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--- |
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license: mit |
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dataset_info: |
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- config_name: breq |
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features: |
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- name: 'Unnamed: 0' |
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dtype: int64 |
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dtype: string |
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dtype: string |
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- name: breq_amotivation |
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dtype: float64 |
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dtype: float64 |
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dtype: float64 |
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dtype: string |
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splits: |
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num_bytes: 11231 |
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num_examples: 92 |
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download_size: 7649 |
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dataset_size: 11231 |
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- config_name: daily |
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features: |
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- name: 'Unnamed: 0' |
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dtype: string |
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dtype: string |
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dtype: string |
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- name: nightly_temperature |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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- name: distance |
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dtype: string |
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dtype: string |
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- name: bpm |
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dtype: string |
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- name: lightly_active_minutes |
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dtype: string |
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- name: moderately_active_minutes |
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dtype: string |
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- name: very_active_minutes |
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dtype: string |
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dtype: string |
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- name: scl_avg |
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dtype: string |
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- name: resting_hr |
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dtype: string |
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- name: sleep_duration |
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dtype: string |
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- name: minutesToFallAsleep |
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dtype: string |
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dtype: string |
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dtype: string |
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dtype: string |
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- name: sleep_efficiency |
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dtype: string |
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dtype: string |
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- name: sleep_wake_ratio |
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dtype: string |
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- name: sleep_light_ratio |
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dtype: string |
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dtype: string |
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- name: steps |
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dtype: string |
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- name: minutes_in_default_zone_1 |
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dtype: string |
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- name: minutes_below_default_zone_1 |
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dtype: string |
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- name: minutes_in_default_zone_2 |
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dtype: string |
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- name: minutes_in_default_zone_3 |
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dtype: string |
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- name: age |
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dtype: string |
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- name: gender |
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dtype: string |
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- name: bmi |
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dtype: string |
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- name: step_goal |
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dtype: string |
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- name: min_goal |
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dtype: string |
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- name: max_goal |
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dtype: string |
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- name: step_goal_label |
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- name: ALERT |
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- name: HAPPY |
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- name: RESTED/RELAXED |
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- name: ENTERTAINMENT |
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- name: HOME |
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- name: HOME_OFFICE |
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- name: OTHER |
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dtype: string |
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- name: OUTDOORS |
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dtype: string |
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- name: TRANSIT |
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dtype: string |
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- name: WORK/SCHOOL |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 3513566 |
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num_examples: 7410 |
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download_size: 993037 |
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dataset_size: 3513566 |
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- config_name: hourly |
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features: |
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- name: 'Unnamed: 0' |
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dtype: string |
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- name: id |
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dtype: string |
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- name: date |
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dtype: string |
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- name: hour |
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dtype: string |
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- name: temperature |
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dtype: string |
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- name: badgeType |
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dtype: string |
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- name: calories |
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dtype: string |
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- name: distance |
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dtype: string |
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- name: activityType |
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dtype: string |
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- name: bpm |
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dtype: string |
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- name: mindfulness_session |
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dtype: string |
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- name: scl_avg |
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dtype: string |
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- name: steps |
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dtype: string |
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- name: minutes_in_default_zone_1 |
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dtype: string |
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- name: minutes_below_default_zone_1 |
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dtype: string |
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- name: minutes_in_default_zone_2 |
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dtype: string |
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- name: minutes_in_default_zone_3 |
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dtype: string |
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- name: age |
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dtype: string |
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- name: gender |
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dtype: string |
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- name: bmi |
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dtype: string |
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- name: step_goal |
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dtype: string |
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- name: min_goal |
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dtype: string |
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- name: max_goal |
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dtype: string |
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- name: step_goal_label |
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dtype: string |
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- name: ALERT |
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dtype: string |
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- name: HAPPY |
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dtype: string |
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- name: NEUTRAL |
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dtype: string |
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- name: RESTED/RELAXED |
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dtype: string |
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- name: SAD |
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dtype: string |
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- name: TENSE/ANXIOUS |
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dtype: string |
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- name: TIRED |
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dtype: string |
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- name: ENTERTAINMENT |
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dtype: string |
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- name: GYM |
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dtype: string |
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- name: HOME |
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dtype: string |
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- name: HOME_OFFICE |
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dtype: string |
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- name: OTHER |
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dtype: string |
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- name: OUTDOORS |
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dtype: string |
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- name: TRANSIT |
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dtype: string |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 40337488 |
