--- license: mit dataset_info: - config_name: breq features: - name: 'Unnamed: 0' dtype: int64 - name: user_id dtype: string - name: type dtype: string - name: submitdate dtype: string - name: breq_amotivation dtype: float64 - name: breq_external_regulation dtype: float64 - name: breq_introjected_regulation dtype: float64 - name: breq_identified_regulation dtype: float64 - name: breq_intrinsic_regulation dtype: float64 - name: breq_self_determination dtype: string splits: - name: train num_bytes: 11231 num_examples: 92 download_size: 7649 dataset_size: 11231 - config_name: daily features: - name: 'Unnamed: 0' dtype: string - name: id dtype: string - name: date dtype: string - name: nightly_temperature dtype: string - name: nremhr dtype: string - name: rmssd dtype: string - name: spo2 dtype: string - name: full_sleep_breathing_rate dtype: string - name: stress_score dtype: string - name: sleep_points_percentage dtype: string - name: exertion_points_percentage dtype: string - name: responsiveness_points_percentage dtype: string - name: daily_temperature_variation dtype: string - name: badgeType dtype: string - name: calories dtype: string - name: filteredDemographicVO2Max dtype: string - name: distance dtype: string - name: activityType dtype: string - name: bpm dtype: string - name: lightly_active_minutes dtype: string - name: moderately_active_minutes dtype: string - name: very_active_minutes dtype: string - name: sedentary_minutes dtype: string - name: mindfulness_session dtype: string - name: scl_avg dtype: string - name: resting_hr dtype: string - name: sleep_duration dtype: string - name: minutesToFallAsleep dtype: string - name: minutesAsleep dtype: string - name: minutesAwake dtype: string - name: minutesAfterWakeup dtype: string - name: sleep_efficiency dtype: string - name: sleep_deep_ratio dtype: string - name: sleep_wake_ratio dtype: string - name: sleep_light_ratio dtype: string - name: sleep_rem_ratio dtype: string - name: steps dtype: string - name: minutes_in_default_zone_1 dtype: string - name: minutes_below_default_zone_1 dtype: string - name: minutes_in_default_zone_2 dtype: string - name: minutes_in_default_zone_3 dtype: string - name: age dtype: string - name: gender dtype: string - name: bmi dtype: string - name: step_goal dtype: string - name: min_goal dtype: string - name: max_goal dtype: string - name: step_goal_label dtype: string - name: ALERT dtype: string - name: HAPPY dtype: string - name: NEUTRAL dtype: string - name: RESTED/RELAXED dtype: string - name: SAD dtype: string - name: TENSE/ANXIOUS dtype: string - name: TIRED dtype: string - name: ENTERTAINMENT dtype: string - name: GYM dtype: string - name: HOME dtype: string - name: HOME_OFFICE dtype: string - name: OTHER dtype: string - name: OUTDOORS dtype: string - name: TRANSIT dtype: string - name: WORK/SCHOOL dtype: string splits: - name: train num_bytes: 3513566 num_examples: 7410 download_size: 993037 dataset_size: 3513566 - config_name: hourly features: - name: 'Unnamed: 0' dtype: string - name: id dtype: string - name: date dtype: string - name: hour dtype: string - name: temperature dtype: string - name: badgeType dtype: string - name: calories dtype: string - name: distance dtype: string - name: activityType dtype: string - name: bpm dtype: string - name: mindfulness_session dtype: string - name: scl_avg dtype: string - name: steps dtype: string - name: minutes_in_default_zone_1 dtype: string - name: minutes_below_default_zone_1 dtype: string - name: minutes_in_default_zone_2 dtype: string - name: minutes_in_default_zone_3 dtype: string - name: age dtype: string - name: gender dtype: string - name: bmi dtype: string - name: step_goal dtype: string - name: min_goal dtype: string - name: max_goal dtype: string - name: step_goal_label dtype: string - name: ALERT dtype: string - name: HAPPY dtype: string - name: NEUTRAL dtype: string - name: RESTED/RELAXED dtype: string - name: SAD dtype: string - name: TENSE/ANXIOUS dtype: string - name: TIRED dtype: string - name: ENTERTAINMENT dtype: string - name: GYM dtype: string - name: HOME dtype: string - name: HOME_OFFICE dtype: string - name: OTHER dtype: string - name: OUTDOORS dtype: string - name: TRANSIT dtype: string - name: WORK/SCHOOL dtype: string splits: - name: train num_bytes: 40337488 num_examples: 159508 download_size: 6556319 dataset_size: 40337488 - config_name: panas features: - name: 'Unnamed: 0' dtype: int64 - name: user_id dtype: string - name: type dtype: