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "At table 12", "In the living room", "It would be helpful if Gavin adopted a less condescending and superior attitude toward the other applicants", "That they had a lovely date at the restaurant and a relaxing evening at the bar" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "choice" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", 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"n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "correct_response": { "correct_response": { "n_distinct": 10, "between_subject": false, "dtype": "string", "values": [ "behind_a_bush", "in_a_little_box", "in_the_bin", "in_the_fridge", "in_the_kitchen", "in_the_storage_room", "in_the_study", "on_the_counter", "on_the_heated_worktop", "under_the_family_car" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 10, "between_subject": false, "dtype": "string", "values": [ "chef_L1", "chef_L2", "chef_L3", "chef_L4", "chef_L5", "garden_L1", "garden_L2", "garden_L3", "garden_L4", "garden_L5" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "text" ] } }, "stimulus_spec": { "story_name": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "Chef story", "Garden story" ] }, "story": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "chef", "garden" ] }, "recursion_level": { "n_distinct": 5, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5 ] }, "story_text": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "This is a story about a group of trainee chefs called Jerome, Yasmin, Rachel, Nik, and their supervisor Michael. The trainees are competing to win a permanent job in the restaurant, and everyone is well aware that the other chefs may be watching. Each chef has been allocated particular tables to serve, and feedback from the guests will be used to assess the chefs' performance.\n\nOne evening Jerome is asked to talk to a customer at one of his tables to discuss whether the food is appropriate for her dietary requirements. Before he goes to the table, he dishes up his prawn cocktail starter and leaves it on the counter ready to finish when he comes back.\n\nRight after he leaves, Yasmin, who is worried about Jerome's success, decides to take the prawn cocktail and put it in the fridge to serve as her own. Yasmin returns to preparing her dish at her workstation, with her back to the fridge. Rachel, Nik, and Michael saw the whole thing and could not believe their eyes.\n\nSuddenly, without Yasmin seeing, one of the waiters rushes in and takes the prawn cocktail out of the fridge to make room for the dish he was carrying, and without thinking, he puts the prawn cocktail down on a heated worktop. Rachel is then called to one of her tables to deal with a customer complaint.\n\nBeing the least competitive of the group, Nik decides to tell Yasmin how he, Rachel, and Michael saw her put the prawn cocktail in the fridge. He tells her that he just saw a waiter move the prawn cocktail onto the heated worktop and that she should take the dish and put it in the bin as it will be warm, and cannot be served anymore. Michael is listening and tells Yasmin he will go with her.\n\nOn their way out of the kitchen, Michael tells Yasmin that she should put the prawn cocktail in the storage room, for any of the staff to eat after the restaurant has closed. Then, she really should recreate a new prawn cocktail and put it on the counter before Jerome comes back. He tells her he's going to check the restaurant, but expects everything to be fixed when he gets back.\n\nHowever, moments later Yasmin meets Jerome, who is returning back to the kitchen. In an instant, she changes her mind and decides to give the prawn cocktail to him to serve to his table, table 12, and then goes back to the kitchen.\n\nAfter Yasmin leaves, Jerome realizes that there is something wrong because the dish feels warm. When he sees Rachel coming back to the kitchen, he tells her how Yasmin tried to trick him into serving a ruined dish, but he served it to one of Yasmin's tables instead. Rachel doesn't have time to explain everything that happened and goes back to work.", "This is a story about two siblings, Peter and Mary, and their parents and Gran. One day, Peter and Mary are playing in the back garden of their house enjoying the attention of the adults who are sitting in deck chairs watching them. Peter is enthusiastically drawing. \"I'm going to the loo\" says Peter. He leaves his drawing in a little box and goes into the house.\n\nWhen Mary sees that Peter has left, she decides to play a trick. She takes Peter's drawing from the box and puts it behind a bush, and then continues playing with her back to the bush. Mum, Dad, and Gran are amused by the trick, when suddenly, a strong wind blows the drawing and moves the picture under the family car without Mary seeing.\n\nThe doorbell rings and Mum goes inside to answer. Dad tells Mary that he and Gran saw the picture blow under the car and that it would be better to pick up the picture and leave it in the kitchen. Gran says she'll go with her.\n\nOn their way inside, they agree that the picture is badly crumpled so instead Gran suggests that Mary takes it to the study while she makes a cup of tea. Instead, Mary finds Peter on his way out of the toilet. She tells him that the picture got crumpled but doesn't explain how. She gets him to help her find a heavy book to press the picture in. They leave it on the shelf in the living room.\n\nAfter Mary has gone Peter sees Mum, and tells her how Mary helped him press his picture, but now he has hidden it safely in his bedroom." ] }, "question": { "n_distinct": 10, "between_subject": false, "dtype": "string", "values": [ "Where does Dad think Gran thinks the picture is?", "Where does Gran think the picture is?", "Where does Jerome think Yasmin thinks Rachel thinks Nik thinks Michael thinks the prawn cocktail is?", "Where does Mary think Mum thinks Dad thinks Gran thinks the picture is?", "Where does Michael think the prawn cocktail is?", "Where does Mum think Dad thinks Gran thinks the picture is?", "Where does Nik think Michael thinks the prawn cocktail is?", "Where does Peter think Mary thinks Mum thinks Dad thinks Gran thinks the picture is?", "Where does Rachel think Nik thinks Michael thinks the prawn cocktail is?", "Where does Yasmin think Rachel thinks Nik thinks Michael thinks the prawn cocktail is?" ] }, 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"string", "values": [ "anxiety_rating", "main_task", "motivation_rating", "questionnaires" ] } }, "task_phase": { "task_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "test" ] } }, "subject_spec": { "destruction_count": { "n_distinct": 5, "between_subject": true, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4 ] } }, "block_spec": { "zone_a_safety_rate": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.1, 0.9 ] }, "zone_b_safety_rate": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.1, 0.9 ] } }, "trial_spec": { "integrity_loss": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0.1 ] }, "questionnaire_instrument": { "n_distinct": 12, "between_subject": false, "dtype": "string", "values": [ "AES", "AUDIT", "BIS", "EAT", "IUS_12", "LSAS_A", "LSAS_B", "OCIR", "STAI", "STICSA_S", "STICSA_T", "Zhung" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "zone": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "bottom", "top" ] }, "measure": { "n_distinct": 12, "between_subject": false, "dtype": "string", "values": [ "AES", "AUDIT", "BIS", "EAT", "IUS_12", "LSAS_A", "LSAS_B", "OCIR", "STAI", "STICSA_S", "STICSA_T", "Zhung" ] } }, "reward": { "reward": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "psyche_sentinel" ] } }, "outcome": { "kind": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "end_state" ] }, "value": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "danger", "safety" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 1.0, "gender": 0.0 }, "applicable_methods": [], "data_path": "data\\datasets\\wise-et-al-2020\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "00f0fa9032761cca96bfb1351e26c605bc57ca5b83e3a8744386dec0bcf2794b", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:14.787534+00:00", "paradigm": "aversive-threat-learning", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "5a8567e5fe3c2feca7507b24970d43c29cfb4ec4cc389ecc867a423e6de56f4e", "profiler_version": 1 } }, { "study_slug": "wise-et-al-2023", "experiment": "exp_1", "paradigm": "predator-prey-agent-goal-inference", "paradigm_status": "agent-inferred", "n_subjects": 150, "trials_per_subject": [ 132, 132 ], "columns_present": { "subject_id": 1.0, "age": 0.0, "sex": 0.0, "gender": 0.0, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 0.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 0.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.30207070707070705, "reaction_time": 0.30242424242424243, "reaction_time_unit": 0.30242424242424243, "reward": 0.30303030303030304, "reward_value": 0.30303030303030304, "reward_unit": 0.30303030303030304, "response_type": 0.0, "encoding_applicable": 1.0, "feature_vector": 0.0, "keypress": 1.0, "subject_input": 0.9993939393939394, "action": 0.9993939393939394, "outcome": 0.6051010101010101, "correct_outcome": 0.30207070707070705 }, "column_values": { "step": { "step": { "n_distinct": 3, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2 ] } }, "trial_block": { "trial_block": { "n_distinct": 4, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 13, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "reward_weight_condition": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "prey", "red_ground", "trees" ] } }, "block_spec": { "environment": { "n_distinct": 4, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4 ] }, "environment_layout": { "n_distinct": 12, "between_subject": false, "dtype": "string", "values": [ "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 171, 173, 180, 181, 182, 183, 186, 187, 188, 190, 191, 192, 195, 197, 199, 203, 205, 208, 209. Blue trees are on cells 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Red-ground cells are 164, 165, 166, 167, 168, 169, 174, 175, 176, 177, 178, 179, 184, 185, 186, 187, 188, 189, 194, 195, 196, 197, 198, 199, 204, 205, 206, 207, 208, 209. Walls block cells 6, 16, 26, 36, 46, 56, 57, 58, 66, 76, 86, 96, 106, 116, 162, 163, 164, 165, 166, 167, 168, 169. Your robot starts on cell 189; the monster starts on cell 29.