The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
wrist_guard: struct<mode: string, capture_t_s: double, initial_reference: list<item: double>, valid: bool, error: (... 293 chars omitted)
child 0, mode: string
child 1, capture_t_s: double
child 2, initial_reference: list<item: double>
child 0, item: double
child 3, valid: bool
child 4, error: string
child 5, checked_at_s: double
child 6, sample_t_s: double
child 7, measured_wrench: list<item: double>
child 0, item: double
child 8, reference_before: list<item: double>
child 0, item: double
child 9, reference_after: list<item: double>
child 0, item: double
child 10, deviation: list<item: double>
child 0, item: double
child 11, force_deviation_n: double
child 12, torque_deviation_nm: double
child 13, over_since_s: null
child 14, baseline_adapted: bool
t: double
latency_s: double
gate: double
p_evt: list<item: double>
child 0, item: double
sigma: list<item: double>
child 0, item: double
accepted: bool
actions: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
tcp_pose: list<item: double>
child 0, item: double
terminal_veto: null
diag: struct<policy: string, policy_class: string, action_space: string, chunk_steps: int64, padded_steps: (... 95 chars omitted)
child 0, policy: string
child 1, policy_class: string
child 2, action_space: string
child 3, chunk_steps: int64
child 4, padded_steps: int64
child 5, nfe: int64
child 6, nfe_applied: bool
child 7, deno
...
5, wrench_debounce_ticks: int64
child 16, tactile_fz_limit_N: double
child 17, stale_plan_timeout_s: double
child 7, max_play_steps: int64
child 8, min_replan_s: double
child 9, record_tail_s: double
child 10, home_bounds: struct<y_max: double, z_min: double>
child 0, y_max: double
child 1, z_min: double
child 11, grip_play_steps: int64
child 12, grip_latch: bool
child 13, select_by: string
child 14, agreement_shadow: bool
tags: list<item: string>
child 0, item: string
notes: string
clock_calibration: struct<offset: double, n_samples: int64, spread_s: double>
child 0, offset: double
child 1, n_samples: int64
child 2, spread_s: double
dagger_round: int64
config_hash: string
weight: double
operator: string
success: bool
hardware_shapes: struct<field: list<item: int64>, field_ch: int64, keyframe_ds: list<item: int64>, n_fingers: int64, (... 182 chars omitted)
child 0, field: list<item: int64>
child 0, item: int64
child 1, field_ch: int64
child 2, keyframe_ds: list<item: int64>
child 0, item: int64
child 3, n_fingers: int64
child 4, wrench_dim: int64
child 5, wrist_ft_dim: int64
child 6, wrist_window_len: int64
child 7, ur_state_dim: int64
child 8, contact_state_dim: int64
child 9, action_dim: int64
child 10, chunk_horizon: int64
child 11, cpk_shape: list<item: int64>
child 0, item: int64
driver_modes: struct<drivers: string>
child 0, drivers: string
task: string
text: string
damage: bool
to
{'task': Value('string'), 'text': Value('string'), 'operator': Value('string'), 'tags': List(Value('string')), 'policy': Value('string'), 'dagger_round': Value('int64'), 'success': Value('bool'), 'damage': Value('bool'), 'notes': Value('string'), 'driver_modes': {'drivers': Value('string')}, 'clock_calibration': {'offset': Value('float64'), 'n_samples': Value('int64'), 'spread_s': Value('float64')}, 'config_hash': Value('string'), 'hardware_shapes': {'field': List(Value('int64')), 'field_ch': Value('int64'), 'keyframe_ds': List(Value('int64')), 'n_fingers': Value('int64'), 'wrench_dim': Value('int64'), 'wrist_ft_dim': Value('int64'), 'wrist_window_len': Value('int64'), 'ur_state_dim': Value('int64'), 'contact_state_dim': Value('int64'), 'action_dim': Value('int64'), 'chunk_horizon': Value('int64'), 'cpk_shape': List(Value('int64'))}, 'deploy_overrides': {'servo_reach_profile': {'id': Value('string'), 'effective_limits': {'elbow_min_rad': Value('float64'), 'servo_joint_speed_max_rad_s': Value('float64'), 'servo_constraint_hold_s': Value('float64')}}, 'hitbox_m': {'x': List(Value('float64')), 'y': List(Value('float64')), 'z': List(Value('float64')), 'margin_m': Value('float64')}, 'z_floor_m': Value('float64'), 'grip_latch_release_s': Value('float64'), 'placement_descent': {'enabled': Value('bool'), 'release_z_m': Value('float64'), 'task': Value('string'), 'release_y_min_m': Value('float64'), 'y_crate_edge_m': Value('float64'), 'release_gate_z_m': Value('float64'), 'lift_m': Value('float64'), 'dwell_s': Value('float64'), 'open_hold_s': Value('float64'), 'retract_m': Value('float64'), 'retract_speed_m_s': Value('float64'), 'z_tolerance_m': Value('float64'), 'max_retract_s': Value('float64'), 