documents
foia-reading-room-documents
Foia Reading Room Documents
Documents from federal FOIA reading rooms and Inspector General report libraries: audits, inspections, investigative summaries and records released under the Freedom of Information Act.
Every document here was published by a US federal agency and is a work of the
United States government. Nothing has been altered: files are byte-identical to
what the agency posted, and the checksum in metadata.parquet is of the
original bytes.
Why this… See the full description on the dataset page: https://huggingface.co/datasets/abigailhaddad/foia-reading-room-documents.scotus-case-documents
Supreme Court of the United States: Case Documents
The document files that the Supreme Court's website lists under Case Documents in its footer, one config per collection, each row a file with the file itself, byte for byte, and its text. Nothing here is edited by hand, and no text is corrected, normalized or generated. The pipeline and its tests are in github.com/incrediblecrab/scotus-research-service-products, and this card is rendered from the collections' manifests in the… See the full description on the dataset page: https://huggingface.co/datasets/incrediblecrab/scotus-case-documents.JFK-Assassination-Records-2025-Documents-ReleaseEmbrapa-ai-documents-markdownjurisdb-legal-documents
JurisDB - Brazilian Legal Documents Dataset
Dataset Description
This dataset contains a comprehensive collection of Brazilian legal documents, including legislation (federal and state laws) and jurisprudence (court rulings and summaries from TSE, STJ, STF, and TNU).
Dataset Structure
.
├── legislacao_grifada_e_anotada_atualiz_em_01_01_2026/
│ ├── leis_estaduais/
│ ├── leis_federais/
│ └── ...
└── sumulas_tse_stj_stf_e_tnu_atualiz_01_01_2026_2/
├──… See the full description on the dataset page: https://huggingface.co/datasets/SherlockRamos/jurisdb-legal-documents.form_understanding_in_noisy_scanned_documents_plus
Dataset Card for Form Understanding in Noisy Scanned Documents Plus
This is a FiftyOne dataset with 1026 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/form_understanding_in_noisy_scanned_documents_plus")
# Launch the App… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/form_understanding_in_noisy_scanned_documents_plus.