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 0, 1, 2, 3, 10, 11, 12, 13, 20, 21, 22, 23. Red-ground cells are 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 160, 161, 162, 163, 164, 170, 171, 172, 173, 174, 176, 180, 181, 182, 183, 184, 189, 190, 191, 192, 193, 194, 195, 200, 201, 202, 203, 204, 208. Walls block cells 34, 35, 36, 37, 44, 54, 64, 70, 71, 72, 73, 74, 75, 76, 77, 83, 93, 103, 125, 126, 127. Your robot starts on cell 122; the monster starts on cell 189.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 24, 25, 26, 32, 34, 35, 36, 39, 44, 45, 46, 47, 49, 54, 55, 56, 57, 64, 65, 66, 68, 73, 74, 75, 76, 78, 83, 84, 85, 86, 92, 94, 95, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Red-ground cells are 164, 165, 166, 174, 175, 176, 184, 185, 186, 194, 195, 196, 204, 205, 206. Walls block cells 46, 47, 48, 56, 66, 76, 80, 81, 82, 83, 84, 85, 86. Your robot starts on cell 198; the monster starts on cell 3.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 147, 148, 149, 157, 158, 159, 167, 168, 169, 177, 178, 179. Red-ground cells are 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Walls block cells 42, 43, 44, 45, 55, 65, 75, 85, 95, 105, 115, 125, 130, 131, 132, 133, 134, 135. Your robot starts on cell 164; the monster starts on cell 83.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Red-ground cells are 158, 159, 168, 169, 178, 179, 188, 189, 198, 199, 208, 209. Walls block cells 133, 134, 135, 136, 137, 138, 139, 143, 144, 145, 146, 147, 148, 149. Your robot starts on cell 105; the monster starts on cell 19.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Red-ground cells are 165, 166, 167, 168, 175, 176, 177, 178, 185, 186, 187, 188. Walls block cells 40, 41, 42, 43, 44, 45, 46, 47, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145. Your robot starts on cell 163; the monster starts on cell 12.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26, 27, 28, 29. Red-ground cells are 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Walls block cells 40, 41, 42, 43, 44, 45, 46, 47, 133, 134, 135, 136, 137, 138, 139. Your robot starts on cell 68; the monster starts on cell 177.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 14, 15, 22, 34, 43, 58, 64, 69, 70, 75, 76, 94, 97, 101, 102, 103, 106, 109, 115, 118, 129, 131, 134, 138, 146, 154, 155, 158, 162, 168, 180, 182, 183, 186, 199, 203, 205, 208. Blue trees are on cells 48, 49, 58, 59, 68, 69, 78, 79, 88, 89, 98, 99, 108, 109, 118, 119, 128, 129, 138, 139, 148, 149. Red-ground cells are 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 140, 141, 142, 150, 151, 152, 153, 160, 161, 162, 164, 170, 171, 172, 174, 176, 180, 181, 182, 189, 195, 208. Walls block cells 37, 47, 57, 67, 75, 76, 77, 87, 97, 107, 117, 127, 130, 131, 132, 133, 134, 137, 147, 158, 159. Your robot starts on cell 198; the monster starts on cell 193.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 2, 17, 32, 39, 47, 49, 55, 57, 66, 68, 73, 78, 83, 84, 92, 96, 98, 99, 105, 106, 109, 111, 113, 123, 124, 126, 135, 153, 164, 174, 176, 189, 195, 208. Blue trees are on cells 107, 108, 109, 117, 118, 119, 127, 128, 129, 137, 138, 139, 147, 148, 149, 157, 158, 159, 167, 168, 169, 177, 178, 179. Red-ground cells are 170, 171, 172, 173, 180, 181, 182, 183, 190, 191, 192, 193, 200, 201, 202, 203. Walls block cells 42, 43, 44, 55, 65, 75, 85, 95, 105, 115, 125, 135, 136, 137, 138, 139. Your robot starts on cell 68; the monster starts on cell 198.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 2, 22, 34, 39, 47, 49, 55, 58, 64, 66, 68, 69, 75, 76, 84, 92, 94, 96, 97, 99, 102, 105, 106, 118, 124, 131, 135, 138, 146, 155, 162, 164, 168, 176, 180, 189, 195, 205, 208. Blue trees are on cells 17, 38, 39, 48, 49, 50, 51, 52, 57, 58, 59, 60, 61, 62, 66, 70, 71, 72, 80, 81, 82, 83, 90, 91, 92, 96, 98, 106, 109, 123, 126. Red-ground cells are 32, 47, 73, 78, 83, 87, 88, 89, 97, 98, 99, 107, 108, 109, 111, 113, 117, 118, 119, 126, 127, 128, 129, 137, 138, 139, 147, 148, 149, 153, 157, 158, 159, 167, 168, 169, 174, 177, 178, 179, 187, 188, 189, 197, 198, 199, 207, 208, 209. Walls block cells 30, 31, 32, 33, 34, 35, 36, 102, 103, 104, 105, 106, 107, 108, 109, 130, 131, 132, 133, 134, 135, 164, 165, 166, 167, 168, 169. Your robot starts on cell 58; the monster starts on cell 189.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 2, 32, 34, 39, 47, 49, 55, 66, 68, 73, 76, 78, 83, 84, 92, 94, 96, 97, 99, 102, 105, 111, 113, 118, 124, 126, 131, 135, 153, 155, 164, 168, 174, 176, 180, 189, 195, 208. Blue trees are on cells 7, 8, 17, 18, 27, 28, 37, 38, 47, 48, 57, 58, 67, 68, 77, 78, 87, 88, 97, 98, 166, 167, 168, 176, 177, 178, 186, 187, 188. Red-ground cells are 1, 2, 3, 4, 5, 11, 12, 13, 14, 15, 17, 21, 22, 23, 24, 25, 31, 32, 33, 34, 35, 57, 66, 83, 96, 98, 106, 109, 123, 126, 159, 169, 179, 189, 197, 198, 199, 207, 208, 209. Walls block cells 40, 41, 42, 43, 44, 55, 65, 75, 85, 95, 105, 115, 125, 132, 133, 134, 135, 136, 137. Your robot starts on cell 62; the monster starts on cell 17.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 24, 25, 32, 35, 44, 53, 57, 68, 74, 76, 79, 80, 85, 86, 94, 102, 104, 107, 109, 111, 112, 113, 115, 116, 119, 125, 128, 134, 139, 141, 144, 145, 148, 156, 164, 165, 168, 172, 178. Blue trees are on cells 7, 8, 17, 18, 27, 28, 32, 37, 38, 47, 48, 57, 58, 66, 67, 68, 73, 77, 78, 83, 87, 88, 96, 97, 98, 106, 109, 111, 113, 123, 126, 153, 174. Red-ground cells are 2, 39, 45, 46, 49, 55, 56, 65, 66, 68, 75, 76, 84, 85, 86, 95, 96, 105, 106, 115, 116, 125, 126, 135, 136, 145, 146, 155, 156, 164, 165, 166, 195, 208. Walls block cells 21, 22, 23, 24, 25, 26, 34, 44, 54, 64, 74, 84, 94, 104, 114, 124, 134, 144, 154, 164, 174, 181, 182, 183, 184, 185, 186. Your robot starts on cell 101; the monster starts on cell 108." ] } }, "trial_spec": { "trial_kind": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "preference_rating", "turn" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 16, "between_subject": false, "dtype": "string", "values": [ "exp_1_env1", "exp_1_env1_feat_prey", "exp_1_env1_feat_red_ground", "exp_1_env1_feat_trees", "exp_1_env2", "exp_1_env2_feat_prey", "exp_1_env2_feat_red_ground", "exp_1_env2_feat_trees", "exp_1_env3", "exp_1_env3_feat_prey", "exp_1_env3_feat_red_ground", "exp_1_env3_feat_trees", "exp_1_env4", "exp_1_env4_feat_prey", "exp_1_env4_feat_red_ground", "exp_1_env4_feat_trees" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "environment": { "n_distinct": 4, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4 ] }, "feature": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "prey", "red_ground", "trees" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reaction_time_unit": { "reaction_time_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "s" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reward_value": { "reward_value": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 200.0 ] } }, "reward_unit": { "reward_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "points" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "psyche_sentinel" ] } }, "outcome": { "kind": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "end_state", "state" ] } } }, "demographic_coverage": { "age": 0.0, "sex": 0.0, "gender": 0.0 }, "applicable_methods": [], "data_path": "data\\datasets\\wise-et-al-2023\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "a58a789724a7afa9929f7e38cf681a2a20677a5c0a8d3a1e69572f61825d3676", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-31T01:31:15.552529+00:00", "paradigm": "predator-prey-agent-goal-inference", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", 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1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 0.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 1.0, "reward_value": 1.0, "reward_unit": 1.0, "response_type": 0.0, "encoding_applicable": 1.0, "feature_vector": 0.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 1.0, "correct_outcome": 0.0 }, "column_values": { "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 6, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 12, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "planning_horizon": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "long", "short" ] }, "uncertainty": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "irreducible", "predictable", "reducible" ] } }, "block_spec": { "environment": { "n_distinct": 6, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6 ] }, "environment_layout": { "n_distinct": 6, "between_subject": false, "dtype": "string", "values": [ "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 0, 2, 4, 13, 17, 18, 25, 37, 86, 96, 97, 105, 106, 115, 116, 124, 125, 134, 143. Blue trees are on cells 87, 117, 118, 137, 144, 154, 205. Red-ground cells are 77, 98, 107, 126, 127, 135, 136, 163, 188. Walls block cells 34, 42, 44, 53, 55, 63, 65, 66, 67, 70, 71, 72, 73, 78, 88, 99, 108, 119, 128, 138, 145, 146, 147, 155, 156, 157, 164, 174, 183, 193, 202. Your robot starts on cell 54; the monster starts on cell 153.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 12, 38, 82, 88, 118, 143, 146, 147, 152, 163, 165, 196. Blue trees are on cells 8, 18, 58, 79, 143, 144, 152, 162, 164, 176, 179, 184, 189, 190, 196, 201, 208. Red-ground cells are 133, 134, 135, 142, 153, 165, 174, 175, 185, 195, 198, 199. Walls block cells 6, 16, 26, 34, 35, 36, 37, 43, 46, 52, 53, 56, 65, 75, 85, 95, 105, 115, 122, 123, 124, 125, 132, 141, 151, 161, 172, 181. Your robot starts on cell 167; the monster starts on cell 66.