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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:    TypeError
Message:      Couldn't cast array of type
struct<frame: int64, method: string, optimizer_message: string, optimizer_status: int64, optimizer_success: bool, post_repair_violation_m: double, pre_repair_violation_m: double, robot_root_rotation_delta_deg: double, robot_root_rotation_delta_rotvec: list<item: double>, robot_root_translation_delta_m: list<item: double>, geometry_names: list<item: string>>
to
{'frame': Value('int64'), 'geometry_names': List(Value('string')), 'pre_repair_violation_m': Value('float64'), 'robot_root_translation_delta_m': List(Value('float64'))}
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/json/json.py", line 343, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2068, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<frame: int64, method: string, optimizer_message: string, optimizer_status: int64, optimizer_success: bool, post_repair_violation_m: double, pre_repair_violation_m: double, robot_root_rotation_delta_deg: double, robot_root_rotation_delta_rotvec: list<item: double>, robot_root_translation_delta_m: list<item: double>, geometry_names: list<item: string>>
              to
              {'frame': Value('int64'), 'geometry_names': List(Value('string')), 'pre_repair_violation_m': Value('float64'), 'robot_root_translation_delta_m': List(Value('float64'))}

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Sharpa Artifacts

Public, versioned machine artifacts for the Sharpa functional-reorientation pipeline. Source code and download validators live in ai4ce/dex_retarget.

Layout

Artifacts are organized by object and immutable release:

objects/<object>/releases/<release-id>/

The current Stage3-compatible release is objects/phone/releases/phone20-stage12-v2. It contains 20 accepted Stage1 NPZ files, 20 final Sharpa retargeted_moving28_60fps.h5 trajectories, and the human/canonical H5, QA video, manifests, GoalContracts, and handoffs required by the current strict Stage3 provenance contract.

release_manifest.json and checksums.sha256 define every released byte. Consumers should pin an exact repository revision and verify the release manifest before use.

Releases

  • phone20-stage12-v2: current Stage3-compatible layout; preserves each handoff's original inputs/, stage2/, contracts/, and qa/ paths.
  • phone20-stage12-v1: historical first upload; usable for direct artifact inspection but superseded for Stage3 because it renamed inputs/ to stage1/ and omitted the handoff-bound QA video.

Data boundary

This repository contains derived research artifacts. It does not contain raw Vicon/MANUS capture, checkpoints, teacher rollouts, behavior-cloning datasets, or training logs. Public access does not grant rights to unrelated third-party assets; users remain responsible for their applicable licenses.

Current Stage3-compatible identity

  • Release: phone20-stage12-v2
  • Artifact commit: 7c3a60460e2c953c929fbfffdc1ab5a9a8607851
  • Release manifest SHA256: 84bd39b42ba3cdd0f9985fb4d6e1c002654d051dd7666b9fe9350b049b9b4149
  • Source producer commit: 22d7dd4ae9dd782625464788e5741a0565311c77
  • Source state: clean; all 20 handoffs record STAGE2_HANDOFF_ACCEPTED
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