Dataset Viewer
Duplicate
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
urn: string
title: string
type: string
date: timestamp[s]
text: string
articles: list<item: struct<num: string, eId: string, text: string>>
  child 0, item: struct<num: string, eId: string, text: string>
      child 0, num: string
      child 1, eId: string
      child 2, text: string
article_count: int64
parsed_at: string
citations: list<item: struct<target_urn: string, ref: string>>
  child 0, item: struct<target_urn: string, ref: string>
      child 0, target_urn: string
      child 1, ref: string
text_length: int64
year: string
generated: string
edges: list<item: null>
  child 0, item: null
stats: struct<nodes: int64, edges: int64, min_citations: int64>
  child 0, nodes: int64
  child 1, edges: int64
  child 2, min_citations: int64
nodes: list<item: null>
  child 0, item: null
to
{'generated': Value('string'), 'nodes': List(Value('null')), 'edges': List(Value('null')), 'stats': {'nodes': Value('int64'), 'edges': Value('int64'), 'min_citations': Value('int64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              urn: string
              title: string
              type: string
              date: timestamp[s]
              text: string
              articles: list<item: struct<num: string, eId: string, text: string>>
                child 0, item: struct<num: string, eId: string, text: string>
                    child 0, num: string
                    child 1, eId: string
                    child 2, text: string
              article_count: int64
              parsed_at: string
              citations: list<item: struct<target_urn: string, ref: string>>
                child 0, item: struct<target_urn: string, ref: string>
                    child 0, target_urn: string
                    child 1, ref: string
              text_length: int64
              year: string
              generated: string
              edges: list<item: null>
                child 0, item: null
              stats: struct<nodes: int64, edges: int64, min_citations: int64>
                child 0, nodes: int64
                child 1, edges: int64
                child 2, min_citations: int64
              nodes: list<item: null>
                child 0, item: null
              to
              {'generated': Value('string'), 'nodes': List(Value('null')), 'edges': List(Value('null')), 'stats': {'nodes': Value('int64'), 'edges': Value('int64'), 'min_citations': Value('int64')}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

OpenNormattiva Dataset

160,000+ Italian laws from Normattiva with full-text, structured citations (URN), amendment tracking, and domain classification.

Files

  • data/processed/laws_vigente.jsonl — All laws as JSONL (one per line)
  • data/laws.db — Pre-built SQLite database with FTS5, PageRank, domains

Schema (per law)

{
  "urn": "urn:nir:stato:legge:2006;290",
  "title": "...",
  "type": "legge",
  "date": "2006-12-27",
  "year": "2006",
  "text": "...",
  "citations": [
    {"target_urn": "urn:nir:stato:decreto.legislativo:2016;50", "ref": "d.lgs. 50/2016"}
  ]
}
Downloads last month
201

Spaces using diatribe00/normattiva-data 2