Dataset Viewer
idx
int64 0
99
| Timestamp
stringlengths 16
16
| Mood Description
stringlengths 14
40
| Intensity
stringclasses 5
values | Context
stringlengths 18
50
|
|---|---|---|---|---|
0 |
2023-01-01 08:00
|
Feeling energized and positive
|
High
|
Woke up to sunny weather
|
1 |
2023-01-01 14:30
|
Slightly stressed due to workload
|
Medium
|
Before an important meeting
|
2 |
2023-01-02 09:15
|
Happy and content with family
|
High
|
Weekend family gathering
|
3 |
2023-01-02 21:45
|
Melancholic and introspective
|
Low
|
Listened to a favorite song
|
4 |
2023-01-03 18:00
|
Frustrated and overwhelmed
|
High
|
Faced a technical issue at work
|
5 |
2023-01-04 12:00
|
Relaxed and calm
|
Low
|
Had a quiet lunch at home
|
6 |
2023-01-04 07:45
|
Calm and focused
|
Medium
|
Morning meditation session
|
7 |
2023-01-04 07:30
|
Content and relaxed
|
Medium
|
Morning coffee before starting work
|
8 |
2023-01-04 07:45
|
Calm and focused
|
Medium
|
Morning meditation session
|
9 |
2023-01-04 10:25
|
Intrigued by a new hobby
|
Medium
|
Started learning photography
|
10 |
2023-01-04 07:45
|
Calm and focused
|
Medium
|
Preparing for a morning jog
|
12 |
2023-02-15 12:00
|
Relieved after solving a complex problem
|
High
|
Completed a difficult project at work
|
13 |
2023-01-04 07:00
|
Reflective and serene
|
Medium
|
Morning meditation
|
15 |
2023-01-04 17:00
|
Anxious about upcoming trip
|
Medium
|
Packing bags for travel
|
16 |
2023-01-04 20:20
|
Excited about an upcoming trip
|
High
|
Looked at the travel itinerary
|
17 |
2023-01-04 17:00
|
Excited and adventurous
|
High
|
Planning a weekend trip
|
18 |
2023-01-04 20:20
|
Excited about an upcoming trip
|
High
|
Looked at the travel itinerary
|
19 |
2023-01-04 22:00
|
Relaxed and at peace
|
High
|
Enjoyed a quiet evening with a good book
|
20 |
2023-01-04 12:30
|
Content and peaceful
|
Medium
|
Enjoying a quiet lunch alone
|
22 |
2023-02-18 22:30
|
Sleepy and drowsy after a long day
|
Low
|
A relaxing evening at home
|
23 |
2023-01-04 19:00
|
Anxious and jittery
|
High
|
Anticipating a public speaking event
|
25 |
2023-01-05 07:30
|
Refreshed and motivated
|
High
|
Morning workout completed
|
26 |
2023-01-05 13:00
|
Sadness after a long day
|
Medium
|
Received news of a distant relative's health issue
|
27 |
2023-01-05 20:00
|
Anxious and nervous
|
Medium
|
Preparing for an interview
|
28 |
2023-01-05 13:00
|
Slightly annoyed with a friend
|
Medium
|
Disagreement over plans
|
29 |
2023-01-05 13:30
|
Disheartened by a missed opportunity
|
Low
|
Failed to qualify for a sports event
|
30 |
2023-01-05 20:00
|
Excited and adventurous
|
High
|
Starting a new hobby
|
32 |
2023-02-20 17:00
|
Excited about an upcoming vacation
|
Very High
|
Planning details for the trip
|
33 |
2023-01-05 22:30
|
Terrified and panicked
|
High
|
Heard a loud noise in the night
|
35 |
2023-01-05 20:00
|
Indifferent and apathetic
|
Low
|
Workday end with routine tasks
|
36 |
2023-01-05 22:10
|
Content with routine
|
Low
|
Went for a regular evening walk
|
37 |
2023-01-06 12:00
|
Satisfied and accomplished
|
High
|
Completed a challenging project
|
38 |
2023-01-05 22:00
|
Tired but satisfied
|
Low
|
Finished reading a good book
|
39 |
2023-01-05 17:00
|
Content with routine
|
Medium
|
Casual conversation with a longtime friend
|
40 |
2023-01-06 15:20
|
Anxious and nervous
|
High
|
Waiting for exam results
|
42 |
2023-02-25 06:45
|
Anxious before a job interview
|
High
|
Studying the company profile
|
43 |
2023-01-06 16:00
|
Relieved and satisfied
|
Medium
|
Completed a challenging project
|
45 |
2023-01-06 10:30
|
Joyful and excited
|
High
|
Received news of a friend's engagement
|
46 |
2023-01-06 15:30
|
Anxious about personal goals
|
High
|
Prepared for a big presentation
|
47 |
2023-01-07 13:00
|
Calm and peaceful
|
Low
|
Quiet time reading a book
|
48 |
2023-01-06 09:30
|
Eager to start the day
|
High
|
Heard about a new project at work
|
49 |
2023-01-06 15:00
|
Overwhelmed by clutter
|
Low
|
In a state of disarray after redecorating
|
50 |
2023-01-07 22:00
|
Relaxed and satisfied
|
Low
|
Watching a favorite movie at home
|
52 |
2023-03-02 13:30
|
Content and peaceful
|
Meditative state
|
Spent time in nature
|
53 |
2023-01-07 13:45
|
Irritated and annoyed
|
Medium
|
Long traffic jam on the way to work
|
55 |
2023-01-06 22:45
|
Lonely and sad
|
Low
|
