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: ValueError
Message: Illegal slicing argument for scalar dataspace
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 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/hdf5/hdf5.py", line 83, in _generate_tables
pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
arr = _recursive_load_arrays(obj, features[path], start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
arr = _recursive_load_arrays(obj, features[path], start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
arr = _recursive_load_arrays(obj, features[path], start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 269, in _recursive_load_arrays
arr = _load_array(obj, path, start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 236, in _load_array
arr = dset[start:end]
~~~~^^^^^^^^^^^
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/usr/local/lib/python3.14/site-packages/h5py/_hl/dataset.py", line 931, in __getitem__
selection = sel2.select_read(fspace, args)
File "/usr/local/lib/python3.14/site-packages/h5py/_hl/selections2.py", line 101, in select_read
return ScalarReadSelection(fspace, args)
File "/usr/local/lib/python3.14/site-packages/h5py/_hl/selections2.py", line 86, in __init__
raise ValueError("Illegal slicing argument for scalar dataspace")
ValueError: Illegal slicing argument for scalar dataspaceNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Cosmic — MolmoSpaces Benchmark Evaluation Artifacts
Complete evaluation artifacts for Cosmic, the TAMP + foundation-model manipulation policy developed by Geodesic, evaluated on the MolmoSpaces benchmark suite (Franka arm, joint-position action space). Evaluations ran 2026-09-16 → 09-18 on eight RTX 5090 instances. Policy code is not open-sourced.
Results (oracle success condition, official eval_to_csv.py)
| Benchmark | Episodes | Success rate |
|---|---|---|
| Pick-v1.1 (bench-v1) | 1000 | 62.6% |
| Pick-v1.5 (bench-v2) | 1000 | 61.1% |
| Pick-v2-classic | 1000 | 51.4% (514/1000; one episode unrunnable, see below) |
| Pick-v2-filament | 1000 | 49.1% |
| Pick-v2-rand-cam | 1000 | 53.0% |
| Pick&Place-v1 | 1000 | 44.7% |
| Pick&Place-v2 | 1000 | 40.7% |
| Pick&Place-color-v2 | 1000 | 41.7% |
| Pick&Place-NextTo-v2 | 1000 | 43.3% |
| Open-v1 | 1000 | 58.5% |
| Close-v1 | 915 | 87.9% |
| 11-task average | 54.0% |
Result CSVs are also published at https://github.com/Vrushabh27/cosmic_results.
Layout
Cosmic_<bench>_oracle.csv— leaderboard CSVs (also under<bench>/),Cosmic_all_csvs.zip— all 11.<bench>/manifest.json— the scored episode set: one entry per benchmark episode with the h5 file + trajectory group that was scored and its success flag.eval_output/<pod>/cosmic_<bench>/…/house_<i>/*.h5— every trajectory produced by the campaign (raw harness output, ~10.9k scored episodes plus superseded duplicate runs). No videos were kept for this campaign.logs/— fleet guardian log, hourly coverage tables, sample lane logs;final_score.json— scoring summary.
Scoring notes
- Exactly one instance per benchmark episode; an episode is identified by its house and object start pose. Where an episode was run more than once (chunk requeued after an infrastructure failure, or a two-episode house re-run to recover its sibling), the earliest completed run is scored — never the best of several.
- Pick/PnP/NextTo CSVs come from the official
scripts/benchmarks/eval_to_csv.py --success-condition oracleon the deduplicated trajectory set; Open/Close use a per-episode matcher against the DataGenConfig benchmark definitions with the same success condition and confidence interval. - Pick-v2-classic episode 394 (house 2695) cannot be simulated with the published benchmark archive (objaverse asset
af3281f986cc40b9b3cbca1f72e77f46_visual.objmissing) and is counted as a failure (514/1000); the CSV's OVERALL row lists the 999 simulated episodes. - ~780 pick-benchmark episodes early in the campaign ran while the GraspGen-X grasp server was down (M2T2 only); they scored 2–4 points below the remainder (within noise) and were kept as-is.
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