BedtimePatterns

tags: habit, analysis, clustering) - Dataset detailing various bedtime habits for clustering analysis

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'BedtimePatterns' dataset is designed to assist machine learning practitioners in understanding and analyzing different bedtime habits across a diverse population. It includes information that can be used for clustering analysis to discover patterns and correlations in sleep behaviors.

CSV Content Preview:

id,participant_id,age,gender,bedtime_habit,bedtime_consistency,wake_up_time,sleep_quality,activity_before_bed,screen_time_before_bed,sleep_duration,sleep_issues,labels
1,001,29,Female,Reading,High,6:30 AM,Excellent,No,20 mins,8 hours,None,Relaxation_Enthusiast
2,002,42,Male,Watching TV,Low,7:45 AM,Poor,Yes,1 hour,6 hours,Insomnia,Night_Owl
3,003,35,Female,Listening to Music,Medium,6:15 AM,Good,No,30 mins,7 hours,None,Sound_Sleeper
4,004,27,Male,Meditating,High,5:30 AM,Excellent,Yes,0 mins,9 hours,None,Mindfulness_Practitioner
5,005,31,Female,Exercising,Low,8:00 AM,Fair,Yes,1.5 hours,5 hours,Sleep Apnea,Exercise_Avoidant

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'sleep':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=sleep&dataset=BedtimePatterns&tags=habit,+analysis,+clustering)+-+Dataset+detailing+various+bedtime+habits+for+clustering+analysis
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub