Datasets:

yky666
/

engineai_urkl_sysu_frontier_fighter

License:

Dataset Viewer

Split (1)

train

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
status: string
motion_file: string
checkpoint: string
joint_order: list<item: string>
  child 0, item: string
horizon_steps: int64
episodes: int64
num_envs: int64
total_trials: int64
successes: int64
success_rate: double
min_success_rate: double
first_failure_reasons: struct<time_out: int64, anchor_pos: int64, anchor_ori: int64, ee_body_pos: int64>
  child 0, time_out: int64
  child 1, anchor_pos: int64
  child 2, anchor_ori: int64
  child 3, ee_body_pos: int64
mean_metrics: struct<error_anchor_pos: double, error_anchor_rot: double, error_anchor_lin_vel: double, error_ancho (... 253 chars omitted)
  child 0, error_anchor_pos: double
  child 1, error_anchor_rot: double
  child 2, error_anchor_lin_vel: double
  child 3, error_anchor_ang_vel: double
  child 4, error_body_pos: double
  child 5, error_body_rot: double
  child 6, error_body_lin_vel: double
  child 7, error_body_ang_vel: double
  child 8, error_joint_pos: double
  child 9, error_joint_vel: double
  child 10, sampling_entropy: double
  child 11, sampling_top1_prob: double
  child 12, sampling_top1_bin: double
thresholds: struct<min_time_out_rate: double, min_episode_length: double, max_anchor_pos_termination: double, ma (... 94 chars omitted)
  child 0, min_time_out_rate: double
  child 1, min_episode_length: double
  child 2, max_anchor_pos_termination: double
  child 3, max_anchor_ori_termination: double
  child 4, max_ee_pos_termination: double
  child 5, max_joint_pos_error: double
metrics: struct<time_out_rate: double, anchor_pos_termination_rate: double, anchor_ori_termination_rate: doub (... 119 chars omitted)
  child 0, time_out_rate: double
  child 1, anchor_pos_termination_rate: double
  child 2, anchor_ori_termination_rate: double
  child 3, ee_pos_termination_rate: double
  child 4, mean_episode_length: double
  child 5, joint_pos_l2_error: double
  child 6, anchor_pos_error: double
run_dir: string
tail_samples: int64
last_step: int64
missing_tags: list<item: null>
  child 0, item: null
motion: string
checks: struct<time_out_rate: bool, mean_episode_length: bool, anchor_pos_termination_rate: bool, anchor_ori (... 81 chars omitted)
  child 0, time_out_rate: bool
  child 1, mean_episode_length: bool
  child 2, anchor_pos_termination_rate: bool
  child 3, anchor_ori_termination_rate: bool
  child 4, ee_pos_termination_rate: bool
  child 5, joint_pos_l2_error: bool
to
{'motion': Value('string'), 'status': Value('string'), 'run_dir': Value('string'), 'checkpoint': Value('string'), 'last_step': Value('int64'), 'tail_samples': Value('int64'), 'metrics': {'time_out_rate': Value('float64'), 'anchor_pos_termination_rate': Value('float64'), 'anchor_ori_termination_rate': Value('float64'), 'ee_pos_termination_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'joint_pos_l2_error': Value('float64'), 'anchor_pos_error': Value('float64')}, 'checks': {'time_out_rate': Value('bool'), 'mean_episode_length': Value('bool'), 'anchor_pos_termination_rate': Value('bool'), 'anchor_ori_termination_rate': Value('bool'), 'ee_pos_termination_rate': Value('bool'), 'joint_pos_l2_error': Value('bool')}, 'missing_tags': List(Value('null')), 'thresholds': {'min_time_out_rate': Value('float64'), 'min_episode_length': Value('float64'), 'max_anchor_pos_termination': Value('float64'), 'max_anchor_ori_termination': Value('float64'), 'max_ee_pos_termination': Value('float64'), 'max_joint_pos_error': 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
              status: string
              motion_file: string
              checkpoint: string
              joint_order: list<item: string>
                child 0, item: string
              horizon_steps: int64
              episodes: int64
              num_envs: int64
              total_trials: int64
              successes: int64
              success_rate: double
              min_success_rate: double
              first_failure_reasons: struct<time_out: int64, anchor_pos: int64, anchor_ori: int64, ee_body_pos: int64>
                child 0, time_out: int64
                child 1, anchor_pos: int64
                child 2, anchor_ori: int64
                child 3, ee_body_pos: int64
              mean_metrics: struct<error_anchor_pos: double, error_anchor_rot: double, error_anchor_lin_vel: double, error_ancho (... 253 chars omitted)
                child 0, error_anchor_pos: double