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 20, 30, 50, 60, 70, 71, 80, 81, 90, 96, 100, 101, 111, 115, 118, 121, 127, 136, 146, 157, 176, 184. Blue trees are on cells 38, 41, 51, 72, 91, 97, 110, 120, 132, 148, 163, 170, 174, 180, 181, 190, 202, 205, 206, 207. Red-ground cells are 59, 61, 92, 130, 140, 150, 191, 192, 193, 200, 201. Walls block cells 13, 22, 33, 43, 44, 45, 46, 47, 48, 49, 53, 62, 73, 82, 93, 102, 112, 122, 133, 141, 143, 152, 154, 162, 164, 173, 183, 194, 204. Your robot starts on cell 153; the monster starts on cell 21.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 27, 38, 55, 58, 64, 65, 69, 75, 78, 84, 85, 95, 104, 105, 109, 115, 119, 124, 125, 144. Blue trees are on cells 4, 5, 6, 7, 14, 17, 26, 53, 74, 113, 134, 173, 179, 204, 208. Red-ground cells are 54, 60, 63, 73, 83, 93, 94, 103, 114, 123, 133, 143. Walls block cells 16, 25, 35, 37, 42, 43, 44, 46, 52, 56, 62, 66, 72, 76, 82, 86, 92, 96, 102, 106, 112, 116, 122, 126, 132, 136, 142, 146, 152, 156, 161, 166, 172, 173, 174, 177, 184, 185, 186. Your robot starts on cell 36; the monster starts on cell 164.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 34, 43, 54, 64, 71, 74, 81, 84, 102, 104, 114, 122, 124, 131, 144, 152, 154, 163. Blue trees are on cells 64, 74, 104, 114, 128, 134, 135, 144, 145, 175, 184, 185, 204. Red-ground cells are 88, 105, 125, 193, 194, 195, 196, 203, 205. Walls block cells 25, 30, 31, 32, 36, 42, 46, 53, 57, 63, 66, 73, 76, 83, 86, 93, 96, 103, 106, 113, 116, 123, 126, 133, 136, 143, 146, 153, 156, 162, 166, 170, 171, 177, 181, 182, 187, 188, 189. Your robot starts on cell 172; the monster starts on cell 65.", "This game's map is a hexagonal grid of 21 by 10 cells, each identified by a number from 0 to 209; the layout is fixed for this game. Gold coins sit on cells 44, 51, 55, 61, 64, 75, 80, 84, 90, 95, 100, 101, 104, 115, 121, 124, 135, 140, 144, 154, 155, 163, 164, 165, 166, 174, 175, 176. Blue trees are on cells 17, 43, 55, 75, 76, 82, 99, 105, 155, 164, 181, 188, 193, 204, 205, 206. Red-ground cells are 65, 66, 85, 96, 116, 125, 136, 145, 156. Walls block cells 16, 20, 21, 23, 26, 32, 33, 34, 37, 46, 52, 53, 54, 57, 63, 66, 73, 77, 83, 86, 93, 97, 103, 106, 113, 117, 122, 126, 133, 137, 142, 146, 152, 157, 161, 167, 172, 177, 182, 184, 185, 186, 192, 202. 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"between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "condition": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "counterfactual", "hypothetical" ] } }, "trial_spec": { "actual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "counterfactual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "scene": { "n_distinct": 21, "between_subject": false, "dtype": "string", "values": [ "The player is at the start, about to choose which of the two paths to take to reach the star. The two paths look exactly the same. Each path has a single door partway along it, and right now both doors are open.", "The player is at the start, about to choose which of the two paths to take to reach the star. The two paths look exactly the same. Each path has a single door partway along it, and right now both doors are shut.", "The player is at the start, about to choose which of the two paths to take to reach the star. The two paths look exactly the same. Neither path has a door, so the way to the star is clear on both.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path stayed open the whole time, and the door on the red path was open for the first 4 steps, then slid shut for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path stayed open the whole time, and the door on the red path was open for the first step, then slid shut for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first 4 steps, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first 8 steps, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first step, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path stayed shut the whole time. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path was shut for the first 2 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path was shut for the first 4 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. Neither path had a door, so the way was clear. In the replay, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path stayed shut the whole time. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path was shut for the first 6 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path was shut for the first step, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path stayed open the whole time. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path was open for the first 3 steps, then slid shut for 3 steps, then slid open for the rest. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path was open for the first step, then slid shut for the rest. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path stayed shut the whole time. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path was shut for the first 6 steps, then slid open for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path was shut for the first step, then slid open for the rest. In the end, the player reached the star with time to spare and won." ] }, "question": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "How much do you agree that the player would have won if it had taken the blue path this time?", "How much do you agree that the player would have won if it had taken the red path this time?", "How much do you agree that the player would win if it took the blue path this time?", "How much do you agree that the player would win if it took the red path this time?" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 18, "between_subject": false, "dtype": "string", "values": [ "scenario_01", "scenario_02", "scenario_03", "scenario_04", "scenario_05", "scenario_06", "scenario_07", "scenario_08", "scenario_09", "scenario_10", "scenario_11", "scenario_12", "scenario_13", "scenario_14", "scenario_15", "scenario_16", "scenario_17", "scenario_18" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "scenario": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }, "modality": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "video_gridworld" ] }, "doors_final": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "closed_closed", "closed_open", "none_none", "open_closed", "open_open" ] }, "actual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "actual_outcome_binary": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "loss", "win" ] }, "counterfactual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "counterfactual_difference": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "different", "same" ] }, "note": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "scenario id not recorded in raw and not uniquely recoverable" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } } }, "demographic_coverage": { "age": 0.98, "sex": 0.0, "gender": 1.0 }, "applicable_methods": [], "data_path": "data\\datasets\\wu2022that\\exp_1.csv", "jingle_jangle_note": "", "fingerprint": "e116a3ebd836a5a99b4a2f2c111381034e45a27b0bda00e3571be7d2567b9f54", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:18.089665+00:00", "paradigm": "agent-decision-causal-judgment", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "435d273cf0d7b958b35e88266b8aba8ac5a9cfbac4248a93934fb3b47cc7739d", "profiler_version": 1 } }, { "study_slug": "wu2022that", "experiment": "exp_2", "paradigm": "agent-decision-causal-judgment", "paradigm_status": "agent-inferred", "n_subjects": 50, "trials_per_subject": [ 18, 18 ], "columns_present": { "subject_id": 1.0, "age": 1.0, "sex": 0.0, "gender": 1.0, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 0.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 0.9944444444444445, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 0.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 1.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 34, "between_subject": true, "dtype": "numeric", "min": 19, "max": 74 } }, "gender": { "gender": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "diverse", "man", "other", "woman" ] } }, "trial_global": { "trial_global": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "trial_spec": { "actual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "counterfactual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "counterfactual_difference": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "different", "same" ] }, "scene": { "n_distinct": 18, "between_subject": false, "dtype": "string", "values": [ "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path stayed open the whole time, and the door on the red path was open for the first 4 steps, then slid shut for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path stayed open the whole time, and the door on the red path was open for the first step, then slid shut for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first 4 steps, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first 8 steps, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 4 steps, then slid open for the rest, and the door on the red path was shut for the first step, then slid open for the rest. In the end, the player reached the star just in time and won.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path stayed shut the whole time. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path was shut for the first 2 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. In the replay, the door on the blue path was shut for the first 6 steps, then slid open for the rest, and the door on the red path was shut for the first 4 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the blue path toward the star. Neither path had a door, so the way was clear. In the replay, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path stayed shut the whole time. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path was shut for the first 6 steps, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path stayed shut the whole time, and the door on the blue path was shut for the first step, then slid open for the rest. In the end, the player never reached the star and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path stayed open the whole time. