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task
stringlengths
0
64
when it's due (days)
float64
-1
90
how long it takes (hours)
float64
0.03
25
importance (1-10)
int64
1
10
notes
stringclasses
29 values
finish modern control theory homework
3
8
10
may need to ask some help, can't wait too long
take a shower + skincare
0
0.6
6
watch an episode of "better call saul"
-1
1
2
put clothes away
-1
0.25
5
eat something
0
1
10
fill brita
0
0.08
6
finish project 1
10
12
10
pack for fall break trip
18
3
10
do space robotics accomplisment slides
4
0.16
10
add songs to spotify playlists
-1
10
3
buy milk
7
0.3
4
watch an episode of "long story short"
-1
0.42
2
apply to 50 jobs
-1
9
8
do laundry
4
0.3
7
compile ex's clothes
-1
0.5
4
buy mom's birthday gift
20
2
10
decide on my birthday weekend plan
41
1
5
clip fingernails
5
0.25
7
paint nails
-1
1
1
do machine learning and ai homework
4
7
10
pay credit card
22
0.05
10
wipe down dresser
-1
0.16
3
collect data for project 1
2
3
10
play tennis
-1
1.5
3
wash water bottle
3
0.25
7
buy snacks
7
0.3
5
wash that one shirt
10
0.3
2
needs to be washed cold and air dried
vacuum my floor
4
0.25
6
schedule appointment with therapist
3
0.08
6
organize desktop screenshots
-1
1
5
delete photos on phone
-1
2
4
get a haircut
70
1.5
6
read one chapter of "1984"
-1
0.3
3
do basquiat puzzle
-1
3
3
practice piano
-1
2
3
buy jewelry
-1
0.5
1
take out trash
5
0.2
7
go to asa gbm
2
1
2
delete spotify playlists
-1
4
2
do special topics homework
5
10
10
buy groceries
7
1.2
7
talk to jaden and eloise about booth
20
0.6
6
sketch something
-1
0.5
2
give booth money to jaden and eloise
30
0.2
7
respond to texts
4
0.5
6
wash dishes
1
0.3
7
unsubscribe from emails
-1
0.5
2
reply to emails
2
0.5
7
email heather about lander dimensions
0
0.2
10
dust furniture
6
0.25
6
put shoes away
8
0.1
2
wash pillowcase
3
0.3
7
pre-check in for ct scan
2
0.1
7
rsvp to party
3
0.1
1
text mason to schedule lunch
0
0.1
3
fix lander drawing dimensions
2
2
10
buy shampoo
10
0.1
7
buy skincare
10
0.1
7
draft budget
4
1
7
finish collecting data
0
3
10
do some watercolor
-1
1
2
buy trash bags
3
0.5
7
respond to dad's text
2
0.1
4
study for midterm
4
10
10
wash bath mat
3
0.3
7
refill vitamin case
2
0.1
6
run ansys simulation for space robotics
2
3
10
finish writing lab report
6
5
10
organize pantry
-1
0.5
1
throw out expired food
2
0.2
7
clean microwave
3
0.2
3
replace vacuum filter
4
0.1
4
replace brita filter
2
0.1
7
change bedsheets
3
0.27
7
proofread resume
4
0.3
5
buy toilet paper
1
0.5
10
buy new posters
-1
1
1
redo poster wall layout
-1
1.2
1
meal prep for the week
2
1.5
6
clean stove
4
0.25
3
refill car gas tank
1
0.5
10
go to the gym
7
1.5
3
play basketball
-1
1.5
3
wipe down kitchen counters
3
0.2
3
clean bathroom mirror
7
0.2
2
clean the shower
2
0.3
6
organize bookshelf
-1
0.5
1
water the plants
3
0.1
7
brainstorm research ideas
2
0.6
10
empty dishwasher
1
0.2
6
wash fruit
0
0.1
7
cut fruit
0
0.2
6
edit bibliography
3
0.3
10
fold origami
-1
0.4
1
light incense
-1
0.05
1
light candle
-1
0.05
1
go swimming
-1
1.5
3
play waterpolo
-1
1.5
3
play pickleball
-1
1.5
3
play soccer
-1
1.5
3
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Dataset Card for Project1

This dataset contains task descriptions, importance, duration, and due date.

Dataset Details

Dataset Description

This dataset contains task descriptions, importance, duration, and due date. It has 500 rows and was created manually in a Google Sheet. It is primarily used to train a multi-task regression model for predicting task characteristics as part of an automated task prioritization system.

  • Curated by: Sam Der and Smriti Chopra
  • License: MIT

Uses

Direct Use

The direct use of this dataset is to train a model for predicting task importance, duration, and expected due date based on text descriptions, as part of an automated task prioritization app.

Dataset Structure

Each instance in the dataset represents a single task with the following attributes:

  • task: Text description of the task.
  • when it's due (days): Deadline in days.
  • how long it takes (hours): Estimated duration in hours.
  • importance (1-10): Importance of the task on a scale of 1 to 10.
  • notes: Additional notes about the task.

Dataset Creation

Curation Rationale

The dataset was created to provide labeled examples of tasks with associated characteristics (importance, duration, due date) to train a model to predict these characteristics from a task's text description. This is intended to support an automated task prioritization app.

Source Data

The data was collected from a Google Sheet where tasks and their attributes were manually entered.

Data Collection and Processing

The importance, duration, and horizon of the tasks were estimated from previous experience or given to the data creators.

Who are the source data producers?

Created by Sam Der and Smriti Chopra

Bias, Risks, and Limitations

This dataset was created manually, so there may be biases in deciding task importance or expected duration due to personal preferences and experiences.

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