id stringlengths 21 26 | question stringlengths 2.1k 124k | choices dict | answer stringclasses 10
values | category stringclasses 16
values | reasoning_group stringclasses 2
values | signal stringclasses 2
values | grounding stringclasses 2
values | representation stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
Lit_user_25_2024-08-06 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a... | A | fitness_prediction | health | cross | literature | row |
Lit_user_1_2021-06-12_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 25, Sex: f, BMI: 18.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a low resting heart rate with low dai... | B | fitness_prediction | health | cross | literature | row |
Lit_user_135_2023-11-04_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 46, Sex: f, BMI: 40.2, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "an elevate... | C | fitness_prediction | health | cross | literature | row |
Lit_user_8_2024-01-16_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 41, Sex: f, BMI: 37.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "low resting heart rate wi... | D | fitness_prediction | health | cross | literature | row |
Lit_user_197_2019-05-24 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "a very short sleep duration as the defining feature, with average heart rate and activ... | E | fitness_prediction | health | cross | literature | row |
Lit_user_11_2023-08-10 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 48, Sex: f, BMI: 25.4, Ethnicity: white.eastern
=== BLOOD BIOMARKER PA... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a very long slee... | F | fitness_prediction | health | cross | literature | row |
Lit_user_197_2023-09-30_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a very... | G | fitness_prediction | health | cross | literature | row |
Lit_user_18_2024-06-06_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 62, Sex: m, BMI: 20.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining patter... | H | fitness_prediction | health | cross | literature | row |
Lit_user_24_2023-10-11_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 47, Sex: f, BMI: 23.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a ... | I | fitness_prediction | health | cross | literature | row |
Lit_user_28_2025-05-02_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: f, BMI: 22.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "an elevated ... | J | fitness_prediction | health | cross | literature | row |
Lit_user_34_2024-05-21 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 64, Sex: m, BMI: 25.4, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "an elevated resting heart ra... | A | fitness_prediction | health | cross | literature | row |
Lit_user_39_2022-06-04_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: f, BMI: 26.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "a very short sleep d... | B | fitness_prediction | health | cross | literature | row |
Lit_user_43_2023-10-03_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 26, Sex: f, BMI: 25.5, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "an elevated resting heart rate with hi... | C | fitness_prediction | health | cross | literature | row |
Lit_user_48_2022-09-14_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: f, BMI: 27.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D"... | D | fitness_prediction | health | cross | literature | row |
Lit_user_57_2025-09-04 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 32, Sex: f, BMI: 25.1, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"D": "a... | E | fitness_prediction | health | cross | literature | row |
Lit_user_66_2022-08-11_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 29.2, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signa... | F | fitness_prediction | health | cross | literature | row |
Lit_user_86_2025-12-02 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 35, Sex: f, BMI: 28.8, Ethnicity: black
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "an implaus... | G | fitness_prediction | health | cross | literature | row |
Lit_user_109_2023-10-30_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 39, Sex: m, BMI: 37.3, Ethnicity: black
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining patter... | H | fitness_prediction | health | cross | literature | row |
Lit_user_118_2023-10-22_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 37, Sex: m, BMI: 30.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "an elevated ... | I | fitness_prediction | health | cross | literature | row |
Lit_user_173_2023-03-07_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 49, Sex: f, BMI: 22.6, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a markedly high ... | J | fitness_prediction | health | cross | literature | row |
Lit_user_2_2024-10-09_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 50, Sex: f, BMI: 36.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a markedly high resting h... | A | fitness_prediction | health | cross | literature | row |
Lit_user_8_2024-08-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 41, Sex: f, BMI: 37.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "a very short sleep dura... | B | fitness_prediction | health | cross | literature | row |
Lit_user_25_2024-04-02_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
... | C | fitness_prediction | health | cross | literature | row |
Lit_user_13_2023-11-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 56, Sex: f, BMI: 30.6, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "low re... | D | fitness_prediction | health | cross | literature | row |
Lit_user_34_2023-05-17_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 64, Sex: m, BMI: 25.4, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "a near-average ... | E | fitness_prediction | health | cross | literature | row |
Lit_user_20_2021-12-08_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 33, Sex: f, BMI: 23.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a very lon... | F | fitness_prediction | health | cross | literature | row |