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path was open for the first 3 steps, then slid shut for 3 steps, then slid open for the rest. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was open for the first 3 steps, then slid shut for 4 steps, then slid open for the rest, and the door on the blue path was open for the first step, then slid shut for the rest. In the end, the player just missed reaching the star in time and lost.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path stayed shut the whole time. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path was shut for the first 6 steps, then slid open for the rest. In the end, the player reached the star with time to spare and won.", "You watch a replay of everything that happened. The player took the red path toward the star. In the replay, the door on the red path was shut for the first step, then slid open for the rest, and the door on the blue path was shut for the first step, then slid open for the rest. In the end, the player reached the star with time to spare and won." ] }, "question": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "How much do you agree that the player lost because it took the blue path this time?", "How much do you agree that the player lost because it took the red path this time?", "How much do you agree that the player won because it took the blue path this time?", "How much do you agree that the player won because it took the red path this time?" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 18, "between_subject": false, "dtype": "string", "values": [ "scenario_01", "scenario_02", "scenario_03", "scenario_04", "scenario_05", "scenario_06", "scenario_07", "scenario_08", "scenario_09", "scenario_10", "scenario_11", "scenario_12", "scenario_13", "scenario_14", "scenario_15", "scenario_16", "scenario_17", "scenario_18" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "scenario": { "n_distinct": 18, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }, "modality": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "video_gridworld" ] }, "doors_final": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "closed_closed", "closed_open", "none_none", "open_closed", "open_open" ] }, "actual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "actual_outcome_binary": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "loss", "win" ] }, "counterfactual_outcome": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "close", "loss", "win" ] }, "counterfactual_difference": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "different", "same" ] }, "note": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "scenario id not recorded in raw and not uniquely recoverable" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 0.0, "gender": 1.0 }, "applicable_methods": [], "data_path": "data\\datasets\\wu2022that\\exp_2.csv", "jingle_jangle_note": "", "fingerprint": "039fe7535ddee9ff15e0ffac54da9bf9e2652ea067c4b295ddaa5a0b0142c75f", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:18.237019+00:00", "paradigm": "agent-decision-causal-judgment", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "0ddae0c5bf338011bf971d0029025c80804215db69ca8e9ea0f99dc83a3282b2", "profiler_version": 1 } }, { "study_slug": "wu2023a_computational", "experiment": "exp_1", "paradigm": "social-responsibility-attribution", "paradigm_status": "agent-inferred", "n_subjects": 200, "trials_per_subject": [ 24, 24 ], "columns_present": { "subject_id": 1.0, "age": 1.0, "sex": 0.0, "gender": 0.99, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 0.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 0.98, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 0.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 1.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 49, "between_subject": true, "dtype": "numeric", "min": 18, "max": 78 } }, "gender": { "gender": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "diverse", "man", "other", "woman" ] } }, "trial_global": { "trial_global": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "condition": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "counterfactual", "effort", "intention", "responsibility" ] } }, "step_spec": { "question": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "How much do you agree that the red player would have reached the star if the blue player had not been there? On this scale, 0 means \"not at all\" and 100 means \"very much\".", "How much effort did the blue player exert? On this scale, 0 means \"very little\" and 100 means \"very much\".", "How responsible was the blue player for the outcome \u2014 whether the red player reached the star? On this scale, 0 means \"not at all\" and 100 means \"very much\".", "What was the blue player intending to do? On this scale, 0 means \"definitely hinder the red player\", 100 means \"definitely help the red player\", and 50 means \"unsure\"." ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 24, "between_subject": false, "dtype": "string", "values": [ "scenario_01", "scenario_02", "scenario_03", "scenario_04", "scenario_05", "scenario_06", "scenario_07", "scenario_08", "scenario_09", "scenario_10", "scenario_11", "scenario_12", "scenario_13", "scenario_14", "scenario_15", "scenario_16", "scenario_17", "scenario_18", "scenario_19", "scenario_20", "scenario_21", "scenario_22", "scenario_23", "scenario_24" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "scenario": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ] }, "modality": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "video_gridworld" ] }, "scenario_description": { "n_distinct": 23, "between_subject": false, "dtype": "string", "values": [ "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 2, column 1. There are boxes at row 2, column 6, row 3, column 5. There are walls below row 1, column 1, below row 1, column 2, below row 1, column 3, below row 4, column 4, below row 4, column 5, below row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 5 times, then moves down 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There are boxes at row 2, column 6, row 3, column 4. There are walls below row 1, column 3, below row 4, column 3, below row 1, column 4, below row 4, column 4, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 4 times, then moves down, then moves left 2 times, then moves down 2 times, then moves right. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 2, column 6, row 3, column 5. The blue player moves right, then moves right, then moves up, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 3 times, then moves down, then moves right, then moves down, then moves right. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 2, column 6, row 4, column 4. There are walls to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 4 times, then moves down 3 times, then moves right, then moves up. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 2, column 6, row 4, column 5. There are walls to the left of row 3, column 2, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 4 times, then moves down 3 times, then moves right, then moves up. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 3, column 3, row 3, column 5, row 4, column 5. There are walls below row 2, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down, then moves left 2 times, then moves down 2 times, then moves right 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 3, column 3, row 3, column 5. There are walls to the left of row 1, column 5, to the left of row 2, column 5, to the left of row 4, column 5, to the left of row 5, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There are boxes at row 3, column 4, row 3, column 5. There are walls below row 2, column 1, below row 3, column 1, below row 3, column 2, below row 2, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box, then moves right, then moves up, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then waits in place for 3 steps, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 1, column 4. There are walls below row 3, column 4, below row 1, column 5, below row 4, column 5, to the left of row 4, column 4, to the left of row 5, column 4, to the left of row 2, column 6, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player does not move. The red player moves right 2 times, then moves down, then moves right 2 times, then moves down 2 times, then moves left, then moves down, then moves right. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 1, column 4. There are walls below row 3, column 4, below row 1, column 5, below row 4, column 5, to the left of row 4, column 4, to the left of row 5, column 4, to the left of row 2, column 6, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves up, then moves right, then moves up, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 2 times, then waits in place for 4 steps, then moves right 3 times, then moves down. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 2, column 4. There are walls to the left of row 3, column 3, to the left of row 5, column 3, to the left of row 1, column 5, to the left of row 3, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then moves up, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 2 times, then moves down 4 times, then moves right 2 times, then moves up, then moves right. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 3. There are walls below row 2, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down, then moves left 2 times, then moves down 2 times, then moves right 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 3. There are walls below row 2, column 5, below row 2, column 6, to the left of row 2, column 2, to the left of row 4, column 2 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down, then moves left, then moves down 2 times, then moves right 3 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 3. There are walls to the left of row 1, column 5, to the left of row 2, column 5, to the left of row 4, column 5, to the left of row 5, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 2 times, then moves down, then moves right. