DK-VLM: Geometry as Position for Spatial Reasoning in Vision-Language Models
Paper • 2610.22356 • Published • 1
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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
images: list<item: string>
child 0, item: string
question_type: string
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
files: list<item: struct<path: string, rows: int64, sha256: string>>
child 0, item: struct<path: string, rows: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, sha256: string
total_rows: int64
step_range_inclusive: list<item: int64>
child 0, item: int64
to
{'step_range_inclusive': List(Value('int64')), 'total_rows': Value('int64'), 'files': List({'path': Value('string'), 'rows': Value('int64'), 'sha256': 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
images: list<item: string>
child 0, item: string
question_type: string
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
files: list<item: struct<path: string, rows: int64, sha256: string>>
child 0, item: struct<path: string, rows: int64, sha256: string>
child 0, path: string
child 1, rows: int64
child 2, sha256: string
total_rows: int64
step_range_inclusive: list<item: int64>
child 0, item: int64
to
{'step_range_inclusive': List(Value('int64')), 'total_rows': Value('int64'), 'files': List({'path': Value('string'), 'rows': Value('int64'), 'sha256': 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.
Reference-Frame Composition (RC)
RC provides stepwise supervision for reference-frame updates in multi-step spatial reasoning, addressing a supervision gap in single-step spatial question answering.
This repository provides approximately 1.6M RC annotations with 2–4 steps, constructed from verified single-step annotations in VSI-590K and SPAR. The paper uses 150K filtered and sampled two- and three-step examples for training.
Original images and videos are not included; obtain them from the corresponding source datasets. See GitHub for usage instructions.
Citation
@misc{su2026dkvlmgeometrypositionspatial,
title={DK-VLM: Geometry as Position for Spatial Reasoning in Vision-Language Models},
author={Han Su and Meng Tian and Tianyu Huang and Mingyu Gao and Lennox Wei and Dongxu Li and Jianhua Han and Hang Xu and Xiaohe Wu and Wangmeng Zuo},
year={2026},
eprint={2610.22356},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2610.22356},
}
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