string - name: submitdate dtype: string - name: positive_affect_score dtype: int64 - name: negative_affect_score dtype: int64 splits: - name: train num_bytes: 20100 num_examples: 268 download_size: 5874 dataset_size: 20100 - config_name: personality features: - name: 'Unnamed: 0' dtype: int64 - name: user_id dtype: string - name: type dtype: string - name: submitdate dtype: string - name: extraversion dtype: float64 - name: agreeableness dtype: float64 - name: conscientiousness dtype: float64 - name: stability dtype: float64 - name: intellect dtype: float64 - name: gender dtype: string - name: ipip_extraversion_category dtype: string - name: ipip_agreeableness_category dtype: string - name: ipip_conscientiousness_category dtype: string - name: ipip_stability_category dtype: string - name: ipip_intellect_category dtype: string splits: - name: train num_bytes: 7533 num_examples: 50 download_size: 9982 dataset_size: 7533 - config_name: stai features: - name: 'Unnamed: 0' dtype: int64 - name: user_id dtype: string - name: type dtype: string - name: submitdate dtype: string - name: stai_stress dtype: float64 - name: stai_stress_category dtype: string splits: - name: train num_bytes: 22545 num_examples: 279 download_size: 5552 dataset_size: 22545 - config_name: ttm features: - name: 'Unnamed: 0' dtype: int64 - name: user_id dtype: string - name: type dtype: string - name: submitdate dtype: string - name: stage dtype: string - name: ttm_consciousness_raising dtype: float64 - name: ttm_dramatic_relief dtype: float64 - name: ttm_environmental_reevaluation dtype: float64 - name: ttm_self_reevaluation dtype: float64 - name: ttm_social_liberation dtype: float64 - name: ttm_counterconditioning dtype: float64 - name: ttm_helping_relationships dtype: float64 - name: ttm_reinforcement_management dtype: float64 - name: ttm_self_liberation dtype: float64 - name: ttm_stimulus_control dtype: float64 splits: - name: train num_bytes: 14684 num_examples: 94 download_size: 11135 dataset_size: 14684 configs: - config_name: breq data_files: - split: train path: breq/train-* - config_name: daily data_files: - split: train path: daily/train-* - config_name: hourly data_files: - split: train path: hourly/train-* - config_name: panas data_files: - split: train path: panas/train-* - config_name: personality data_files: - split: train path: personality/train-* - config_name: stai data_files: - split: train path: stai/train-* - config_name: ttm data_files: - split: train path: ttm/train-* --- - PAPER: https://www.nature.com/articles/s41597-022-01764-x 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 fve factors: (1) Amotivation, (2) External regulation, (3) Introjected regulation, (4) Identifed regulation, (5) 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 create a categorical variable describing the self-determination level for each user, namely the maximum scoring factor. PANAS. For the PANAS scale, each item contributes to one of two afect scores (i.e. (1) Positive Afect Score, or (2) Negative Afect Score). Once items are assigned to a factor, we sum up the item scores per factor as per the scoring instructions (https://ogg.osu.edu/media/documents/MB%20Stream/PANAS.pdf). Scores can range from 10 to 50, with higher scores representing higher levels of positive or negative afect, respectively. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b29494689a9a230135dc2c/69IOcxj7mz3DRKz2Zw89D.png) TTM. For the TTM scale, each user is assigned a stage of change (i.e., of the fve stages: (1) Maintenance, (2) 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 that item is scored (i.e., of the 10 factors: (1) Consciousness Raising, (2) Dramatic Relief, (3) Environmental Reevaluation, (4) Self Reevaluation, (5) Social Liberation, (6) Counterconditioning, (7) Helping Relationships, (8) Reinforcement Management, (9) Self Liberation, or (10) Stimulus Control). Once scores are assigned to all 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). 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). To assign some interpretation to the numerical value, we also create a categorical variable, assigning each user to a STAI stress level (i.e., of three levels, (1) below average, (2) average, or (3) above average STAI score). Note that due to human error, the S-STAI scale was administered with a 5-point Likert scale instead of a 4-point one. During processing, we convert each item to a 4-point scale in accordance with the original.