'variant': Value('string'), 'config_sha256': Value('string')}, 'ckpt_sha': Value('string'), 'safety_effective': {'wrist_extension_stop_m': Value('float64'), 'joint_speed_stop_rad_s': Value('float64'), 'reach_clamp_m': Value('float64'), 'lift_complete_z_m': Value('float64'), 'lift_complete_fz_n': Value('float64'), 'lift_complete_hold_s': Value('float64'), 'lift_complete_window_s': Value('float64'), 'grip_latch_fz_n': Value('float64'), 'elbow_min_rad': Value('float64'), 'servo_joint_speed_max_rad_s': Value('float64'), 'servo_constraint_hold_s': Value('float64'), 'wrench_limit_N': Value('float64'), 'wrench_limit_Nm': Value('float64'), 'wrench_baseline_mode': Value('string'), 'wrench_baseline_tau_s': Value('float64'), 'wrench_debounce_ticks': Value('int64'), 'tactile_fz_limit_N': Value('float64'), 'stale_plan_timeout_s': Value('float64')}, 'max_play_steps': Value('int64'), 'min_replan_s': Value('float64'), 'record_tail_s': Value('float64'), 'home_bounds': {'y_max': Value('float64'), 'z_min': Value('float64')}, 'grip_play_steps': Value('int64'), 'grip_latch': Value('bool'), 'select_by': Value('string'), 'agreement_shadow': Value('bool')}, 'status': Value('string'), 'weight': Value('float64')}
because column names don't match
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 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
wrist_guard: struct<mode: string, capture_t_s: double, initial_reference: list<item: double>, valid: bool, error: (... 293 chars omitted)
child 0, mode: string
child 1, capture_t_s: double
child 2, initial_reference: list<item: double>
child 0, item: double
child 3, valid: bool
child 4, error: string
child 5, checked_at_s: double
child 6, sample_t_s: double
child 7, measured_wrench: list<item: double>
child 0, item: double
child 8, reference_before: list<item: double>
child 0, item: double
child 9, reference_after: list<item: double>
child 0, item: double
child 10, deviation: list<item: double>
child 0, item: double
child 11, force_deviation_n: double
child 12, torque_deviation_nm: double
child 13, over_since_s: null
child 14, baseline_adapted: bool
t: double
latency_s: double
gate: double
p_evt: list<item: double>
child 0, item: double
sigma: list<item: double>
child 0, item: double
accepted: bool
actions: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
tcp_pose: list<item: double>
child 0, item: double
terminal_veto: null
diag: struct<policy: string, policy_class: string, action_space: string, chunk_steps: int64, padded_steps: (... 95 chars omitted)
child 0, policy: string
child 1, policy_class: string
child 2, action_space: string
child 3, chunk_steps: int64
child 4, padded_steps: int64
child 5, nfe: int64
child 6, nfe_applied: bool
child 7, deno
...
5, wrench_debounce_ticks: int64
child 16, tactile_fz_limit_N: double
child 17, stale_plan_timeout_s: double
child 7, max_play_steps: int64
child 8, min_replan_s: double
child 9, record_tail_s: double
child 10, home_bounds: struct<y_max: double, z_min: double>
child 0, y_max: double
child 1, z_min: double
child 11, grip_play_steps: int64
child 12, grip_latch: bool
child 13, select_by: string
child 14, agreement_shadow: bool
tags: list<item: string>
child 0, item: string
notes: string
clock_calibration: struct<offset: double, n_samples: int64, spread_s: double>
child 0, offset: double
child 1, n_samples: int64
child 2, spread_s: double
dagger_round: int64
config_hash: string
weight: double
operator: string
success: bool
hardware_shapes: struct<field: list<item: int64>, field_ch: int64, keyframe_ds: list<item: int64>, n_fingers: int64, (... 182 chars omitted)
child 0, field: list<item: int64>
child 0, item: int64
child 1, field_ch: int64
child 2, keyframe_ds: list<item: int64>
child 0, item: int64
child 3, n_fingers: int64
child 4, wrench_dim: int64
child 5, wrist_ft_dim: int64
child 6, wrist_window_len: int64
child 7, ur_state_dim: int64
child 8, contact_state_dim: int64
child 9, action_dim: int64
child 10, chunk_horizon: int64
child 11, cpk_shape: list<item: int64>
child 0, item: int64
driver_modes: struct<drivers: string>
child 0, drivers: string
task: string
text: string
damage: bool
to
