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
type: string
bottom_center: list<item: double>
child 0, item: double
functional_grasp: struct<body: list<item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list< (... 268 chars omitted)
child 0, body: list<item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list<item: double> (... 254 chars omitted)
child 0, item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: l (... 242 chars omitted)
child 0, coarse_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
child 1, fine_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
child 2, final_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
grasp: struct<>
evaluation: struct<collider: string, num_candidates: int64, num_passed: int64>
child 0, collider: string
child 1, num_candidates: int64
child 2, num_passed: int64
to
{'type': Value('string'), 'bottom_center': List(Value('float64')), 'functional_grasp': {'body': List(List(Value('float64')))}, 'grasp': {}}
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
type: string
bottom_center: list<item: double>
child 0, item: double
functional_grasp: struct<body: list<item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list< (... 268 chars omitted)
child 0, body: list<item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list<item: double> (... 254 chars omitted)
child 0, item: struct<coarse_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: l (... 242 chars omitted)
child 0, coarse_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
child 1, fine_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
child 2, final_grasp: struct<position: list<item: double>, orientation: list<item: double>, joints: list<item: double>>
child 0, position: list<item: double>
child 0, item: double
child 1, orientation: list<item: double>
child 0, item: double
child 2, joints: list<item: double>
child 0, item: double
grasp: struct<>
evaluation: struct<collider: string, num_candidates: int64, num_passed: int64>
child 0, collider: string
child 1, num_candidates: int64
child 2, num_passed: int64
to
{'type': Value('string'), 'bottom_center': List(Value('float64')), 'functional_grasp': {'body': List(List(Value('float64')))}, 'grasp': {}}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
vast3 MobileManipBench: migration payload (2026-11-02)
Public dataset repo. Code is NOT here: it is on GitHub luhr2003/MagicSim, lead branch mobilemanipbench-lead-setup (also mmb/integration = mobilemanipbench/integration), agent branches mobilemanipbench/a01 .. a12 (a10-clean).
| Folder | What | Restore |
|---|---|---|
assets/ |
the working Assets copy every run used (4048 files, 7 GB, git Assets/ incl. the self-made task assets) |
hf download yyoraa/vast3-mobilemanipbench-migration --repo-type dataset --include "assets/*" --local-dir X, then put X/assets where $MAGICSIM_ASSETS points (/workspace/mobilemanipbench/shared/Assets) |
data/ |
dexgrasp-robotwin-4gripper copy (third-party, unchanged) + sawyer_umi_grasp_counts.tsv |
/workspace/mobilemanipbench/data/ |
demos/videos, demos/video_samples |
recorded formal videos and samples | view / reuse |
demos/records |
complete replayable records (sim_info/<traj>/{scene_snapshot.json, sim_states.npz, actions.npz, ...}) + demo_manifest.tsv |
read by the demo renderer; run_dir.txt in each folder has the original path |
handoff/ |
aNN.md handoff of each of the 12 agents (what is done, how to run, traps, what must be re-run) + the stretch arm package and a04's branch bundle |
read first |
lead_state/ |
status/ (per-task gate results), table/, inbox/, work_order/, demo_manifest.d/, locks/gpu_reserved, STRETCH_HOLD.md, MOBILE_DEMO_NOTES.md, LEAD_RESUME.md, lead_memory/ (the lead's notes) |
copy back to /workspace/mobilemanipbench/ |
Rules that matter on the new machine: every counted success must be replayable without physics (AGENT_GUIDE.md section 4b, record.formats contains sim_info); the stretch hold and the stretch arm package are in handoff/ and lead_state/STRETCH_HOLD.md; the host CUDA fault of the old machine (/dev/nvidia-uvm EIO) does not exist there, check cuInit returns 0 before starting kits.
- Downloads last month
- 62