Spent evening alone at home
|
56 |
2023-01-07 11:00
|
Joyful during playtime with pets
|
High
|
Played fetch with the dog
|
57 |
2023-01-08 09:00
|
Inspired and creative
|
High
|
Started a new art project
|
58 |
2023-01-06 16:50
|
Content with a quiet evening
|
Low
|
Enjoyed a peaceful night's sleep
|
59 |
2023-01-06 20:30
|
Bursting with joy
|
High
|
Celebrated a personal milestone with family
|
60 |
2023-01-08 08:30
|
Joyful and lively
|
High
|
Celebrating a friend's birthday
|
62 |
2023-03-05 19:00
|
Upset due to a miscommunication
|
Medium
|
Discussed an important matter with a friend
|
63 |
2023-01-08 20:00
|
Elated and thrilled
|
High
|
Won a personal award
|
65 |
2023-01-07 16:00
|
Tense and worried
|
High
|
Preparing for an important job interview
|
66 |
2023-01-08 17:30
|
Sad and nostalgic
|
Medium
|
Watched old family videos
|
68 |
2023-01-07 11:20
|
Nervous about an interview
|
High
|
Preparing questions for the interviewer
|
69 |
2023-01-07 12:45
|
Excited for a job interview
|
High
|
Preparing for a significant career opportunity
|
70 |
2023-01-09 17:00
|
Tired and drained
|
Low
|
Long day at work with minimal rest
|
72 |
2023-03-07 23:55
|
Inspired by reading a motivational book
|
Very High
|
Reflecting on personal goals
|
73 |
2023-01-09 11:00
|
Disinterested and apathetic
|
Low
|
Working on a task that feels unimportant
|
75 |
2023-01-08 13:15
|
Ecstatic and elated
|
High
|
Celebrated a birthday with friends
|
76 |
2023-01-09 09:00
|
Overwhelmed with new project
|
High
|
Started a challenging work project
|
78 |
2023-01-07 19:35
|
Reflective after a long walk
|
Medium
|
Thoughts on personal growth
|
79 |
2023-01-07 19:30
|
Worried about a health concern
|
High
|
Had an appointment with a doctor
|
80 |
2023-01-10 23:30
|
Reflective and introspective
|
Medium
|
Reading a self-help book
|
82 |
2023-03-10 16:00
|
Curious about trying new experiences
|
Medium
|
Attended a cultural event
|
83 |
2023-01-10 09:30
|
Grateful and appreciative
|
High
|
Had a heartfelt conversation with a friend
|
85 |
2023-01-09 19:00
|
Disappointed and let down
|
Medium
|
Discovered a mistake in an important document
|
86 |
2023-01-10 23:45
|
Relaxed after a relaxing shower
|
Medium
|
Enjoyed a hot bath
|
88 |
2023-01-08 12:45
|
Indifferent to daily routines
|
Low
|
Spent the day in a familiar setting
|
89 |
2023-01-08 08:00
|
Reflective and nostalgic
|
Low
|
Reminiscing about childhood memories
|
90 |
2023-01-11 10:00
|
Stressed and overwhelmed
|
High
|
Dealing with a sudden deadline
|
92 |
2023-03-15 07:30
|
Eager to start a new hobby
|
High
|
Taking an online course in painting
|
93 |
2023-01-11 17:45
|
Exhausted and drained
|
Medium
|
Took care of a sick family member
|
95 |
2023-01-10 09:00
|
Surprised and shocked
|
High
|
Found an unexpected parking ticket on car
|
96 |
2023-01-11 12:00
|
Grateful after a good meal
|
High
|
Had lunch with a friend and shared stories
|
98 |
2023-01-09 23:50
|
Proud after completing a task
|
Medium
|
Finished a challenging project
|
99 |
2023-01-08 21:15
|
Adventurous and curious
|
High
|
Went on a spontaneous road trip
|
MoodPatterns
tags: mood analysis, pattern recognition, time series
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'MoodPatterns' dataset comprises time-stamped entries that track individuals' moods over various periods. Each record contains a timestamp, mood description, intensity level, and additional contextual factors that might influence the mood. The goal is to aid in mood analysis and pattern recognition to better understand and predict mood variations.
CSV Content Preview:
Timestamp,Mood Description,Intensity,Context
2023-01-01 08:00,Feeling energized and positive,High,Woke up to sunny weather
2023-01-01 14:30,Slightly stressed due to workload,Medium,Before an important meeting
2023-01-02 09:15,Happy and content with family,High,Weekend family gathering
2023-01-02 21:45,Melancholic and introspective,Low,Listened to a favorite song
2023-01-03 18:00,Frustrated and overwhelmed,High,Faced a technical issue at work
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'mood tracker':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=mood+tracker&dataset=MoodPatterns&tags=mood+analysis,+pattern+recognition,+time+series
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub
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