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dataset_size: 40337488 |
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- config_name: panas |
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- name: 'Unnamed: 0' |
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dtype: int64 |
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dtype: string |
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- name: submitdate |
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dtype: string |
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- name: positive_affect_score |
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dtype: int64 |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 20100 |
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num_examples: 268 |
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download_size: 5874 |
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dataset_size: 20100 |
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- config_name: personality |
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features: |
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- name: 'Unnamed: 0' |
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dtype: int64 |
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- name: user_id |
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- name: submitdate |
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dtype: string |
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- name: extraversion |
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dtype: float64 |
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- name: agreeableness |
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dtype: float64 |
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- name: conscientiousness |
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dtype: float64 |
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- name: stability |
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dtype: float64 |
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- name: intellect |
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dtype: float64 |
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- name: gender |
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dtype: string |
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- name: ipip_extraversion_category |
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dtype: string |
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- name: ipip_agreeableness_category |
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dtype: string |
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- name: ipip_conscientiousness_category |
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dtype: string |
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- name: ipip_stability_category |
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dtype: string |
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- name: ipip_intellect_category |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 7533 |
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num_examples: 50 |
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download_size: 9982 |
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dataset_size: 7533 |
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- config_name: stai |
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features: |
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- name: 'Unnamed: 0' |
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dtype: int64 |
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- name: user_id |
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dtype: string |
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- name: type |
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dtype: string |
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- name: submitdate |
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dtype: string |
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- name: stai_stress |
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dtype: float64 |
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- name: stai_stress_category |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 22545 |
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num_examples: 279 |
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download_size: 5552 |
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dataset_size: 22545 |
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- config_name: ttm |
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features: |
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- name: 'Unnamed: 0' |
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dtype: int64 |
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- name: user_id |
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- name: stage |
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dtype: string |
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- name: ttm_consciousness_raising |
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dtype: float64 |
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dtype: float64 |
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- name: ttm_environmental_reevaluation |
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dtype: float64 |
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- name: ttm_self_reevaluation |
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dtype: float64 |
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- name: ttm_social_liberation |
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dtype: float64 |
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- name: ttm_counterconditioning |
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dtype: float64 |
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dtype: float64 |
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dtype: float64 |
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- name: ttm_self_liberation |
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dtype: float64 |
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- name: ttm_stimulus_control |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 14684 |
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num_examples: 94 |
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download_size: 11135 |
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dataset_size: 14684 |
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configs: |
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- config_name: breq |
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data_files: |
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- split: train |
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path: breq/train-* |
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- config_name: daily |
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data_files: |
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- split: train |
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path: daily/train-* |
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- config_name: hourly |
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data_files: |
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- split: train |
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path: hourly/train-* |
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- config_name: panas |
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data_files: |
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- split: train |
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path: panas/train-* |
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- config_name: personality |
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data_files: |
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- split: train |
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path: personality/train-* |
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- config_name: stai |
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data_files: |
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- split: train |
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path: stai/train-* |
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- config_name: ttm |
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data_files: |
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- split: train |
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path: ttm/train-* |
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--- |
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- PAPER: https://www.nature.com/articles/s41597-022-01764-x |
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BREQ-2. For the BREQ-2 scale, each item is again assigned to a factor on which that item is scored (i.e., of the |
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fve factors: (1) Amotivation, (2) External regulation, (3) Introjected regulation, (4) Identifed regulation, (5) |
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Intrinsic regulation). Once scores are assigned to all of the items, we calculate each user’s mean for every factor, according to the scoring instructions (http://exercise-motivation.bangor.ac.uk/breq/brqscore.php). We also |
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create a categorical variable describing the self-determination level for each user, namely the maximum scoring |
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factor. |
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PANAS. For the PANAS scale, each item contributes to one of two afect scores (i.e. (1) Positive Afect Score, |
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or (2) Negative Afect Score). Once items are assigned to a factor, we sum up the item scores per factor as per |
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the scoring instructions (https://ogg.osu.edu/media/documents/MB%20Stream/PANAS.pdf). Scores can range |
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from 10 to 50, with higher scores representing higher levels of positive or negative afect, respectively. |
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TTM. For the TTM scale, each user is assigned a stage of change (i.e., of the fve stages: (1) Maintenance, (2) |
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Action, (3) Preparation, (4) Contemplation, or (5) Precontemplation) based on their response to the respective scale. Regarding the Processes of Change for Physical Activity, each item is assigned to a factor on which |
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that item is scored (i.e., of the 10 factors: (1) Consciousness Raising, (2) Dramatic Relief, (3) Environmental |
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Reevaluation, (4) Self Reevaluation, (5) Social Liberation, (6) Counterconditioning, (7) Helping Relationships, |
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(8) Reinforcement Management, (9) Self Liberation, or (10) Stimulus Control). Once scores are assigned to all |
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of the items, we calculate each user’s mean for every factor, according to the scoring instructions (https://hbcrworkgroup.weebly.com/transtheoretical-model-applied-to-physical-activity.html). |
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S-STAI. For the S-STAI scale, we initially reverse scores of the positively connotated items, and then total the scoring weights, resulting in the STAI score (the higher the score the more stressed the participant feels) as per the scoring instructions (https://oml.eular.org/sysModules/obxOML/docs/id_150/State-Trait-Anxiety-Inventory.pdf). |
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To assign some interpretation to the numerical value, we also create a categorical variable, assigning each user |
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to a STAI stress level (i.e., of three levels, (1) below average, (2) average, or (3) above average STAI score). Note |
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that due to human error, the S-STAI scale was administered with a 5-point Likert scale instead of a 4-point one. |
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During processing, we convert each item to a 4-point scale in accordance with the original. |