{'task': Value('string'), 'text': Value('string'), 'operator': Value('string'), 'tags': List(Value('string')), 'policy': Value('string'), 'dagger_round': Value('int64'), 'success': Value('bool'), 'damage': Value('bool'), 'notes': Value('string'), 'driver_modes': {'drivers': Value('string')}, 'clock_calibration': {'offset': Value('float64'), 'n_samples': Value('int64'), 'spread_s': Value('float64')}, 'config_hash': Value('string'), 'hardware_shapes': {'field': List(Value('int64')), 'field_ch': Value('int64'), 'keyframe_ds': List(Value('int64')), 'n_fingers': Value('int64'), 'wrench_dim': Value('int64'), 'wrist_ft_dim': Value('int64'), 'wrist_window_len': Value('int64'), 'ur_state_dim': Value('int64'), 'contact_state_dim': Value('int64'), 'action_dim': Value('int64'), 'chunk_horizon': Value('int64'), 'cpk_shape': List(Value('int64'))}, 'deploy_overrides': {'servo_reach_profile': {'id': Value('string'), 'effective_limits': {'elbow_min_rad': Value('float64'), 'servo_joint_speed_max_rad_s': Value('float64'), 'servo_constraint_hold_s': Value('float64')}}, 'hitbox_m': {'x': List(Value('float64')), 'y': List(Value('float64')), 'z': List(Value('float64')), 'margin_m': Value('float64')}, 'z_floor_m': Value('float64'), 'grip_latch_release_s': Value('float64'), 'placement_descent': {'enabled': Value('bool'), 'release_z_m': Value('float64'), 'task': Value('string'), 'release_y_min_m': Value('float64'), 'y_crate_edge_m': Value('float64'), 'release_gate_z_m': Value('float64'), 'lift_m': Value('float64'), 'dwell_s': Value('float64'), 'open_hold_s': Value('float64'), 'retract_m': Value('float64'), 'retract_speed_m_s': Value('float64'), 'z_tolerance_m': Value('float64'), 'max_retract_s': Value('float64'), 'variant': Value('string'), 'config_sha256': Value('string')}, 'ckpt_sha': Value('string'), 'safety_effective': {'wrist_extension_stop_m': Value('float64'), 'joint_speed_stop_rad_s': Value('float64'), 'reach_clamp_m': Value('float64'), 'lift_complete_z_m': Value('float64'), 'lift_complete_fz_n': Value('float64'), 'lift_complete_hold_s': Value('float64'), 'lift_complete_window_s': Value('float64'), 'grip_latch_fz_n': Value('float64'), 'elbow_min_rad': Value('float64'), 'servo_joint_speed_max_rad_s': Value('float64'), 'servo_constraint_hold_s': Value('float64'), 'wrench_limit_N': Value('float64'), 'wrench_limit_Nm': Value('float64'), 'wrench_baseline_mode': Value('string'), 'wrench_baseline_tau_s': Value('float64'), 'wrench_debounce_ticks': Value('int64'), 'tactile_fz_limit_N': Value('float64'), 'stale_plan_timeout_s': Value('float64')}, 'max_play_steps': Value('int64'), 'min_replan_s': Value('float64'), 'record_tail_s': Value('float64'), 'home_bounds': {'y_max': Value('float64'), 'z_min': Value('float64')}, 'grip_play_steps': Value('int64'), 'grip_latch': Value('bool'), 'select_by': Value('string'), 'agreement_shadow': Value('bool')}, 'status': Value('string'), 'weight': Value('float64')}
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.
HapticWAM — closed-loop rig episodes
Recorded rollouts from the physical rig for HapticWAM (Haptic World-Action Model), the tactile world-action model built on Cosmos-Predict2.5-2B: a tactile-conditioned teacher whose imagined contact future is distilled into a pad-free student. Rig: UR3 CB3 over RTDE + Robotiq 2F-85 with Daimon DM-Tac W2L fingertip pads + RealSense scene camera. These are the deployment takes behind the 2026-09-16 closed-loop evaluation (teacher, pad-free student, pi0.5 and Diffusion Policy baselines).
Renamed from
armteam/phantom-rig-20260915on 2026-09-19, when the project's working name PHANTOM became HapticWAM. The old id still redirects. The Python package and CLI keep the namephantom, so checkpoint names, config keys and run names are unchanged.
Layout
| Path | What |
|---|---|
20260915_experiment/ |
the analysis set — the takes the reported numbers are computed from |
20260915_experiment_extra/ |
additional takes recorded in the same sessions, outside the analysis set |
20260915_experiment_superseded/ |
takes replaced by a later re-run; kept for provenance |
One directory per episode, named ep_<arm>_<task>_<epoch>_<idx>, where <arm> identifies the
policy under test. Tactile is recorded in every mode, including the pad-free student runs, so
the student's takes can be scored against contact it never saw.
Episode format
Each episode directory holds one zarr group per stream (a data array plus a ts array of
master-clock timestamps) and a meta.json: camera_scene_color, tactile_left, tactile_right,
arm (q, qd, tcp_pose, tcp_speed, ft), gripper, actions, actions_abs. The same
format as armteam/hapticwam-teleop-raw,
which documents the streams and rates in full.
Related repositories
- Code: the HapticWAM repository (Python package
phantom). - Teleop episodes:
armteam/hapticwam-teleop-raw - Simulation episodes:
armteam/hapticwam-sim-episodes - Result media:
armteam/hapticwam-results - Checkpoints:
armteam/phantom-checkpoints(id unchanged)
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