| --- |
| 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 |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| This dataset contains task descriptions, importance, duration, and due date. |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
| 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 |
|
|
| <!-- Address questions around how the dataset is intended to be used. --> |
|
|
| ### Direct Use |
|
|
| <!-- This section describes suitable use cases for the dataset. --> |
|
|
| 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 |
|
|
| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
| 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 |
|
|
| <!-- Motivation for the creation of this dataset. --> |
|
|
| 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 |
|
|
| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
|
|
| The data was collected from a Google Sheet where tasks and their attributes were manually entered. |
|
|
| #### Data Collection and Processing |
|
|
| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
|
|
| 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? |
|
|
| <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
|
|
| Created by Sam Der and Smriti Chopra |
|
|
| ## Bias, Risks, and Limitations |
|
|
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
| This dataset was created manually, so there may be biases in deciding task importance or expected duration due to personal preferences and experiences. |