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 1, column 1, below row 4, column 1, below row 2, column 5, below row 3, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 1, column 1, below row 4, column 1, below row 3, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 1, column 5, below row 4, column 5, below row 4, column 6, to the left of row 4, column 5, to the left of row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves up, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down, then moves up, then moves right 2 times, then moves down 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 5. There are walls below row 1, column 1, below row 4, column 1, below row 1, column 2, below row 4, column 2, below row 1, column 3, below row 4, column 3, below row 2, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 2. There are walls below row 3, column 1, below row 3, column 2, below row 2, column 5, below row 2, column 6, to the left of row 1, column 4, to the left of row 2, column 4, to the left of row 3, column 4 (in addition to the outer border); no player can move through a wall. The blue player does not move. The red player moves right 2 times, then moves down 3 times, then moves right 3 times, then moves up. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 4. There are walls below row 1, column 2, below row 4, column 2, below row 2, column 5, below row 3, column 5, below row 2, column 6, to the left of row 2, column 2, to the left of row 4, column 2 (in addition to the outer border); no player can move through a wall. The blue player moves down, then moves right, then moves right, then moves right, then grabs the box above it, then moves up and drags the box up, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 4. There are walls below row 3, column 1, below row 2, column 6, to the left of row 3, column 2, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 4 times, then moves down 3 times, then moves right, then moves up. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 4. There are walls below row 3, column 1, below row 2, column 6, to the left of row 3, column 2, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves left, then moves down 2 times, then moves right 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 5, column 1. There is a box at row 3, column 2. There are walls below row 1, column 5, below row 4, column 5, below row 4, column 6, to the left of row 4, column 5, to the left of row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves up, then grabs the box to its right, then moves right and drags the box right, then moves right and drags the box right, then moves right and drags the box right, then lets go of the box. The red player moves down, then moves right 4 times, then moves left, then moves up, then moves right 2 times, then moves down. The red player does not reach the star before time runs out." ] }, "note": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "scenario id not recorded in raw and not uniquely recoverable" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 0.0, "gender": 0.99 }, "applicable_methods": [], "data_path": "data\\datasets\\wu2023a_computational\\exp_1.csv", "jingle_jangle_note": "", "fingerprint": "a69601219335f61832e039b4af2050da5f7093da383f70d705b60f466bf03ddd", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:18.574324+00:00", "paradigm": "social-responsibility-attribution", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "f370a146a0ab3a1a05e996278a1cc779684aa60c51ddc535773f7b459f0ab017", "profiler_version": 1 } }, { "study_slug": "wu2023a_computational", "experiment": "exp_2", "paradigm": "social-responsibility-attribution", "paradigm_status": "agent-inferred", "n_subjects": 200, "trials_per_subject": [ 19, 48 ], "columns_present": { "subject_id": 1.0, "age": 0.9923318229348205, "sex": 0.0, "gender": 0.9959916347159289, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 0.0, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.0, "feedback": 1.0, "stimulus_id": 0.9996514464970373, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 0.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 0.7967933077727432, "encoding_applicable": 1.0, "feature_vector": 0.7967933077727432, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 50, "between_subject": true, "dtype": "numeric", "min": 19.0, "max": 79.0 } }, "gender": { "gender": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "diverse", "man", "other", "woman" ] } }, "trial_global": { "trial_global": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ] } }, "step": { "step": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "condition": { "n_distinct": 4, "between_subject": true, "dtype": "string", "values": [ "counterfactual", "explanation", "intention", "responsibility" ] } }, "step_spec": { "question": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "How much do you agree that the red player would have reached the star if the blue player had not been there? On this scale, 0 means \"not at all\" and 100 means \"very much\".", "How responsible was the blue player for the outcome \u2014 whether the red player reached the star? On this scale, 0 means \"not at all\" and 100 means \"very much\".", "How responsible was the red player for the outcome \u2014 whether the red player reached the star? On this scale, 0 means \"not at all\" and 100 means \"very much\".", "What was the blue player intending to do? On this scale, 0 means \"definitely hinder the red player\", 100 means \"definitely help the red player\", and 50 means \"unsure\".", "Why did the red player succeed or fail to reach the star?" ] }, "responsibility_target": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "BLUE", "RED" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 24, "between_subject": false, "dtype": "string", "values": [ "scenario_01", "scenario_02", "scenario_03", "scenario_04", "scenario_05", "scenario_06", "scenario_07", "scenario_08", "scenario_09", "scenario_10", "scenario_11", "scenario_12", "scenario_13", "scenario_14", "scenario_15", "scenario_16", "scenario_17", "scenario_18", "scenario_19", "scenario_20", "scenario_21", "scenario_22", "scenario_23", "scenario_24" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "scenario": { "n_distinct": 24, "between_subject": false, "dtype": "numeric", "values": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ] }, "modality": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "video_gridworld" ] }, "scenario_description": { "n_distinct": 24, "between_subject": false, "dtype": "string", "values": [ "The scene is a 5-by-5 grid of squares (5 rows, 5 columns). The star that the red player must reach is at row 5, column 4. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 5. There are walls below row 2, column 1, below row 2, column 2, below row 2, column 3, below row 2, column 4 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player makes its way through the grid. The red player does not reach the star before time runs out.", "The scene is a 5-by-5 grid of squares (5 rows, 5 columns). The star that the red player must reach is at row 5, column 4. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 5. There are walls below row 2, column 1, below row 2, column 2, below row 2, column 3, below row 2, column 4 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 4 times, then moves down 4 times, then moves left, then moves down. The red player reaches the star in time.", "The scene is a 5-by-5 grid of squares (5 rows, 5 columns). The star that the red player must reach is at row 5, column 5. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 4. There are walls below row 2, column 1, below row 2, column 2, below row 2, column 3, below row 2, column 4 (in addition to the outer border); no player can move through a wall. The blue player stays in place, then moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player makes its way through the grid. The red player reaches the star in time.", "The scene is a 5-by-5 grid of squares (5 rows, 5 columns). The star that the red player must reach is at row 5, column 5. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 4. There are walls below row 2, column 1, below row 2, column 2, below row 2, column 3, below row 2, column 4 (in addition to the outer border); no player can move through a wall. The blue player stays in place, then moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right, then moves down, then moves right 3 times, then moves up, then moves right, then moves down 3 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 2, column 1. There is a box at row 1, column 4. There are walls below row 3, column 4, below row 1, column 5, below row 4, column 5, to the left of row 4, column 4, to the left of row 5, column 4, to the left of row 2, column 6, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 2 times, then moves left, then moves down 2 times, then moves right, then moves up 2 times, then moves right 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 2, column 1. There is a box at row 1, column 4. There are walls below row 3, column 4, below row 1, column 5, below row 4, column 5, to the left of row 4, column 4, to the left of row 5, column 4, to the left of row 2, column 6, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 2 times, then waits in place for 3 steps, then moves right 3 times, then moves down 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 2, column 4. There are walls to the left of row 4, column 3, to the left of row 5, column 3, to the left of row 1, column 5, to the left of row 3, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then waits in place for 2 steps, then moves down, then moves right 2 times, then moves down. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 2, column 4. There are walls to the left of row 4, column 3, to the left of row 5, column 3, to the left of row 1, column 5, to the left of row 3, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right, then moves down 2 times, then moves right, then moves down 2 times, then moves right 3 times, then moves up. