---
license: apache-2.0
task_categories:
- summarization
- text2text-generation
- text-generation
language:
- en
tags:
- Summarization
- Bills
- Congress
- Government
size_categories:
- 10K<n<100K
pretty_name: >-
  All Congressional legislation and summaries from the 113th and 118th
  congresses
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->
Cleaned JSON file with all Congressional legislation for the 113th - 118th Congresses containing 73,890 rows.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
The dataset was pulled from the US Governments Bulk Data Repository. (https://www.govinfo.gov/bulkdata/) The data consists of all congressional legislation and their summaries from the 113th Congress through the 118th Congress. The raw files were in the .xml format. The data was cleaned using custom data cleaning algorithms using Python. Once the data was cleaned it was organized within a Python dictionary data structure and exported to JSON. The JSON file contains 73,890 rows with title, bill text, and bill summary.


- **Curated by:** Taylor Hartman
- **Funded by [optional]:** Self Funded
- **Shared by [optional]:** Middle Tennessee State University
- **Language(s) (NLP):** English
- **License:** Apache-2.0

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://www.govinfo.gov/bulkdata/
- **Paper [optional]:** None
- **Demo [optional]:** None

## Uses

<!-- Address questions around how the dataset is intended to be used. -->
NLP Summarization

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->
Fine-tuning the model at https://huggingface.co/cheaptrix/MTSUSpring2025SoftwareEngineering used in the website https://www.whatsinthebill.ai

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
Meant to be used for NLP summarization tasks

## 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. -->
JSON with "title", "text", "summary" data members

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->
The data is from https://www.govinfo.gov/bulkdata where the Federal government provided the title, bill text, and bill summaries.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
Congressional bill, resolutions, concurent resolutions and join resolutions.

#### 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. -->
Cleaned using Python xml.etree.elementtree and re (regular expressions).

#### 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. -->
The source data is from the Federal government (House of Representatives and Senate)

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
None.

#### 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. -->
None.

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### 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. -->
None.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
No bias from the cleaners. All rows were used that were usable. Rows with missing or corrupt data were removed.

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## 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:**

@misc {taylor_hartman_2025,
	author       = { {Taylor Hartman} },
	title        = { billsum-US_congress_and_house (Revision afac619) },
	year         = 2025,
	url          = { https://huggingface.co/datasets/cheaptrix/billsum-US_congress_and_house },
	doi          = { 10.57967/hf/4926 },
	publisher    = { Hugging Face }
}

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
None.

## More Information [optional]
None

## Dataset Card Authors [optional]
Taylor Hartman

## Dataset Card Contact
Taylor Hartmam