metadata

dataset_info: null
configs:
  - config_name: all
    data_files:
      - split: train
        path: all_us_federal_laws.jsonl
  - config_name: congress
    data_files:
      - split: train
        path: congress_public_laws.json
  - config_name: house_of_reps
    data_files:
      - split: train
        path: us_public_law_118_70.jsonl
  - config_name: executive_orders
    data_files:
      - split: train
        path: exec_orders_hf.json
license: apache-2.0

US Federal Laws

This dataset consists of US Federal laws that are voted in by either Congress or the House of Representatives. The laws are structured differently for each subset, so the 'all' subset has null values for many elements. Still working on a way to restructure these in a way that makes sense.

Taxonomy

The congress split contains the laws voted from the 88th congress through the 118th Congress.
The house_of_reps split contains all of the current versions of US Code as documented in Public Law 118-70

Loading Script

import datasets

congress = datasets.load_dataset('macadeliccc/US-FederalLaws', 'congress', split='train')
house_of_reps_dataset = datasets.load_dataset('macadeliccc/US-FederalLaws', 'house_of_reps', split='train')

iterable_congress = congress.to_iterable_dataset()
iterable_house_of_reps = house_of_reps_dataset.to_iterable_dataset()

print(next(iter(iterable_congress)))
print(next(iter(iterable_house_of_reps)))