Update README.md

README.md

@@ -11,7 +11,6 @@ pretty_name: HW1 Tabular Dataset (Airlines)
 This dataset covers 30 flights leaving Pittsburgh International Airport between 9/7 and 9/27. It includes information on
 the airline, weekday, flight time, layovers, days from departure, and price
 
-{{ dataset_summary | default("", true) }}
 
 ## Dataset Details
 
@@ -21,41 +20,38 @@ the airline, weekday, flight time, layovers, days from departure, and price
 
 {{ dataset_description | default("", true) }}
 
-- **Curated by:** {{ curators | default("[More Information Needed]", true)}}
-- **Funded by [optional]:** {{ funded_by | default("[More Information Needed]", true)}}
-- **Shared by [optional]:** {{ shared_by | default("[More Information Needed]", true)}}
-- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}}
-- **License:** {{ license | default("[More Information Needed]", true)}}
+- **Curated by:** Carnegie Mellon University: 24-679
+- **Shared by [optional]:** Devin DeCosmo
+- **Language(s) (NLP):** English
+- **License:** MIT
 
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
 
 - **Repository:** {{ repo | default("[More Information Needed]", true)}}
-- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
-- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}
+
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
+The main use was to train tabular machine learning models to predict the price of tickets based on the outlined features. 
 
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
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-{{ direct_use | default("[More Information Needed]", true)}}
+The direct use would be price prediction for airline flights. 
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-{{ out_of_scope_use | default("[More Information Needed]", true)}}
+This could be used to predict other features or future prices, locations, or airlines in Pittsburgh.
 
 ## 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. -->
+This dataset is in a tabular format with features
+Airline, Destination, Day of the Week, Days from Departure, Flight_Time_Minutes, and Price
 
-{{ dataset_structure | default("[More Information Needed]", true)}}
+The two splits are original and augmented
+The original has 30 rows.
+The augmented has 300rows. 
 
 ## Dataset Creation
 
@@ -67,80 +63,20 @@ the airline, weekday, flight time, layovers, days from departure, and price
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+Source data is from Google Flights
 
 #### 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. -->
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-{{ data_collection_and_processing_section | default("[More Information Needed]", true)}}
+Data for this was collected directly through Google Flights then tabulated by Google Gemini
 
 #### 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. -->
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-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-{{ annotation_process_section | default("[More Information Needed]", true)}}
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
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-{{ who_are_annotators_section | default("[More Information Needed]", true)}}
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-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-{{ personal_and_sensitive_information | default("[More Information Needed]", true)}}
+Data was initially produced by Google Flights. 
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-{{ bias_risks_limitations | default("[More Information Needed]", true)}}
+This is a very small data set and will likely have issues with training and fitting, especially for specific regression problems surrounding price.
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-{{ bias_recommendations | default("Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.", true)}}
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
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-{{ citation_bibtex | default("[More Information Needed]", true)}}
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-**APA:**
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-{{ citation_apa | default("[More Information Needed]", true)}}
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-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-{{ glossary | default("[More Information Needed]", true)}}
-
-## More Information [optional]
-
-{{ more_information | default("[More Information Needed]", true)}}
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-## Dataset Card Authors [optional]
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-## Dataset Card Contact
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+This dataset probably has limited accuracy as a first draft but may be useful for learning how to train tabular models.