The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/115/inputs/megapixels/[]) changed from string to number in row 0
During handling of the above exception, another exception occurred:
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 506, in __iter__
yield from self.ex_iterable
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 398, in __iter__
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 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
BudNSpud: The World's Smallest Sold-Out Show
One couch. Two hopeful comedians. An audience with folding legs. Six original AI-generated late-night claymation-style comedy chapters, plus a 90.500-second full film. Fictional entertainment; no claim of actual audience growth or live streaming.
Watch and download
- The theater
- Full film
- Six original generated clips:
clips/01.mp4throughclips/06.mp4. chapters.vttprovides optional chapter labels, not a verified dialogue transcript.prompts.json/prompts.md: scene actions, intended dialogue, audio, continuity and small comic lessons.manifest.json: exact durations, streams, file sizes and SHA-256 hashes.workflow/: sanitized reproducible per-scene graphs, without private infrastructure identifiers.provenance.json: source and preserved settings.
H3 technical contract
Source LoRA: BudNSpud_T2V_Minimax_H3_v1, exact trigger BudNSpud, strength 1. The model repository's config and final sample thumbnail were reviewed; no model README was present. User-provided VDN-H3 graph retained: int8 convrot H3 base, NVFP4 text encoder, VDN stage-dmd-step-250, turbo adapter enabled, 8 Euler steps, 0.8 MP widescreen, 24 FPS, original audio/video VAEs. Only character LoRA, prompt, requested duration, seed and output prefix changed. H3 frame-length alignment can make a requested 15 seconds slightly longer; inspect the manifest for actual durations. This release is six independently queued T2V chapters, not a seamless image-conditioned chain.
Honesty and rights
This is AI-generated fiction based on the user's original BudNSpud couch-world. Written dialogue and gags are intended direction, not proof the model performed every beat. Original generated audio is retained; voice words, lip sync and musical continuity are not guaranteed. See quality-notes.md for observed results. The source model does not provide a README license; no broader license to model weights or underlying third-party rights is asserted here. Download access is not a representation that every jurisdiction grants exclusive copyright in generated output. No endorsement by MiniMax or Hugging Face is implied.
Retrieve
hf download TheMindExpansionNetwork/budnspud-smallest-show --repo-type dataset --local-dir budnspud-smallest-show
# or
git clone https://huggingface.co/datasets/TheMindExpansionNetwork/budnspud-smallest-show
Story order: Empty House → The Hype Machine → Standing Ovation → Wrong Queue → The Smallest Joke → One Good Seat.
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