MV-Sign: Multi-View 3D Motion Integration and Enhanced Text-to-Motion Conditioning for Sign Language Production
Paper • 2611.07811 • Published
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
split_counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
model: string
model_provenance: string
demonstrations: int64
target_sentences_per_request: int64
vocabulary: string
prompt_source: string
note: string
metadata_files: list<item: string>
child 0, item: string
archive_bytes: int64
sequences: int64
archives: list<item: struct<path: string, bytes: int64, sha256: string, members: int64, payloads_verified: boo (... 3 chars omitted)
child 0, item: struct<path: string, bytes: int64, sha256: string, members: int64, payloads_verified: bool>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, members: int64
child 4, payloads_verified: bool
dataset: string
version: timestamp[s]
to
{'dataset': Value('string'), 'version': Value('timestamp[s]'), 'sequences': Value('int64'), 'archive_bytes': Value('int64'), 'archives': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'members': Value('int64'), 'payloads_verified': Value('bool')}), 'metadata_files': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
split_counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
model: string
model_provenance: string
demonstrations: int64
target_sentences_per_request: int64
vocabulary: string
prompt_source: string
note: string
metadata_files: list<item: string>
child 0, item: string
archive_bytes: int64
sequences: int64
archives: list<item: struct<path: string, bytes: int64, sha256: string, members: int64, payloads_verified: boo (... 3 chars omitted)
child 0, item: struct<path: string, bytes: int64, sha256: string, members: int64, payloads_verified: bool>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
child 3, members: int64
child 4, payloads_verified: bool
dataset: string
version: timestamp[s]
to
{'dataset': Value('string'), 'version': Value('timestamp[s]'), 'sequences': Value('int64'), 'archive_bytes': Value('int64'), 'archives': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'members': Value('int64'), 'payloads_verified': Value('bool')}), 'metadata_files': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
How2Sign GPT-5.2 Pseudo-Gloss
Original saved GPT-5.2 pseudo-gloss labels used by MV-Sign, not newly regenerated translations or human-validated ASL ground truth.
| Split | Source sentences |
|---|---|
| Train | 31,165 |
| Validation | 1,741 |
| Test | 2,357 |
| Total | 35,263 |
The archive contains the original two-column labels as tab-separated files and joined English/pseudo-gloss tables under labels/. Identifiers match the original How2Sign manually realigned sentence files. Join sample_id with the motion resource's samples.csv to select the subset with completed motion reconstructions; label counts are intentionally larger than the final motion count.
Production configuration: GPT-5.2, 20 demonstrations, an ASLCitizen retrieval vocabulary, and 20 target sentences per request, following the prompt in Appendix B / Table 6 of Zhang et al., Towards AI-driven Sign Language Generation with Non-manual Markers. These settings describe the author-confirmed original annotation procedure, not a claim that the model service is still available or that a rerun would be identical.
Download data/How2Sign-PseudoGloss.tar, verify SHA256SUMS, and extract using tar -xf. samples.csv provides all sentence labels with source and motion-compatible identifiers. processing_audit.json documents split counts and production provenance.
Project: https://github.com/ronggong000/MV-Sign
Paper: https://arxiv.org/abs/2611.07811 This dataset is associated with the MV-Sign research project. Please cite the MV-Sign paper and the original source dataset when using this resource.
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