Lit_user_67_2024-02-24 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 65, Sex: m, BMI: 32.0, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "lo... | G | fitness_prediction | health | cross | literature | row |
Lit_user_24_2024-05-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 47, Sex: f, BMI: 23.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
... | H | fitness_prediction | health | cross | literature | row |
Lit_user_88_2025-04-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 32, Sex: m, BMI: 38.3, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "an implausibly low resting heart rate... | I | fitness_prediction | health | cross | literature | row |
Lit_user_28_2022-12-07_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: f, BMI: 22.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a very long sle... | J | fitness_prediction | health | cross | literature | row |
Lit_user_109_2025-12-07_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 39, Sex: m, BMI: 37.3, Ethnicity: black
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "a near-average rest... | A | fitness_prediction | health | cross | literature | row |
Lit_user_39_2022-09-20_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: f, BMI: 26.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"D": "a low resting heart rat... | B | fitness_prediction | health | cross | literature | row |
Lit_user_135_2024-09-22_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 46, Sex: f, BMI: 40.2, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a very long sle... | C | fitness_prediction | health | cross | literature | row |
Lit_user_44_2023-04-22_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 51, Sex: m, BMI: 26.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "l... | D | fitness_prediction | health | cross | literature | row |
Lit_user_181_2023-09-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: m, BMI: 29.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a very short sl... | E | fitness_prediction | health | cross | literature | row |
Lit_user_48_2023-05-03_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: f, BMI: 27.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a very long sleep duration as the defining feature, with average heart rate and activit... | F | fitness_prediction | health | cross | literature | row |
Lit_user_57_2024-07-17 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 32, Sex: f, BMI: 25.1, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "an ele... | G | fitness_prediction | health | cross | literature | row |
Lit_user_118_2025-04-27_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 37, Sex: m, BMI: 30.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a... | H | fitness_prediction | health | cross | literature | row |
Lit_user_197_2022-11-18 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "an elevated resting hear... | I | fitness_prediction | health | cross | literature | row |
Lit_user_14_2024-04-17 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 42, Sex: m, BMI: 25.3, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D": "a ... | J | fitness_prediction | health | cross | literature | row |
Lit_user_3_2022-12-22_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 46, Sex: f, BMI: 25.1, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "an elevated resting heart rate with high da... | A | fitness_prediction | health | cross | literature | row |
Lit_user_25_2023-12-20_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "an implausibly low resting heart r... | B | fitness_prediction | health | cross | literature | row |
Lit_user_8_2025-03-12_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 41, Sex: f, BMI: 37.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "a near-average resting heart rate ... | C | fitness_prediction | health | cross | literature | row |
Lit_user_45_2024-04-01_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: m, BMI: 31.2, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D": "an elevated... | D | fitness_prediction | health | cross | literature | row |
Lit_user_20_2022-06-16_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 33, Sex: f, BMI: 23.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "a very long... | E | fitness_prediction | health | cross | literature | row |
Lit_user_67_2024-06-08_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 65, Sex: m, BMI: 32.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a... | F | fitness_prediction | health | cross | literature | row |
Lit_user_26_2023-05-07_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",... | G | fitness_prediction | health | cross | literature | row |
Lit_user_96_2024-03-04_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 35, Sex: f, BMI: 34.1, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D": "a near-average resti... | H | fitness_prediction | health | cross | literature | row |
Lit_user_30_2021-07-15 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: m, BMI: 20.2, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a markedly ... | I | fitness_prediction | health | cross | literature | row |
Lit_user_119_2025-01-28_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 24, Sex: m, BMI: 44.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "a very short sleep duration as the def... | J | fitness_prediction | health | cross | literature | row |
Lit_user_35_2023-03-03 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 33, Sex: f, BMI: 26.6, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a very long sleep d... | A | fitness_prediction | health | cross | literature | row |
Lit_user_149_2022-11-25_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: m, BMI: 26.6, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "an elevated... | B | fitness_prediction | health | cross | literature | row |
Lit_user_39_2023-07-11_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: f, BMI: 26.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "a ne... | C | fitness_prediction | health | cross | literature | row |
Lit_user_197_2018-06-20 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "an elevated resting heart rate... | D | fitness_prediction | health | cross | literature | row |
