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@@ -20,7 +20,6 @@ pretty_name: >-
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  # Dataset Card for Dataset Name
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  <!-- Provide a quick summary of the dataset. -->
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-
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  Cleaned JSON file with all Congressional legislation for the 113th - 118th Congresses containing 73,890 rows.
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  ## Dataset Details
@@ -40,11 +39,10 @@ The dataset was pulled from the US Governments Bulk Data Repository. (https://ww
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  ### Dataset Sources [optional]
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  <!-- Provide the basic links for the dataset. -->
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- https://www.govinfo.gov/bulkdata/
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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@@ -56,21 +54,16 @@ NLP Summarization
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  <!-- This section describes suitable use cases for the dataset. -->
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  Fine-tuning the model at https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering used in the website https://www.whatsinthebill.ai
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- [More Information Needed]
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-
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  ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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-
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- [More Information Needed]
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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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  JSON with "title", "text", "summary" data members
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- [More Information Needed]
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-
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  ## Dataset Creation
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  ### Curation Rationale
@@ -78,8 +71,6 @@ JSON with "title", "text", "summary" data members
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  <!-- Motivation for the creation of this dataset. -->
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  The data is from https://www.govinfo.gov/bulkdata where the Federal government provided the title, bill text, and bill summaries.
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- [More Information Needed]
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-
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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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  <!-- 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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  Cleaned using Python xml.etree.elementtree and re (regular expressions).
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- [More Information Needed]
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-
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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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  The source data is from the Federal government (House of Representatives and Senate)
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- [More Information Needed]
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  ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
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  #### Annotation process
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  <!-- 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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-
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- [More Information Needed]
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  #### Who are the annotators?
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  #### Personal and Sensitive Information
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  <!-- 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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-
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- [More Information Needed]
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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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  No bias from the cleaners. All rows were used that were usable. Rows with missing or corrupt data were removed.
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- [More Information Needed]
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-
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  ### Recommendations
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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  ## Citation [optional]
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  **BibTeX:**
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- [More Information Needed]
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-
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- **APA:**
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-
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- [More Information Needed]
 
 
 
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  ## Glossary [optional]
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  <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-
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- [More Information Needed]
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  ## More Information [optional]
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-
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- [More Information Needed]
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  ## Dataset Card Authors [optional]
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-
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- [More Information Needed]
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  ## Dataset Card Contact
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-
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- [More Information Needed]
 
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  # Dataset Card for Dataset Name
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  <!-- Provide a quick summary of the dataset. -->
 
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  Cleaned JSON file with all Congressional legislation for the 113th - 118th Congresses containing 73,890 rows.
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  ## Dataset Details
 
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  ### Dataset Sources [optional]
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  <!-- Provide the basic links for the dataset. -->
 
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+ - **Repository:** https://www.govinfo.gov/bulkdata/
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+ - **Paper [optional]:** None
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+ - **Demo [optional]:** None
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  ## Uses
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  <!-- This section describes suitable use cases for the dataset. -->
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  Fine-tuning the model at https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering used in the website https://www.whatsinthebill.ai
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  ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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+ Meant to be used for NLP summarization tasks
 
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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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  JSON with "title", "text", "summary" data members
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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 data is from https://www.govinfo.gov/bulkdata where the Federal government provided the title, bill text, and bill summaries.
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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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  <!-- 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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  Cleaned using Python xml.etree.elementtree and re (regular expressions).
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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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  The source data is from the Federal government (House of Representatives and Senate)
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  ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+ None.
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  #### Annotation process
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  <!-- 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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+ None.
 
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  #### Who are the annotators?
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  #### Personal and Sensitive Information
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  <!-- 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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+ None.
 
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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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  No bias from the cleaners. All rows were used that were usable. Rows with missing or corrupt data were removed.
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  ### Recommendations
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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  ## Citation [optional]
 
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  **BibTeX:**
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+ @misc {taylor_hartman_2025,
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+ author = { {Taylor Hartman} },
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+ title = { billsum-US_congress_and_house (Revision afac619) },
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+ year = 2025,
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+ url = { https://huggingface.co/datasets/cheaptrix/billsum-US_congress_and_house },
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+ doi = { 10.57967/hf/4926 },
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+ publisher = { Hugging Face }
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+ }
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  ## Glossary [optional]
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  <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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+ None.
 
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  ## More Information [optional]
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+ None
 
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  ## Dataset Card Authors [optional]
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+ Taylor Hartman
 
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  ## Dataset Card Contact
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+ Taylor Hartmam