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SHARProduction
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timeline-conformance-adapter-fixtures

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Tags:
audiovisual-production
timeline
conformance
Synthetic
test-fixtures
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schemaVersion: string
unit: string
items: list<item: struct<id: string, start: double, duration: double, dependencies: list<item: string>, lab (... 29 chars omitted)
  child 0, item: struct<id: string, start: double, duration: double, dependencies: list<item: string>, label: string, (... 17 chars omitted)
      child 0, id: string
      child 1, start: double
      child 2, duration: double
      child 3, dependencies: list<item: string>
          child 0, item: string
      child 4, label: string
      child 5, milestone: bool
entries: list<item: struct<id: string, sequence: int64, startMs: int64, endMs: int64, dependencies: list<item (... 43 chars omitted)
  child 0, item: struct<id: string, sequence: int64, startMs: int64, endMs: int64, dependencies: list<item: string>,  (... 31 chars omitted)
      child 0, id: string
      child 1, sequence: int64
      child 2, startMs: int64
      child 3, endMs: int64
      child 4, dependencies: list<item: string>
          child 0, item: string
      child 5, milestone: bool
      child 6, label: string
timebase: struct<unit: string>
  child 0, unit: string
profile: string
to
{'schemaVersion': Value('string'), 'profile': Value('string'), 'timebase': {'unit': Value('string')}, 'entries': List({'id': Value('string'), 'sequence': Value('int64'), 'startMs': Value('int64'), 'endMs': Value('int64'), 'dependencies': List(Value('string')), 'milestone': Value('bool'), 'label': 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
              schemaVersion: string
              unit: string
              items: list<item: struct<id: string, start: double, duration: double, dependencies: list<item: string>, lab (... 29 chars omitted)
                child 0, item: struct<id: string, start: double, duration: double, dependencies: list<item: string>, label: string, (... 17 chars omitted)
                    child 0, id: string
                    child 1, start: double
                    child 2, duration: double
                    child 3, dependencies: list<item: string>
                        child 0, item: string
                    child 4, label: string
                    child 5, milestone: bool
              entries: list<item: struct<id: string, sequence: int64, startMs: int64, endMs: int64, dependencies: list<item (... 43 chars omitted)
                child 0, item: struct<id: string, sequence: int64, startMs: int64, endMs: int64, dependencies: list<item: string>,  (... 31 chars omitted)
                    child 0, id: string
                    child 1, sequence: int64
                    child 2, startMs: int64
                    child 3, endMs: int64
                    child 4, dependencies: list<item: string>
                        child 0, item: string
                    child 5, milestone: bool
                    child 6, label: string
              timebase: struct<unit: string>
                child 0, unit: string
              profile: string
              to
              {'schemaVersion': Value('string'), 'profile': Value('string'), 'timebase': {'unit': Value('string')}, 'entries': List({'id': Value('string'), 'sequence': Value('int64'), 'startMs': Value('int64'), 'endMs': Value('int64'), 'dependencies': List(Value('string')), 'milestone': Value('bool'), 'label': Value('string')})}
              because column names don't match

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SHAR Production Timeline Conformance Adapter Fixtures

Three explicitly synthetic fixtures for deterministic production timeline and conformance testing.

Publisher: SHAR Production — https://sharprod.com/

  • valid-timeline.json: declared seconds-based timeline.
  • valid-conformance.json: normalized milliseconds-based conformance document.
  • invalid-timeline.json: intentional invalid duration, dependency and cycle cases.

Data: CC BY 4.0. Attribution: SHAR Production, Timeline Conformance Adapter Fixtures — https://sharprod.com/.

These records contain no client data. They are reference fixtures, not a production benchmark or external-standard certification.

Use with the MIT-licensed validator and adapter: https://github.com/SHARProduction/timeline-conformance-adapter
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