| | --- |
| | id: legal_documents |
| | license: cc-by-nc-sa-4.0 |
| | language: |
| | - en |
| | pretty_name: a |
| | --- |
| | ## Dataset Description |
| | This dataset contains a collection of law documents related to Terms of |
| | Service, general federal law, and California law. It includes documents |
| | sourced from pile-of-law and various other legal sources. |
| |
|
| |
|
| | Documents from pile-of-law: |
| |
|
| | - U.S. Code of Federal Regulations |
| |
|
| | - U.S. State Codes |
| |
|
| | - The United States Code |
| |
|
| | - Educational Casebooks released under open CC licenses |
| |
|
| | - Unannotated Terms of Service contracts |
| |
|
| | - Advisory opinions by the Federal Trade Commission |
| |
|
| |
|
| | Documents from other sources: |
| |
|
| | - California's Anti-SLAPP Statute |
| |
|
| | - California Confidentiality of Medical Information Act (CMIA) |
| |
|
| | - CALIFORNIA CONSUMER PRIVACY ACT OF 2018 |
| |
|
| | - THE CALIFORNIA PRIVACY RIGHTS ACT OF 2020 |
| |
|
| | - California's Electronic Communications Privacy Act (CalECPA) |
| |
|
| | - California's Unfair Competition Law |
| |
|
| | - Consumer Legal Remedies Act (CLRA) |
| |
|
| | - Judicial Branch Contracting Manual |
| |
|
| | - Online Privacy Protection Act (OPPA) - Minors |
| |
|
| | - THE ELECTRONIC COMMUNICATIONS PRIVACY ACT- PROMOTING SECURITY AND PROTECTING |
| | PRIVACY IN THE DIGITAL AGE |
| |
|
| | - Senate Bill no. 178: Privacy: electronic communications: search warrant |
| |
|
| | - 2022 California Code Financial Code - FIN DIVISION 1.4 - CALIFORNIA |
| | FINANCIAL INFORMATION PRIVACY ACT |
| |
|
| | - 2010 California Code Financial Code Division 1.2. California Financial |
| | Information Privacy Act |
| |
|
| | ## Data Fields |
| |
|
| | - text: the document text |
| |
|
| | ## Language |
| | English |
| |
|
| | # Importing the Dataset |
| |
|
| | To use this dataset, you need to download it into your Python environment, then import it using the Hugging Face `datasets` library: |
| |
|
| | ```python |
| | from datasets import Dataset |
| | |
| | # Replace "path/to/data.arrow" with the actual path to your downloaded dataset file |
| | ds = Dataset.from_file("path/to/data.arrow") |
| | ``` |
| |
|