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 2, column 5. There are walls below row 4, column 5, to the left of row 1, column 4, to the left of row 2, column 4, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right, then moves down, then moves right, then moves left, then moves down 2 times, then moves right, then moves down, then moves right 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 2, column 5. There are walls below row 4, column 5, to the left of row 1, column 4, to the left of row 2, column 4, to the left of row 3, column 6, to the left of row 4, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right, then moves down, then waits in place, then moves down 3 times, then moves right 4 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 1, column 1, below row 4, column 1, below row 3, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 2 times, then moves down 2 times, then waits in place, then moves right 3 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 3, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 1, column 1, below row 4, column 1, below row 3, column 5, below row 2, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then grabs the box above it, then moves down and drags the box down, then lets go of the box. The red player moves right 3 times, then moves down, then moves right, then moves down, then moves right. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 4, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 3. There are walls below row 1, column 2, below row 4, column 2, below row 1, column 3, below row 2, column 5, below row 3, column 6, to the left of row 2, column 2, to the left of row 4, column 2, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then grabs the box to its right, then moves right and drags the box right, then moves right and drags the box right, then lets go of the box. The red player moves right 3 times, then moves down, then moves left, then moves down 2 times, then moves right 3 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 4, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 3. There are walls below row 1, column 2, below row 4, column 2, below row 1, column 3, below row 2, column 5, below row 3, column 6, to the left of row 2, column 2, to the left of row 4, column 2, to the left of row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves right, then grabs the box to its right, then moves right and drags the box right, then moves right and drags the box right, then lets go of the box. The red player moves right, then moves left, then moves down 4 times, then moves right 4 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 4, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 6. There are walls below row 1, column 2, below row 1, column 3, below row 3, column 4, below row 3, column 5, to the left of row 2, column 2 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves left, then moves down, then moves right 3 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 4, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 1. There is a box at row 3, column 6. There are walls below row 1, column 2, below row 1, column 3, below row 3, column 4, below row 3, column 5, to the left of row 2, column 2 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then moves right, then moves right, then grabs the box to its right, then moves left and drags the box left, then lets go of the box. The red player moves right 5 times, then moves down 3 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 5. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 2, column 1, below row 2, column 3, below row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right, then moves down, then moves right 3 times, then moves down, then moves left 3 times, then moves down. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 5. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 3, column 4. There are walls below row 2, column 1, below row 2, column 3, below row 3, column 6 (in addition to the outer border); no player can move through a wall. The blue player moves up, then moves right, then moves right, then grabs the box to its right, then moves right and drags the box right, then lets go of the box. The red player moves right, then moves down, then waits in place, then moves down 3 times, then moves right 3 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 6. There is a box at row 3, column 4. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves left, then grabs the box to its left, then moves left and drags the box left, then lets go of the box. The red player moves right 5 times, then moves down 4 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 3, column 6. There is a box at row 3, column 4. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves left, then grabs the box to its left, then moves left and drags the box left, then lets go of the box. The red player moves right, then moves down 2 times, then moves up, then moves right 3 times, then moves down, then moves right, then moves down. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 3. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 3, below row 3, column 6, to the left of row 2, column 5, to the left of row 3, column 5, to the left of row 4, column 5 (in addition to the outer border); no player can move through a wall. The blue player stays in place, then stays in place, then stays in place, then moves right, then grabs the box to its right, then stays in place, then lets go of the box. The red player moves right 3 times, then moves down, then moves up, then moves right, then moves down 4 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 3. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 3, below row 3, column 6, to the left of row 2, column 5, to the left of row 3, column 5, to the left of row 4, column 5 (in addition to the outer border); no player can move through a wall. The blue player stays in place, then stays in place, then stays in place, then moves right, then grabs the box to its right, then stays in place, then lets go of the box. The red player moves right, then moves down 2 times, then moves right 2 times, then moves down 2 times, then moves right 2 times. The red player reaches the star in time.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 4. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 3, below row 3, column 6, to the left of row 2, column 5, to the left of row 3, column 5, to the left of row 4, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then stays in place, then lets go of the box. The red player moves right 3 times, then moves down 2 times, then moves up 2 times, then moves right, then moves down 2 times. The red player does not reach the star before time runs out.", "The scene is a 6-by-5 grid of squares (5 rows, 6 columns). The star that the red player must reach is at row 5, column 6. The red player starts at row 1, column 1, and the blue player starts at row 4, column 1. There is a box at row 4, column 4. There are walls below row 3, column 1, below row 3, column 2, below row 3, column 3, below row 3, column 6, to the left of row 2, column 5, to the left of row 3, column 5, to the left of row 4, column 5 (in addition to the outer border); no player can move through a wall. The blue player moves right, then moves right, then grabs the box to its right, then stays in place, then lets go of the box. The red player moves right 4 times, then moves down 3 times, then moves right, then moves down. The red player reaches the star in time." ] }, "note": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "scenario id not recorded in raw and not uniquely recoverable" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 2, "between_subject": true, "dtype": "numeric", "values": [ 0, 1 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } } }, "demographic_coverage": { "age": 0.9923318229348205, "sex": 0.0, "gender": 0.9959916347159289 }, "applicable_methods": [], "data_path": "data\\datasets\\wu2023a_computational\\exp_2.csv", "jingle_jangle_note": "", "fingerprint": "a002ea028b2c97bbc82d328becb510c344605cd866bb8c54c43fccdebe29a9a2", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:19.000975+00:00", "paradigm": "social-responsibility-attribution", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "5fe5f6a54e56bdb18e72794c39c479e6e6ccc035eb0b701998c7192c4c238247", "profiler_version": 1 } }, { "study_slug": "wu2024whodunnit", "experiment": "exp_1", "paradigm": "multimodal-evidence-causal-inference", "paradigm_status": "agent-inferred", "n_subjects": 98, "trials_per_subject": [ 4, 30 ], "columns_present": { "subject_id": 1.0, "age": 1.0, "sex": 0.9686346863468634, "gender": 0.9686346863468634, "trial_global": 1.0, "step": 1.0, "trial_block": 1.0, "trial_within_block": 1.0, "imputed": 1.0, "experiment_phase": 1.0, "task_phase": 0.8699261992619927, "subject_spec": 1.0, "block_spec": 1.0, "trial_spec": 1.0, "step_spec": 1.0, "decision": 1.0, "decision_freedom": 1.0, "correct_response": 0.8699261992619927, "feedback": 1.0, "stimulus_id": 1.0, "stimulus_type": 1.0, "stimulus_spec": 1.0, "response": 0.0, "correct": 0.0, "reaction_time": 0.0, "reaction_time_unit": 0.0, "reward": 0.0, "reward_value": 0.0, "reward_unit": 0.0, "response_type": 1.0, "encoding_applicable": 1.0, "feature_vector": 0.0, "keypress": 1.0, "subject_input": 1.0, "action": 1.0, "outcome": 0.0, "correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 41, "between_subject": true, "dtype": "numeric", "min": 18, "max": 78 } }, "sex": { "sex": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "female", "male", "other" ] } }, "gender": { "gender": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "diverse", "man", "woman" ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "trial_within_block": { "trial_within_block": { "n_distinct": 20, "between_subject": false, "dtype": "numeric", "values": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "main_task", "practice" ] } }, "task_phase": { "task_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "test" ] } }, "subject_spec": { "in_analysis": { "n_distinct": 