                child 1, error_anchor_rot: double
                child 2, error_anchor_lin_vel: double
                child 3, error_anchor_ang_vel: double
                child 4, error_body_pos: double
                child 5, error_body_rot: double
                child 6, error_body_lin_vel: double
                child 7, error_body_ang_vel: double
                child 8, error_joint_pos: double
                child 9, error_joint_vel: double
                child 10, sampling_entropy: double
                child 11, sampling_top1_prob: double
                child 12, sampling_top1_bin: double
              thresholds: struct<min_time_out_rate: double, min_episode_length: double, max_anchor_pos_termination: double, ma (... 94 chars omitted)
                child 0, min_time_out_rate: double
                child 1, min_episode_length: double
                child 2, max_anchor_pos_termination: double
                child 3, max_anchor_ori_termination: double
                child 4, max_ee_pos_termination: double
                child 5, max_joint_pos_error: double
              metrics: struct<time_out_rate: double, anchor_pos_termination_rate: double, anchor_ori_termination_rate: doub (... 119 chars omitted)
                child 0, time_out_rate: double
                child 1, anchor_pos_termination_rate: double
                child 2, anchor_ori_termination_rate: double
                child 3, ee_pos_termination_rate: double
                child 4, mean_episode_length: double
                child 5, joint_pos_l2_error: double
                child 6, anchor_pos_error: double
              run_dir: string
              tail_samples: int64
              last_step: int64
              missing_tags: list<item: null>
                child 0, item: null
              motion: string
              checks: struct<time_out_rate: bool, mean_episode_length: bool, anchor_pos_termination_rate: bool, anchor_ori (... 81 chars omitted)
                child 0, time_out_rate: bool
                child 1, mean_episode_length: bool
                child 2, anchor_pos_termination_rate: bool
                child 3, anchor_ori_termination_rate: bool
                child 4, ee_pos_termination_rate: bool
                child 5, joint_pos_l2_error: bool
              to
              {'motion': Value('string'), 'status': Value('string'), 'run_dir': Value('string'), 'checkpoint': Value('string'), 'last_step': Value('int64'), 'tail_samples': Value('int64'), 'metrics': {'time_out_rate': Value('float64'), 'anchor_pos_termination_rate': Value('float64'), 'anchor_ori_termination_rate': Value('float64'), 'ee_pos_termination_rate': Value('float64'), 'mean_episode_length': Value('float64'), 'joint_pos_l2_error': Value('float64'), 'anchor_pos_error': Value('float64')}, 'checks': {'time_out_rate': Value('bool'), 'mean_episode_length': Value('bool'), 'anchor_pos_termination_rate': Value('bool'), 'anchor_ori_termination_rate': Value('bool'), 'ee_pos_termination_rate': Value('bool'), 'joint_pos_l2_error': Value('bool')}, 'missing_tags': List(Value('null')), 'thresholds': {'min_time_out_rate': Value('float64'), 'min_episode_length': Value('float64'), 'max_anchor_pos_termination': Value('float64'), 'max_anchor_ori_termination': Value('float64'), 'max_ee_pos_termination': Value('float64'), 'max_joint_pos_error': Value('float64')}}
              because column names don't match

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EngineAI URKL SYSU Frontier Fighter

MotionDecode Martial Arts and Dance samples retargeted to the EngineAI/Zhongqing T800 robot, with conversion scripts, visual inspection videos, and IsaacLab/RSL-RL training artifacts.

Snapshot generated: 2026-09-01T02:17:08+08:00

motiondecode_t800_aligned/csv_xyzw: T800 root pose and joint CSV motions
motiondecode_t800_aligned/gmr_pkl: GMR retargeted motion pickles
motiondecode_t800_aligned/tracking_npz: IsaacLab/BeyondMimic tracking NPZ files
motiondecode_t800_aligned/sonic_reference_t800*: SONIC-style T800 reference exports
motiondecode_t800_aligned/videos_mesh_fixed*: T800 mesh visualization videos
training_runs: checkpoints, exported policies, tensorboard logs, and playback videos
tools: helper scripts and T800 SONIC port notes

Current Counts

CSV motions: 786
GMR PKL motions: 786
IsaacLab NPZ motions: 786
MuJoCo mesh videos: 786
Staged files: 11168
Staged bytes: 41190554304

Downloads last month: 147

Total file size:

37.3 GB

EngineAI URKL SYSU Frontier Fighter

Contents

Current Counts