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date
stringdate
2026-07-01 00:00:00
2026-07-31 00:00:00
symptom_score
int64
1
5
medication_adherence
stringclasses
2 values
sleep_hours
float64
4.5
9.5
exercise_minutes
int64
0
116
notes
stringlengths
21
41
2026-07-01
2
No
9
80
Relaxed weekend, low symptoms
2026-07-01
3
No
9.5
38
Productive day, felt focused
2026-07-01
4
Yes
9
27
Went for a long walk in the park
2026-07-02
4
Yes
4.5
69
Woke up once during the night
2026-07-02
4
Yes
7.5
44
Productive day, felt focused
2026-07-02
1
Yes
5
47
Low appetite at lunch
2026-07-03
2
Yes
5.5
60
Felt a bit anxious before bed
2026-07-03
4
Yes
8.5
115
Light dizziness after waking up
2026-07-03
4
Yes
7
47
Light dizziness after waking up
2026-07-04
1
Yes
8
0
Good day overall, no complaints
2026-07-04
3
Yes
9
65
Good energy throughout the day
2026-07-04
5
Yes
5.5
30
Struggled to fall asleep
2026-07-05
3
Yes
9
21
Slept deeply, no interruptions
2026-07-05
5
Yes
9.5
44
High stress at work, tension in shoulders
2026-07-05
2
Yes
5
22
Felt well rested in the morning
2026-07-06
2
Yes
4.5
16
Good energy throughout the day
2026-07-06
4
Yes
9.5
47
Slight cough, otherwise fine
2026-07-07
4
Yes
8
72
null
2026-07-07
4
Yes
7.5
16
Slight fatigue after work
2026-07-08
1
Yes
7
66
Slept deeply, no interruptions
2026-07-08
4
Yes
7.5
29
Good energy throughout the day
2026-07-08
3
Yes
8.5
0
Productive day, felt focused
2026-07-09
1
No
6
30
Mood improved after evening exercise
2026-07-09
1
Yes
4.5
76
High stress at work, tension in shoulders
2026-07-09
3
Yes
8.5
45
Good day overall, no complaints
2026-07-10
2
No
9
31
Mild headache in the afternoon
2026-07-10
1
Yes
8.5
93
Light dizziness after waking up
2026-07-11
2
Yes
5
51
Mood improved after evening exercise
2026-07-11
2
No
9
16
Woke up once during the night
2026-07-12
4
Yes
8.5
23
Low appetite at lunch
2026-07-12
3
Yes
5.5
39
Good energy throughout the day
2026-07-13
1
Yes
9
64
Light dizziness after waking up
2026-07-13
3
Yes
7
116
Good day overall, no complaints
2026-07-14
2
Yes
8.5
49
Light dizziness after waking up
2026-07-14
1
Yes
8.5
18
Went for a long walk in the park
2026-07-14
3
Yes
5
34
Felt rested, ready for training
2026-07-15
2
Yes
6
57
Relaxed weekend, low symptoms
2026-07-15
3
No
4.5
0
Felt a bit anxious before bed
2026-07-16
1
Yes
5.5
38
High stress at work, tension in shoulders
2026-07-16
4
Yes
8.5
0
null
2026-07-17
5
No
8.5
0
Productive day, felt focused
2026-07-17
2
Yes
4.5
16
Slept deeply, no interruptions
2026-07-17
5
Yes
5
28
Went for a long walk in the park
2026-07-18
3
Yes
5.5
61
Low appetite at lunch
2026-07-18
3
Yes
6
18
Mild headache in the afternoon
2026-07-18
4
Yes
8
22
Slept deeply, no interruptions
2026-07-19
3
Yes
5
77
Light dizziness after waking up
2026-07-19
3
Yes
8.5
15
null
2026-07-19
3
Yes
6.5
0
Took medication as prescribed
2026-07-20
5
Yes
7.5
46
null
2026-07-20
4
Yes
4.5
30
Productive day, felt focused
2026-07-21
5
Yes
9.5
28
null
2026-07-21
5
No
9
18
Good day overall, no complaints
2026-07-21
4
Yes
7.5
24
Slept deeply, no interruptions
2026-07-22
3
Yes
7.5
58
Slight cough, otherwise fine
2026-07-22
3
Yes
4.5
21
Slight cough, otherwise fine
2026-07-22
4
Yes
8
21
Struggled to fall asleep
2026-07-23
4
Yes
8.5
49
Some joint discomfort in the evening
2026-07-23
5
Yes
6
16
Relaxed weekend, low symptoms
2026-07-23
4
Yes
5
58
Slept deeply, no interruptions
2026-07-24
5
Yes
8
19
Felt well rested in the morning
2026-07-24
5
Yes
5
37
Light dizziness after waking up
2026-07-24
3
Yes
6
67
High stress at work, tension in shoulders
2026-07-25
5
Yes
8.5
60
High stress at work, tension in shoulders
2026-07-25
4
Yes
8.5
29
Relaxed weekend, low symptoms
2026-07-26
3
Yes
6
77
Light dizziness after waking up
2026-07-26
4
Yes
6.5
24
Low appetite at lunch
2026-07-26
3
No
5
22
Went for a long walk in the park
2026-07-27
5
Yes
7.5
29
Slept deeply, no interruptions
2026-07-27
3
Yes
9
61
Slight cough, otherwise fine
2026-07-28
3
Yes
7
27
Woke up once during the night
2026-07-28
4
Yes
8.5
58
Some joint discomfort in the evening
2026-07-29
3
Yes
4.5
27
High stress at work, tension in shoulders
2026-07-29
2
No
8.5
0
Slight cough, otherwise fine
2026-07-29
4
Yes
9.5
29
Felt a bit anxious before bed
2026-07-30
3
Yes
8
27
Woke up once during the night
2026-07-30
3
Yes
8
0
Took medication as prescribed
2026-07-30
2
Yes
9.5
0
null
2026-07-31
3
Yes
4.5
37
Slight fatigue after work
2026-07-31
4
No
8
54
Felt rested, ready for training

EU Health UX – Monthly Health Logs

This repository contains a small-scale, privacy-safe dataset of daily health logs collected for user-experience (UX) optimization of a personal health management application.

Overview

  • Records: 80
  • Coverage: Most recent month (July 2026)
  • Update frequency: Monthly
  • Format: CSV (UTF-8) – health_logs.csv

Data Source

The data was contributed by personal health management pilot users located in Germany and France. It reflects routine self-reported health tracking through the application (symptom logging, medication reminders, sleep and activity tracking).

Purpose

The dataset is used exclusively to optimize the user experience (UX) of the healthcare application – for example, analysing how users complete daily check-ins, how symptom scores relate to self-reported adherence, and how the logging interface can be improved.

Privacy & GDPR

In full compliance with the GDPR, all directly identifying information has been removed before publication:

  • No real names
  • No addresses
  • No NHS numbers or other national health identifiers
  • No other personally identifiable information (PII)

The dataset does not contain any information that can be used to identify an individual.

Schema

Column Description Type
date Date of the log entry (YYYY-MM-DD) string
symptom_score Self-reported symptom severity from 1 (minimal) to 5 (severe) int
medication_adherence Whether medication was taken as prescribed (Yes / No) string
sleep_hours Total sleep duration in hours float
exercise_minutes Duration of physical activity in minutes int
notes Free-text note left by the user (may be empty) string

Usage

from datasets import load_dataset

ds = load_dataset("toolathon123/project_20260813_014202_00b44b72")
print(ds["train"].num_rows)  # 80

License

This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC-4.0) license.

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