Lit_user_50_2024-08-28_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 43, Sex: f, BMI: 24.3, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D... | E | fitness_prediction | health | cross | literature | row |
Lit_user_197_2022-08-12 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "an elevated resting ... | F | fitness_prediction | health | cross | literature | row |
Lit_user_57_2025-06-23 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 32, Sex: f, BMI: 25.1, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "an implausibly low resting heart r... | G | fitness_prediction | health | cross | literature | row |
Lit_user_113_2024-01-24_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: f, BMI: 31.9, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a markedly high... | H | fitness_prediction | health | cross | literature | row |
Lit_user_9_2023-09-01_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: f, BMI: 33.8, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a markedly high resti... | I | fitness_prediction | health | cross | literature | row |
Lit_user_5_2025-01-07_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 25, Sex: f, BMI: 22.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a pattern that is de... | J | fitness_prediction | health | cross | literature | row |
Lit_user_25_2022-05-19 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "an implausibly lo... | A | fitness_prediction | health | cross | literature | row |
Lit_user_15_2023-08-31 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 25, Sex: m, BMI: 24.3, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "an elevated resting heart rat... | B | fitness_prediction | health | cross | literature | row |
Lit_user_37_2024-01-05_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 29, Sex: m, BMI: 36.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D... | C | fitness_prediction | health | cross | literature | row |
Lit_user_21_2024-02-15 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: f, BMI: 19.9, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "lo... | D | fitness_prediction | health | cross | literature | row |
Lit_user_56_2023-11-03_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 28, Sex: f, BMI: 33.9, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "low... | E | fitness_prediction | health | cross | literature | row |
Lit_user_27_2022-10-14 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: m, BMI: 28.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "a very... | F | fitness_prediction | health | cross | literature | row |
Lit_user_67_2024-12-16_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 65, Sex: m, BMI: 32.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a markedly high resting heart ... | G | fitness_prediction | health | cross | literature | row |
Lit_user_30_2023-08-09_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 27, Sex: m, BMI: 20.2, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rat... | H | fitness_prediction | health | cross | literature | row |
Lit_user_98_2024-03-09_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 42, Sex: f, BMI: 46.4, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "a markedly ... | I | fitness_prediction | health | cross | literature | row |
Lit_user_42_2024-04-18_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 43, Sex: f, BMI: 23.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "a ... | J | fitness_prediction | health | cross | literature | row |
Lit_user_120_2023-06-08_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 59, Sex: m, BMI: 30.3, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "an elevated resting heart rate wi... | A | fitness_prediction | health | cross | literature | row |
Lit_user_46_2023-12-16 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: m, BMI: 21.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "a near-average ... | B | fitness_prediction | health | cross | literature | row |
Lit_user_149_2022-07-28 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: m, BMI: 26.6, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "an elevated rest... | C | fitness_prediction | health | cross | literature | row |
Lit_user_57_2024-04-30 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 32, Sex: f, BMI: 25.1, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "l... | D | fitness_prediction | health | cross | literature | row |
Lit_user_197_2018-10-11 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a near-aver... | E | fitness_prediction | health | cross | literature | row |
Lit_user_115_2022-07-20 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 51, Sex: f, BMI: 38.6, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a markedly high resting h... | F | fitness_prediction | health | cross | literature | row |
Lit_user_197_2023-03-31 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"D": "a patte... | G | fitness_prediction | health | cross | literature | row |
Lit_user_16_2025-01-31_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: m, BMI: 30.8, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate... | H | fitness_prediction | health | cross | literature | row |
Lit_user_6_2021-12-04 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 21.7, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "an... | I | fitness_prediction | health | cross | literature | row |
Lit_user_25_2022-01-25_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"... | J | fitness_prediction | health | cross | literature | row |
Lit_user_10_2023-09-13 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 33, Sex: m, BMI: 26.2, Ethnicity: black
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "an elevated resting heart rat... | A | fitness_prediction | health | cross | literature | row |
Lit_user_32_2024-12-15_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a pattern that is defined by the user's ag... | B | fitness_prediction | health | cross | literature | row |
Lit_user_24_2022-07-21_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 47, Sex: f, BMI: 23.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "an elevated res... | C | fitness_prediction | health | cross | literature | row |
