dataset_info:
features:
- name: task
dtype: string
- name: when it's due (days)
dtype: float64
- name: how long it takes (hours)
dtype: float64
- name: importance (1-10)
dtype: int64
- name: notes
dtype: string
splits:
- name: original
num_bytes: 29709
num_examples: 500
download_size: 15248
dataset_size: 29709
configs:
- config_name: default
data_files:
- split: original
path: data/original-*
license: mit
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.