Omni-Rewriter Replay
Collection
Watch a clip, write validated H3 PE, optionally generate. Not official MiniMax/Qwen. github.com/WayneJin0918/Omni-Rewriter • 4 items • Updated • 1
Datasets:
Dataset Viewer
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: TypeError
Message: Couldn't cast array of type
struct<duration_seconds: int64, subject_definitions: string, summary: string, retention_analysis: string, detailed_description: string, overall_soundscape: string, non_diegetic_music: string>
to
{'task': Value('string'), 'duration_seconds': Value('int64'), 'integrated_multimodal_description': Value('string'), 'overall_soundscape': Value('string'), 'non_diegetic_music': Value('string')}
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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<duration_seconds: int64, subject_definitions: string, summary: string, retention_analysis: string, detailed_description: string, overall_soundscape: string, non_diegetic_music: string>
to
{'task': Value('string'), 'duration_seconds': Value('int64'), 'integrated_multimodal_description': Value('string'), 'overall_soundscape': Value('string'), 'non_diegetic_music': Value('string')}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.
Omni-Rewriter PE examples
Validated prompt-expansion envelopes for Omni-Rewriter. These are prompts, not generated videos.
pip install omni-rewriter
omni-rewriter validate fixtures/t2va_kite.json
Layout
| Path | What |
|---|---|
fixtures/ |
Small H3 / image PE envelopes from the repo tests |
fixtures/seedance/ |
Seedance PE profile examples (PE only; no Seedance generate) |
observation/ |
VideoObservation JSON for omni-rewriter reconstruct --from-observation |
reconstruct/ |
Replay observe outputs (full PE + *.h3.json clamped to the public 4–15s H3 generate window) |
Writer used for the reconstruct files: Qwen/Qwen3.6-35B-A3B. Optional generate: MiniMaxAI/MiniMax-H3.
Local media paths were stripped. This dataset is not MiniMax / Qwen / Seedance official.
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