Dataset Viewer
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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
workflow: string
scene_count: int64
hero_still: string
note: string
scenes: list<item: struct<id: string, clip: string, audio: string, model: string, beat: string>>
  child 0, item: struct<id: string, clip: string, audio: string, model: string, beat: string>
      child 0, id: string
      child 1, clip: string
      child 2, audio: string
      child 3, model: string
      child 4, beat: string
probe: string
input: struct<image: string, audio: string, video_prompt: string, resolution: string>
  child 0, image: string
  child 1, audio: string
  child 2, video_prompt: string
  child 3, resolution: string
prompt: string
model: string
output_url: string
to
{'model': Value('string'), 'prompt': Value('string'), 'input': {'image': Value('string'), 'audio': Value('string'), 'video_prompt': Value('string'), 'resolution': Value('string')}, 'output_url': Value('string'), 'probe': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              workflow: string
              scene_count: int64
              hero_still: string
              note: string
              scenes: list<item: struct<id: string, clip: string, audio: string, model: string, beat: string>>
                child 0, item: struct<id: string, clip: string, audio: string, model: string, beat: string>
                    child 0, id: string
                    child 1, clip: string
                    child 2, audio: string
                    child 3, model: string
                    child 4, beat: string
              probe: string
              input: struct<image: string, audio: string, video_prompt: string, resolution: string>
                child 0, image: string
                child 1, audio: string
                child 2, video_prompt: string
                child 3, resolution: string
              prompt: string
              model: string
              output_url: string
              to
              {'model': Value('string'), 'prompt': Value('string'), 'input': {'image': Value('string'), 'audio': Value('string'), 'video_prompt': Value('string'), 'resolution': Value('string')}, 'output_url': Value('string'), 'probe': Value('string')}
              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.

Pruna Skills — doc examples

Generated media and sidecars for PrunaAI/pruna-skills documentation.

Each file under examples/ matches a skill demo in docs/EXAMPLES.md. PNG/MP3/MP4 outputs have a sibling .meta.json with the exact prompt, model, and inputs.

Layout

examples/
  p-image-brass-hummingbird.png
  p-image-brass-hummingbird.meta.json
  chain-monarch-clip.mp4
  …

Regenerate (maintainers)

From the skills repo:

make download-doc-examples-hf   # pull checked-in examples from HF (no API)
make doc-examples               # regenerate via Pruna API
make upload-doc-examples-hf
make doc-examples-urls

Requires PRUNA_API_KEY for generation and a Hugging Face token with write access to PrunaAI/pruna-skills.

Direct URL

https://huggingface.co/datasets/PrunaAI/pruna-skills/resolve/main/examples/<filename>

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