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README.md

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+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- legal
+pretty_name: US 117th Congress Bills
+size_categories:
+- 10K<n<100K
+---
+
+# Dataset Card for Dataset US 117th Congress Bills
+
+## Dataset Description
+
+- **Homepage:** https://hunterheidenreich.com/posts/us-117th-congress-data-exploration/
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** Hunter Heidenreich
+
+### Dataset Summary
+
+The US 117th Congress Bills dataset is a collection of all of the House Resolutions, House Joint Resolutions, 
+Senate Resolutions, and Senate Joint Resolutions introduced during the 117th Congress (2021-2022). 
+The task is to classify each bill into one of thirty-three major policy areas.
+There are 11,389 bills in the training split and 3,797 bills in the testing split.
+
+### Supported Tasks and Leaderboards
+
+- `text-classification`: The goal is to classify each bill into one of thirty-three major policy areas. The dataset contains both a text label (`policy_areas`) and a class integer (`y`).
+
+These classes correspond to:
+  - 0: Agriculture and Food
+  - 1: Animals
+  - 2: Armed Forces and National Security
+  - 3: Arts, Culture, Religion
+  - 4: Civil Rights and Liberties, Minority Issues
+  - 5: Commerce
+  - 6: Congress
+  - 7: Crime and Law Enforcement
+  - 8: Economics and Public Finance
+  - 9: Education
+  - 10: Emergency Management
+  - 11: Energy
+  - 12: Environmental Protection
+  - 13: Families
+  - 14: Finance and Financial Sector
+  - 15: Foreign Trade and International Finance
+  - 16: Government Operations and Politics
+  - 17: Health
+  - 18: Housing and Community Development
+  - 19: Immigration
+  - 20: International Affairs
+  - 21: Labor and Employment
+  - 22: Law
+  - 23: Native Americans
+  - 24: Private Legislation
+  - 25: Public Lands and Natural Resources
+  - 26: Science, Technology, Communications
+  - 27: Social Sciences and History
+  - 28: Social Welfare
+  - 29: Sports and Recreation
+  - 30: Taxation
+  - 31: Transportation and Public Works
+  - 32: Water Resources Development
+
+There is no leaderboard currently.
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```
+index                                                          11047
+id                                                          H.R.4536
+policy_areas                                          Social Welfare
+cur_summary        Welfare for Needs not Weed Act\nThis bill proh...
+cur_text           To prohibit assistance provided under the prog...
+title                                 Welfare for Needs not Weed Act
+titles_official    To prohibit assistance provided under the prog...
+titles_short                          Welfare for Needs not Weed Act
+sponsor_name                                          Rep. Rice, Tom
+sponsor_party                                                      R
+sponsor_state                                                     SC
+Name: 0, dtype: object
+```
+
+### Data Fields
+
+- `index`: A numeric index
+- `id`: The unique bill ID as a string
+- `policy_areas`: The key policy area as a string. This is the classification label.
+- `cur_summary`: The latest summary of the bill as a string.
+- `cur_text`: The latest text of the bill as a string.
+- `title`: The core title of the bill, as labeled on [Congress.gov](congress.gov), as a string.
+- `titles_official`: All official titles of the bill (or nested legislation) as a string.
+- `titles_short`: All short titles of the bill (or nested legislation) as a string.
+- `sponsor_name`: The name of the primary representative sponsoring the legislation as a string.
+- `sponsor_party`: The party of the primary sponsor as a string.
+- `sponsor_state`: The home state of the primary sponsor as a string. 
+
+### Data Splits
+
+The dataset was split into a training and testing split using a stratefied sampling, due to the class imbalance in the dataset. 
+
+Using scikit-learn, a quarter of the data (by class) is reserved for testing: 
+```
+train_ix, test_ix = train_test_split(ixs, test_size=0.25, stratify=df['y'], random_state=1234567)
+```
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created to provide a new dataset at the intersection of NLP and legislation. 
+Using this data for a simple major topic classification seemed like a practical first step.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+Data was collected from [congress.gov](congress.gov) with minimal pre-processing. 
+Additional information about this datasets collection is discussed [here](https://hunterheidenreich.com/posts/us-117th-congress-data-exploration/#data---how-it-was-obtained).
+
+#### Who are the source language producers?
+
+Either [Congressional Research Service](https://www.congress.gov/help/legislative-glossary#glossary_crs) or other congressional staffers.
+
+### Annotations
+
+#### Who are the annotators?
+
+Congressional Staff
+
+### Personal and Sensitive Information
+
+None, this is publicly available text through [congress.gov](congress.gov).
+
+## Additional Information
+
+### Licensing Information
+
+MIT License