Lit_user_56_2023-08-06_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 28, Sex: f, BMI: 33.9, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "an el... | D | fitness_prediction | health | cross | literature | row |
Lit_user_27_2022-02-28_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 31, Sex: m, BMI: 28.5, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a... | E | fitness_prediction | health | cross | literature | row |
Lit_user_120_2024-01-04_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 59, Sex: m, BMI: 30.3, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D... | F | fitness_prediction | health | cross | literature | row |
Lit_user_38_2023-08-11_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 35, Sex: f, BMI: 19.6, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a very long sleep duration as the ... | G | fitness_prediction | health | cross | literature | row |
Lit_user_149_2023-05-19 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 34, Sex: m, BMI: 26.6, Ethnicity: asian
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"C": "a very short sleep duration as the defining feature, with average heart rate and activity",
"D": "a near... | H | fitness_prediction | health | cross | literature | row |
Lit_user_42_2025-02-27 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 43, Sex: f, BMI: 23.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a very sho... | I | fitness_prediction | health | cross | literature | row |
Lit_user_197_2020-06-16 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== SENSOR DATA ===
(no weara... | {
"A": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"B": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"C": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"D": "a very short sleep duration as... | J | fitness_prediction | health | cross | literature | row |
Lit_user_47_2024-02-19_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 40, Sex: m, BMI: 21.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "low resting heart rate with high daily activity (a fit, active pattern)",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a very long sleep duration as the... | A | fitness_prediction | health | cross | literature | row |
Lit_user_58_2022-11-26_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 29, Sex: f, BMI: 25.0, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a markedly high resting heart rate together with a very high daily step count (an overtraining pattern)",
"D": "an im... | B | fitness_prediction | health | cross | literature | row |
Lit_user_82_2023-12-09 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 23, Sex: m, BMI: 23.5, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "a very short sleep duration as the defining feature, with average heart rate and activity",
"C": "low resting heart rate with high daily activity (a fit, active pattern)",
"D": "a pattern that is defined by ... | C | fitness_prediction | health | cross | literature | row |
Lit_user_99_2024-05-22 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 47, Sex: f, BMI: 17.9, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a very short sleep duration as the defining feature, with average heart rate and activity",
"B": "a very long sleep duration as the defining feature, with average heart rate and activity",
"C": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"D": "l... | D | fitness_prediction | health | cross | literature | row |
Lit_user_115_2023-07-19_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 51, Sex: f, BMI: 38.6, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"B": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "a markedly high r... | E | fitness_prediction | health | cross | literature | row |
Lit_user_197_2025-08-18_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 60, Sex: m, BMI: 28.1, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"B": "a low resting heart rate with low daily activity (fit heart rate but sedentary)",
"C": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"D": "a markedly high rest... | F | fitness_prediction | health | cross | literature | row |
Lit_user_25_2025-03-27_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 58, Sex: f, BMI: 39.7, Ethnicity: white
=== BLOOD BIOMARKER PANEL ===
... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "a pattern that is defined by the user's age and sex alone, independent of any physiological signal",
"C": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
... | G | fitness_prediction | health | cross | literature | row |
Lit_user_7_2024-08-30 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 25, Sex: m, BMI: 20.3, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "an implausibly low resting heart rate (~30 bpm) together with near-maximal daily activity every day",
"C": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"D": "a very... | H | fitness_prediction | health | cross | literature | row |
Lit_user_32_2025-07-25_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic
=== BLOOD BIOMARKER PANEL =... | {
"A": "an elevated resting heart rate with high daily activity (active but elevated heart rate)",
"B": "low resting heart rate with high daily activity (a fit, active pattern)",
"C": "a very long sleep duration as the defining feature, with average heart rate and activity",
"D": "an implausibly low resting hea... | I | fitness_prediction | health | cross | literature | row |
Lit_user_11_2024-07-30_1 | You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer.
=== USER PROFILE ===
Age: 48, Sex: f, BMI: 25.4, Ethnicity: white.eastern
=== BLOOD BIOMARKER PA... | {
"A": "a very long sleep duration as the defining feature, with average heart rate and activity",
"B": "an elevated resting heart rate with low daily activity (an unfit, sedentary pattern)",
"C": "a near-average resting heart rate and near-average daily activity (unremarkable)",
"D": "a low resting heart rate ... | J | fitness_prediction | health | cross | literature | row |
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