MV-Sign: Multi-View 3D Motion Integration and Enhanced Text-to-Motion Conditioning for Sign Language Production
Paper • 2611.07811 • Published
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: CastError
Message: Couldn't cast
signs: list<item: string>
child 0, item: string
videos: int64
render_runs: list<item: string>
child 0, item: string
verification: string
frame_mapping: string
metadata_changes: string
scope: string
archive_bytes: int64
sequences: int64
metadata_files: list<item: string>
child 0, item: string
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
signs: list<item: string>
child 0, item: string
videos: int64
render_runs: list<item: string>
child 0, item: string
verification: string
frame_mapping: string
metadata_changes: string
scope: string
archive_bytes: int64
sequences: int64
metadata_files: list<item: string>
child 0, item: string
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.
SGNify-MV
Rendered frontal and side videos for 57 SGNify signs, generated from the original SGNify ground-truth SMPL-X mesh sequences. There are 114 videos, all at 30 FPS. Only the two designated 30-FPS render runs are included, not older eevee/non-30-FPS attempts.
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.
Contents
videos/front/<sign>.mp4andvideos/side/<sign>.mp4: full rendered sequences, preserved without re-encoding.metadata/front/andmetadata/side/: saved camera, lighting, engine, resolution, and rendering parameters. Local input/output paths are reduced to basenames.frame_correspondence.tsv: explicit mapping from zero-based rendered frame index to original GT OBJ filename, RGB frame label, and whether the frame is in the annotated central range.
The videos are not cropped to central segments. Use frame_correspondence.tsv for evaluation: GT filenames divided by two give the original RGB frame labels, not zero-based positions. Central-range bounds are inclusive. Do not simply pair the first predicted central frame with the first full-sequence GT frame.
Download
Download data/SGNify-MV.tar and SHA256SUMS, then run:
sha256sum -c SHA256SUMS
tar -xf data/SGNify-MV.tar
All videos were fully decoded for frame-count verification against the numerically sorted source OBJ list and the saved rendering metadata. samples.csv gives per-video FPS, resolution, frame counts, central bounds, and SHA-256. Original RGB videos, GT meshes, textures, and SMPL-X/MANO assets are not included. Rendering source code is being organized separately.
Please cite SGNify and MV-Sign and follow applicable source-dataset and model terms. This resource does not grant additional rights to upstream assets.
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