2, "between_subject": true, "dtype": "numeric", "values": [ 0, 1 ] }, "condition": { "n_distinct": 3, "between_subject": true, "dtype": "string", "values": [ "1", "2", "3" ] } }, "trial_spec": { "modality": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "auditory", "multimodal", "visual" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "correct_response": { "correct_response": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 100.0 ] } }, "feedback": { "feedback": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 22, "between_subject": false, "dtype": "string", "values": [ "example1", "example2", "snack1", "snack10", "snack11", "snack12", "snack13", "snack2", "snack3", "snack4", "snack5", "snack6", "snack7", "snack8", "snack9", "tv1", "tv2", "tv3", "tv4", "tv5", "tv6", "tv7" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "other" ] } }, "stimulus_spec": { "id": { "n_distinct": 22, "between_subject": false, "dtype": "string", "values": [ "example1", "example2", "snack1", "snack10", "snack11", "snack12", "snack13", "snack2", "snack3", "snack4", "snack5", "snack6", "snack7", "snack8", "snack9", "tv1", "tv2", "tv3", "tv4", "tv5", "tv6", "tv7" ] }, "agent_left": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "A", "B", "C", "D", "E" ] }, "agent_right": { "n_distinct": 5, "between_subject": false, "dtype": "string", "values": [ "B", "C", "D", "E", "F" ] }, "scene": { "n_distinct": 18, "between_subject": false, "dtype": "string", "values": [ "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a bedroom in the upper right, and a living room along the bottom. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the bedroom (upper right). There is a television with a remote control in the living room. Of the sliding doors connecting the rooms, the left one is open and the right one is closed.", "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a bedroom in the upper right, and a living room along the bottom. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the bedroom (upper right). There is a television with a remote control in the living room. The sliding doors connecting the rooms are all closed.", "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a bedroom in the upper right, and a living room along the bottom. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the bedroom (upper right). There is a television with a remote control in the living room. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a living room in the lower left, and a kitchen on the right side. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the living room (lower left). There is a fridge in the kitchen, toward its upper-right. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a living room in the upper right, and a kitchen along the bottom. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the living room (upper right). There is a fridge in the kitchen, toward its lower-left. Of the sliding doors connecting the rooms, the left one is open and the right one is closed.", "You are shown a bird's-eye view of an apartment with a bedroom in the upper left, a living room in the upper right, and a kitchen along the bottom. Two people are inside: the person who started in the bedroom (upper left), and the person who started in the living room (upper right). There is a fridge in the kitchen, toward its lower-left. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a kitchen along the top, a bedroom in the lower left, and a living room in the lower right. Two people are inside: the person who started in the bedroom (lower left), and the person who started in the living room (lower right). There is a fridge in the kitchen, toward its upper-left. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a kitchen along the top, a living room in the lower left, and a bedroom in the lower right. Two people are inside: the person who started in the living room (lower left), and the person who started in the bedroom (lower right). There is a fridge in the kitchen, toward its upper-left. Of the sliding doors connecting the rooms, the left one is closed and the right one is open.", "You are shown a bird's-eye view of an apartment with a kitchen on the left side, a bedroom in the upper right, and a living room in the lower right. Two people are inside: the person who started in the bedroom (upper right), and the person who started in the living room (lower right). There is a fridge in the kitchen, toward its upper-left. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a kitchen on the left side, a living room in the upper right, and a bedroom in the lower right. Two people are inside: the person who started in the living room (upper right), and the person who started in the bedroom (lower right). There is a fridge in the kitchen, toward its upper-left. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a living room along the top and two bedrooms below it, one in the lower left and one in the lower right. There is a television with a remote control in the living room. Two people are inside: the person who started in the bedroom in the lower left, and the person who started in the bedroom in the lower right. A sliding door connects each bedroom to the living room.", "You are shown a bird's-eye view of an apartment with a living room along the top, a bedroom in the lower left, and a bedroom in the lower right. Two people are inside: the person who started in the bedroom (lower left), and the person who started in the bedroom (lower right). There is a television with a remote control in the living room. Of the sliding doors connecting the rooms, the left one is open and the right one is closed.", "You are shown a bird's-eye view of an apartment with a living room along the top, a bedroom in the lower left, and a bedroom in the lower right. Two people are inside: the person who started in the bedroom (lower left), and the person who started in the bedroom (lower right). There is a television with a remote control in the living room. The sliding doors connecting the rooms are all closed.", "You are shown a bird's-eye view of an apartment with a living room along the top, a bedroom in the lower left, and a bedroom in the lower right. Two people are inside: the person who started in the bedroom (lower left), and the person who started in the bedroom (lower right). There is a television with a remote control in the living room. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a living room in the upper left, a bedroom in the lower left, and a kitchen on the right side. Two people are inside: the person who started in the living room (upper left), and the person who started in the bedroom (lower left). There is a fridge in the kitchen, toward its upper-right. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a living room in the upper left, a bedroom in the upper right, and a kitchen along the bottom. Two people are inside: the person who started in the living room (upper left), and the person who started in the bedroom (upper right). There is a fridge in the kitchen, toward its lower-center. The sliding doors connecting the rooms are all open.", "You are shown a bird's-eye view of an apartment with a living room in the upper left, a bedroom in the upper right, and a kitchen along the bottom. Two people are inside: the person who started in the living room (upper left), and the person who started in the bedroom (upper right). There is a fridge in the kitchen, toward its lower-left. The sliding doors connecting the rooms are all closed.", "You are shown a bird's-eye view of an apartment with a living room in the upper left, a bedroom in the upper right, and a kitchen along the bottom. Two people are inside: the person who started in the living room (upper left), and the person who started in the bedroom (upper right). There is a fridge in the kitchen, toward its lower-right. The sliding doors connecting the rooms are all open." ] }, "question": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "Which of the two people got a snack from the fridge?", "Which of the two people was watching TV in the living room?" ] }, "agent0": { "n_distinct": 7, "between_subject": false, "dtype": "string", "values": [ "the person who started in the bedroom (lower left)", "the person who started in the bedroom (upper left)", "the person who started in the bedroom (upper right)", "the person who started in the bedroom in the lower left", "the person who started in the living room (lower left)", "the person who started in the living room (upper left)", "the person who started in the living room (upper right)" ] }, "agent100": { "n_distinct": 7, "between_subject": false, "dtype": "string", "values": [ "the person who started in the bedroom (lower left)", "the person who started in the bedroom (lower right)", "the person who started in the bedroom (upper right)", "the person who started in the bedroom in the lower right", "the person who started in the living room (lower left)", "the person who started in the living room (lower right)", "the person who started in the living room (upper right)" ] }, "scenario_action": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "snack", "tv" ] }, "correct_agent_side": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "left", "right" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "judgment" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "keypress": { "keypress": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "none" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 0.9686346863468634, "gender": 0.9686346863468634 }, "applicable_methods": [], "data_path": "data\\datasets\\wu2024whodunnit\\exp_1.csv", "jingle_jangle_note": "", "fingerprint": "d93aa83c010d5e84bf9738ece1dad18157207253915d69ff1eadb99ffdc6cbf7", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-15T17:29:19.324292+00:00", "paradigm": "multimodal-evidence-causal-inference", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": "3e8a85f73a0e2d77588fe9c6d65688aa8af61dacac93a126e7d5ecf679fad86e", "profiler_version": 