The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label pixelumm-toydata@53fdb7b6e6a3afd13e9edf22272361d65c8f68ec
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 2386, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2303, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2178, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1483, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1158, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label pixelumm-toydata@53fdb7b6e6a3afd13e9edf22272361d65c8f68ecNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PixelUMM toy training data
This package provides data for PixelUMM's four-step toy training example. It is not a benchmark or a recommended training corpus. It contains one T2I example, ten T2V examples, ten image-understanding examples, and ten video-understanding examples.
Files
pixelumm-toy-v1.zip: four task-specific JSONL manifests, local media,MANIFEST.jsonwith per-file SHA-256 hashes, andSOURCE_PROVENANCE.json.pixelumm-toy-v1.zip.sha256: SHA-256 of the complete ZIP.SOURCE_PROVENANCE.json: a separate copy of the packaged source record for inspection without extracting the ZIP.
The ZIP SHA-256 is
6d421e1cb5c77c819db90c96c672a58c52c930ec5502c81e2927fffcf765bb71.
Media paths in the package are relative. Model weights and tokenizers are
downloaded separately.
Use
Download both the ZIP and checksum, then from their directory run:
sha256sum -c pixelumm-toy-v1.zip.sha256
unzip -n pixelumm-toy-v1.zip -d /absolute/path/to/data
export PIXELUMM_TOY_ROOT=/absolute/path/to/data/pixelumm-toy-v1
Follow the PixelUMM source repository's TOY_DATA.md to verify the manifest and decode all examples on CPU. The training guide gives the four-step GPU training command.
Sources and redistribution
The T2I and image-understanding examples are selected from the
BAGEL example package.
The T2V clips were generated by PixelUMM S8-F22-R05. The video-understanding
examples are exported from
OpenGVLab/VideoChat-Flash-Training-Data
with its original annotations and frame ordering. Exact revisions, selected
IDs, hashes, and export details are in SOURCE_PROVENANCE.json.
The BAGEL sample itself incorporates media from other sources; neither the PixelUMM code license nor this card grants a new blanket license over all included media. Review each upstream source's terms before reusing or redistributing the included media.
- Downloads last month
- -