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--- |
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dataset_info: |
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features: |
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- name: task |
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dtype: string |
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- name: when it's due (days) |
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dtype: float64 |
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- name: how long it takes (hours) |
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dtype: float64 |
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- name: importance (1-10) |
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dtype: int64 |
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- name: notes |
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dtype: string |
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splits: |
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- name: original |
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num_bytes: 29709 |
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num_examples: 500 |
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download_size: 15248 |
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dataset_size: 29709 |
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configs: |
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- config_name: default |
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data_files: |
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- split: original |
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path: data/original-* |
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license: mit |
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--- |
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# Dataset Card for Project1 |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset contains task descriptions, importance, duration, and due date. |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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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. |
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- **Curated by:** Sam Der and Smriti Chopra |
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- **License:** MIT |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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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. |
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## Dataset Structure |
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<!-- 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. --> |
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Each instance in the dataset represents a single task with the following attributes: |
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* `task`: Text description of the task. |
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* `when it's due (days)`: Deadline in days. |
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* `how long it takes (hours)`: Estimated duration in hours. |
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* `importance (1-10)`: Importance of the task on a scale of 1 to 10. |
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* `notes`: Additional notes about the task. |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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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. |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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The data was collected from a Google Sheet where tasks and their attributes were manually entered. |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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The importance, duration, and horizon of the tasks were estimated from previous experience or given to the data creators. |
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#### Who are the source data producers? |
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<!-- 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. --> |
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Created by Sam Der and Smriti Chopra |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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This dataset was created manually, so there may be biases in deciding task importance or expected duration due to personal preferences and experiences. |
