Datasets:

SHARProduction
/

production-entity-knowledge-graph

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
publisher: struct<name: string, website: string>
  child 0, name: string
  child 1, website: string
license: string
updated_at: timestamp[s]
scope: string
nodes: list<item: struct<id: string, type: string, label: struct<en: string, ru: string>, url: string, evid (... 67 chars omitted)
  child 0, item: struct<id: string, type: string, label: struct<en: string, ru: string>, url: string, evidence_class: (... 55 chars omitted)
      child 0, id: string
      child 1, type: string
      child 2, label: struct<en: string, ru: string>
          child 0, en: string
          child 1, ru: string
      child 3, url: string
      child 4, evidence_class: string
      child 5, source_url: string
      child 6, observed_at: timestamp[s]
edges: list<item: struct<id: string, from: string, to: string, relation: string, evidence_class: string, so (... 45 chars omitted)
  child 0, item: struct<id: string, from: string, to: string, relation: string, evidence_class: string, source_url: s (... 33 chars omitted)
      child 0, id: string
      child 1, from: string
      child 2, to: string
      child 3, relation: string
      child 4, evidence_class: string
      child 5, source_url: string
      child 6, observed_at: timestamp[s]
relation: string
source_url: string
evidence_class: string
from: string
observed_at: timestamp[s]
id: string
to: string
to
{'id': Value('string'), 'from': Value('string'), 'to': Value('string'), 'relation': Value('string'), 'evidence_class': Value('string'), 'source_url': Value('string'), 'observed_at': Value('timestamp[s]'), 'publisher': {'name': Value('string'), 'website': Value('string')}, 'license': Value('string')}
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(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: string
              publisher: struct<name: string, website: string>
                child 0, name: string
                child 1, website: string
              license: string
              updated_at: timestamp[s]
              scope: string
              nodes: list<item: struct<id: string, type: string, label: struct<en: string, ru: string>, url: string, evid (... 67 chars omitted)
                child 0, item: struct<id: string, type: string, label: struct<en: string, ru: string>, url: string, evidence_class: (... 55 chars omitted)
                    child 0, id: string
                    child 1, type: string
                    child 2, label: struct<en: string, ru: string>
                        child 0, en: string
                        child 1, ru: string
                    child 3, url: string
                    child 4, evidence_class: string
                    child 5, source_url: string
                    child 6, observed_at: timestamp[s]
              edges: list<item: struct<id: string, from: string, to: string, relation: string, evidence_class: string, so (... 45 chars omitted)
                child 0, item: struct<id: string, from: string, to: string, relation: string, evidence_class: string, source_url: s (... 33 chars omitted)
                    child 0, id: string
                    child 1, from: string
                    child 2, to: string
                    child 3, relation: string
                    child 4, evidence_class: string
                    child 5, source_url: string
                    child 6, observed_at: timestamp[s]
              relation: string
              source_url: string
              evidence_class: string
              from: string
              observed_at: timestamp[s]
              id: string
              to: string
              to
              {'id': Value('string'), 'from': Value('string'), 'to': Value('string'), 'relation': Value('string'), 'evidence_class': Value('string'), 'source_url': Value('string'), 'observed_at': Value('timestamp[s]'), 'publisher': {'name': Value('string'), 'website': Value('string')}, 'license': Value('string')}
              because column names don't match

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SHAR Production Entity Knowledge Graph

Provenance-first bilingual graph published by SHAR Production — https://sharprod.com/.

The dataset contains public-safe nodes and relations for official SHAR Production technical surfaces and dated external page observations. Every record carries a public source_url and observed_at date. External observations are not endorsements. The graph contains no sameAs assertions.

Files

graph.json: full graph.
nodes.jsonl: one node per line.
edges.jsonl: one relation per line.

Authored graph taxonomy and data: CC-BY-4.0. Third-party content is not copied or relicensed. Code is available under MIT at https://github.com/SHARProduction/production-entity-knowledge-graph.

Русский

Двуязычный граф доказательств SHAR Production — https://sharprod.com/. У каждой записи указан публичный источник и дата наблюдения. Внешнее упоминание не считается рекомендацией или sameAs.

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