Update README.md

README.md

@@ -22,4 +22,75 @@ configs:
   data_files:
   - split: original
     path: data/original-*
+license: mit
 ---
+
+# Dataset Card for Dataset Name
+
+<!-- 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 or generated.
+
+#### 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.