LifeSnaps_dataset / README.md
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metadata
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-*

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

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.