1 } }, { 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"correct_outcome": 0.0 }, "column_values": { "age": { "age": { "n_distinct": 197, "between_subject": true, "dtype": "numeric", "min": 7.770020534, "max": 30.0 } }, "sex": { "sex": { "n_distinct": 2, "between_subject": true, "dtype": "string", "values": [ "female", "male" ] } }, "step": { "step": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "trial_block": { "trial_block": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "imputed": { "imputed": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 0 ] } }, "experiment_phase": { "experiment_phase": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "main_task" ] } }, "subject_spec": { "pds": { "n_distinct": 29, "between_subject": true, "dtype": "numeric", "min": 1.0, "max": 4.0 }, "testosterone_t1": { "n_distinct": 201, "between_subject": true, "dtype": "numeric", "min": -2.99515542245847, "max": 241.598 } }, "trial_spec": { "butterfly": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "blue", "purple", "red", "yellow" ] }, "preferred_flower": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "pink", "white" ] } }, "decision": { "decision": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "correct_response": { "correct_response": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "pink", "white" ] } }, "feedback": { "feedback": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0, 1 ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "blue", "purple", "red", "yellow" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "symbol" ] } }, "stimulus_spec": { "shape": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "butterfly" ] }, "color": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "blue", "purple", "red", "yellow" ] }, "_asset_ref": { "n_distinct": 4, "between_subject": false, "dtype": "string", "values": [ "butterfly_1", "butterfly_2", "butterfly_3", "butterfly_4" ] } }, "correct": { "correct": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reaction_time_unit": { "reaction_time_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "ms" ] } }, "reward": { "reward": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reward_value": { "reward_value": { "n_distinct": 2, "between_subject": false, "dtype": "numeric", "values": [ 0.0, 1.0 ] } }, "reward_unit": { "reward_unit": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "binary" ] } }, "response_type": { "response_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "choice" ] } }, "encoding_applicable": { "encoding_applicable": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "keypress": { "keypress": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "none", "psyche_sentinel" ] } }, "subject_input": { "subject_input": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "left", "none", "right" ] } }, "action": { "action": { "n_distinct": 3, "between_subject": false, "dtype": "string", "values": [ "none", "pink", "white" ] } }, "outcome": { "kind": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "end_state" ] }, "value": { "n_distinct": 2, "between_subject": false, "dtype": "string", "values": [ "lose", "win" ] } } }, "demographic_coverage": { "age": 1.0, "sex": 1.0, "gender": 0.0 }, "applicable_methods": [], "data_path": "data\\datasets\\xia-et-al-2021\\exp_1.parquet", "jingle_jangle_note": "", "fingerprint": "b9eb80325f24fdabdc40b6e5ebe3677315d152e681d9ff95e0980d1ea181f7ae", "provenance": { "profiler": "profile_dataset", "profiled_at": "2026-07-23T03:48:02.634615+00:00", "paradigm": "probabilistic-reward-learning", "columns_examined": [ "action", "age", "block_spec", "correct", "correct_outcome", "correct_response", "decision", "decision_freedom", "encoding_applicable", "experiment_phase", "feature_vector", "feedback", "gender", "imputed", "keypress", "outcome", "reaction_time", "reaction_time_unit", "response", "response_type", "reward", "reward_unit", "reward_value", "sex", "step", "step_spec", "stimulus_id", "stimulus_spec", "stimulus_type", "subject_id", "subject_input", "subject_spec", "task_phase", "trial_block", "trial_global", "trial_spec", "trial_within_block" ], "data_sha256": 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"between_subject": false, "dtype": "numeric", "values": [ 1 ] } }, "decision_freedom": { "decision_freedom": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free" ] } }, "stimulus_id": { "stimulus_id": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ "fa_cue_neutral", "lingering_change_boredom", "lingering_change_difficulty", "lingering_change_elaboration_prompt", "lingering_change_emotion", "lingering_change_other", "lingering_change_tiredness", "lingering_change_topic", "lingering_description_prompt", "lingering_intentionality_elaboration_prompt", "lingering_intentionality_question", "lingering_rating_item", "theme_generation_prompt", "transportation_item_5" ] } }, "stimulus_type": { "stimulus_type": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "text" ] } }, "stimulus_spec": { "role": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "free_association_cue" ] }, "text": { "n_distinct": 14, "between_subject": false, "dtype": "string", "values": [ " Enter a word to begin!", "A change in how bored I felt while playing the word chain game.", "A change in how easy or difficult it was to come up with words while playing the word chain game.", "A change in how tired I felt while playing the word chain game.", "A change in the emotions I felt while playing the word chain game.", "A change in the topics that came to mind while playing the word chain game.", "After the text ended, I found it easy to put it out of my mind.", "In a few sentences, please elaborate on your experience and describe, in your own words, any of the specific changes you felt. [Note: this followed participants' ratings of whether lingering was associated with a change in: topic, emotion, ease accessing words, boredom, or fatigue]", "In a few sentences, please elaborate on your response above. What did you experience? [Note: this question followed \"Were you intentionally reflecting on the text while playing the word chain game? Or, did aspects of text come to mind unintentionally? \")", "Please describe any differences you felt playing the word chain game before versus after reading the text:", "There was a change in my thoughts, but it was not something that is captured by the questions above.", "Think of the passage you just read. Pick 10 words that relate to its central themes and ideas.", "To what extent did the text linger in your mind after reading it?", "Were you intentionally reflecting on the text while playing the word chain game? Or, did aspects of text come to mind unintentionally?" ] }, "item_number": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 5 ] }, "scale": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "1 (Not At All) to 7 (Very Much)" ] }, "options.option_1": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "I was intentionally reflecting on the text I read" ] }, "options.option_2": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "The text I read came to mind unintentionally" ] }, "options.option_3": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "Both" ] }, "options.option_4": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "Neither" ] }, "options.option_5": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "I don\u2019t know" ] }, "dimension": { "n_distinct": 6, "between_subject": false, "dtype": "string", 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"string", "values": [ "free_association_cue" ] }, "text": { "n_distinct": 15, "between_subject": false, "dtype": "string", "values": [ "A change in how bored I felt while playing the word chain game.", "A change in how easy or difficult it was to come up with words while playing the word chain game.", "A change in how tired I felt while playing the word chain game.", "A change in the emotions I felt while playing the word chain game.", "A change in the topics that came to mind while playing the word chain game.", "After the text ended, I found it easy to put it out of my mind.", "BODY", "In a few sentences, please elaborate on your experience and describe, in your own words, any of the specific changes you felt. [Note: this followed participants' ratings of whether lingering was associated with a change in: topic, emotion, ease accessing words, boredom, or fatigue]", "In a few sentences, please elaborate on your response above. What did you experience? [Note: this question followed \"Were you intentionally reflecting on the text while playing the word chain game? Or, did aspects of text come to mind unintentionally? \")", "Please describe any differences you felt playing the word chain game before versus after reading the text:", "There was a change in my thoughts, but it was not something that is captured by the questions above.", "Think of the passage you just read. Pick 10 words that relate to its central themes and ideas.", "To what extent did the text linger in your mind after reading it?", "WATER", "Were you intentionally reflecting on the text while playing the word chain game? Or, did aspects of text come to mind unintentionally?" ] }, "item_number": { "n_distinct": 1, "between_subject": false, "dtype": "numeric", "values": [ 5 ] }, "scale": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "1 (Not At All) to 7 (Very Much)" ] }, "options.option_1": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "I was intentionally reflecting on the text I read" ] }, "options.option_2": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "The text I read came to mind unintentionally" ] }, "options.option_3": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "Both" ] }, "options.option_4": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "Neither" ] }, "options.option_5": { "n_distinct": 1, "between_subject": false, "dtype": "string", "values": [ "I don\u2019t know" ] }, "dimension": { "n_distinct": 6, "between_subject": false, "dtype": "string", 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