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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: int64
code: string
name: string
type: string
parent_code: null
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 620
to
{'juris_code': Value('string'), 'juris_name': Value('string'), 'source_url': Value('string'), 'source_name': Value('string'), 'source_type': Value('string'), 'tier': Value('int64'), 'link_url': Value('string'), 'title': Value('string'), 'body': Value('string'), 'body_hash': Value('string'), 'content_type': Value('string'), 'byte_size': Value('int64'), 'status': Value('int64'), 'fetched_at': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              code: string
              name: string
              type: string
              parent_code: null
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 620
              to
              {'juris_code': Value('string'), 'juris_name': Value('string'), 'source_url': Value('string'), 'source_name': Value('string'), 'source_type': Value('string'), 'tier': Value('int64'), 'link_url': Value('string'), 'title': Value('string'), 'body': Value('string'), 'body_hash': Value('string'), 'content_type': Value('string'), 'byte_size': Value('int64'), 'status': Value('int64'), 'fetched_at': Value('string')}
              because column names don't match

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The Law - Global Legal Database

Comprehensive database of laws from 219 jurisdictions worldwide.

Coverage

101,340 laws across 219 jurisdictions including:

  • Federal/national laws
  • State/provincial laws
  • Local ordinances
  • Administrative regulations

Contents

  • US Laws: Federal code, state statutes, administrative law
  • International: EU regulations, UK legislation, Canadian law
  • Maritime Law: Admiralty and Law of the Sea
  • Trade: International trade agreements and regulations

Format

Structured legal data with:

  • Jurisdiction
  • Citation
  • Effective date
  • Full text
  • Amendments/updates

Usage

Legal research, compliance checking, comparative law analysis, AI legal training.

Data Sources

  • US Congress (congress.gov, ecfr.gov)
  • EUR-Lex (EU legal database)
  • legislation.gov.uk (UK)
  • Public legal gazettes worldwide

All laws are public domain (published by governments for citizens).

License

CC0-1.0 (Public Domain) - Published laws are not copyrightable

Copyright (c) 2026 Tammy L Casey. All rights reserved.

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