Dataset Viewer
Split (2)
validation
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
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
videos: list<item: string>
  child 0, item: string
composite_detail: struct<families: struct<temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0 (... 244 chars omitted)
  child 0, families: struct<temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean:  (... 207 chars omitted)
      child 0, temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
          child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
              child 0, 0.25: double
              child 1, 0.5: double
              child 2, 0.75: double
              child 3, 1.0: double
          child 1, mean: double
      child 1, input: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
          child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
              child 0, 0.25: double
              child 1, 0.5: double
              child 2, 0.75: double
              child 3, 1.0: double
          child 1, mean: double
      child 2, output: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
          child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
              child 0, 0.25: double
              child 1, 0.5: double
              child 2, 0.75: double
              child 3, 1.0: double
          child 1, mean: double
  child 1, composite: double
case_directory: string
rank: int64
selection_stage: string
sample_index: int64
scene_id: string
cell: string
video: string
horizon: int64
parse_valid: bool
prediction_parse_error: null
composite_interaction_mf1: double
eval_line: int64
split: string
to
{'cell': Value('string'), 'split': Value('string'), 'horizon': Value('int64'), 'sample_index': Value('int64'), 'eval_line': Value('int64'), 'scene_id': Value('string'), 'parse_valid': Value('bool'), 'prediction_parse_error': Value('null'), 'video': Value('string'), 'rank': Value('int64'), 'selection_stage': Value('string'), 'composite_interaction_mf1': Value('float64'), 'composite_detail': {'families': {'temporal': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}, 'input': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}, 'output': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}}, 'composite': Value('float64')}, 'case_directory': 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
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              videos: list<item: string>
                child 0, item: string
              composite_detail: struct<families: struct<temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0 (... 244 chars omitted)
                child 0, families: struct<temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean:  (... 207 chars omitted)
                    child 0, temporal: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
                        child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
                            child 0, 0.25: double
                            child 1, 0.5: double
                            child 2, 0.75: double
                            child 3, 1.0: double
                        child 1, mean: double
                    child 1, input: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
                        child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
                            child 0, 0.25: double
                            child 1, 0.5: double
                            child 2, 0.75: double
                            child 3, 1.0: double
                        child 1, mean: double
                    child 2, output: struct<values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>, mean: double>
                        child 0, values: struct<0.25: double, 0.5: double, 0.75: double, 1.0: double>
                            child 0, 0.25: double
                            child 1, 0.5: double
                            child 2, 0.75: double
                            child 3, 1.0: double
                        child 1, mean: double
                child 1, composite: double
              case_directory: string
              rank: int64
              selection_stage: string
              sample_index: int64
              scene_id: string
              cell: string
              video: string
              horizon: int64
              parse_valid: bool
              prediction_parse_error: null
              composite_interaction_mf1: double
              eval_line: int64
              split: string
              to
              {'cell': Value('string'), 'split': Value('string'), 'horizon': Value('int64'), 'sample_index': Value('int64'), 'eval_line': Value('int64'), 'scene_id': Value('string'), 'parse_valid': Value('bool'), 'prediction_parse_error': Value('null'), 'video': Value('string'), 'rank': Value('int64'), 'selection_stage': Value('string'), 'composite_interaction_mf1': Value('float64'), 'composite_detail': {'families': {'temporal': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}, 'input': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}, 'output': {'values': {'0.25': Value('float64'), '0.5': Value('float64'), '0.75': Value('float64'), '1.0': Value('float64')}, 'mean': Value('float64')}}, 'composite': Value('float64')}, 'case_directory': Value('string')}
              because column names don't match
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DynSuperCLEVR `int_match_objs` failures

These are the 15 requested valid, scene-deduplicated failures from the completed Dyn generalization tests. Open index.html after downloading, or inspect cases.json. Each case folder has the raw and parsed prediction/ground truth, the complete metric row, the input dataset row, the inference record, and the matching video. Run sha256sum -c checksums.sha256 to verify the download.
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DynSuperCLEVR int_match_objs failures

DynSuperCLEVR `int_match_objs` failures
