Dataset Viewer
Duplicate
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
action_count: int64
decoded_images_persisted: bool
episode_seed: int64
execution_protocol: string
frame_action_ownership: string
frame_count: int64
frame_timing: string
identity: struct<directory_metadata: struct<fingerprint.backend_id: string, fingerprint.behavior_data.behavior (... 3717 chars omitted)
  child 0, directory_metadata: struct<fingerprint.backend_id: string, fingerprint.behavior_data.behavior_data_id: string, fingerpri (... 84 chars omitted)
      child 0, fingerprint.backend_id: string
      child 1, fingerprint.behavior_data.behavior_data_id: string
      child 2, fingerprint.dynamics.dynamics_id: string
      child 3, fingerprint.target_policy.target_policy_id: string
  child 1, directory_prefix_fields: list<item: string>
      child 0, item: string
  child 2, fingerprint_hash: string
  child 3, id_key: string
  child 4, metadata: struct<extras: struct<metadata_sources: struct<environment: string, initial_condition: string, polic (... 3358 chars omitted)
      child 0, extras: struct<metadata_sources: struct<environment: string, initial_condition: string, policy: string, shap (... 20 chars omitted)
          child 0, metadata_sources: struct<environment: string, initial_condition: string, policy: string, shape_metadata: string>
              child 0, environment: string
              child 1, initial_condition: string
              child 2, policy: string
              child 3, shape_metadata: string
      child 1, fingerprint: struct<backend_id: string, beha
...
actions: struct<normalization: null>
              child 0, normalization: null
  child 8, target_policy_checkpoint: struct<checkpoint_recorded_success_rate: null, path: string, sha256: string>
      child 0, checkpoint_recorded_success_rate: null
      child 1, path: string
      child 2, sha256: string
  child 9, target_policy_experiment_config: struct<path: string, sha256: string>
      child 0, path: string
      child 1, sha256: string
schema_version: string
timing_seconds: struct<rollout: double>
  child 0, rollout: double
view_height: int64
view_layout: string
view_names: list<item: string>
  child 0, item: string
view_width: int64
files: struct<rollout.mp4: struct<sha256: string, size_bytes: int64>, trajectory.h5: struct<sha256: string, (... 80 chars omitted)
  child 0, rollout.mp4: struct<sha256: string, size_bytes: int64>
      child 0, sha256: string
      child 1, size_bytes: int64
  child 1, trajectory.h5: struct<sha256: string, size_bytes: int64>
      child 0, sha256: string
      child 1, size_bytes: int64
  child 2, trajectory.json: struct<sha256: string, size_bytes: int64>
      child 0, sha256: string
      child 1, size_bytes: int64
requested_codec: string
video: struct<codec: string, file_size_bytes: int64, fps: double, frame_count: int64, height: int64, width: (... 7 chars omitted)
  child 0, codec: string
  child 1, file_size_bytes: int64
  child 2, fps: double
  child 3, frame_count: int64
  child 4, height: int64
  child 5, width: int64
complete: bool
to
{'complete': Value('bool'), 'files': {'rollout.mp4': {'sha256': Value('string'), 'size_bytes': Value('int64')}, 'trajectory.h5': {'sha256': Value('string'), 'size_bytes': Value('int64')}, 'trajectory.json': {'sha256': Value('string'), 'size_bytes': Value('int64')}}, 'requested_codec': Value('string'), 'schema_version': Value('string'), 'video': {'codec': Value('string'), 'file_size_bytes': Value('int64'), 'fps': Value('float64'), 'frame_count': Value('int64'), 'height': Value('int64'), 'width': Value('int64')}}
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
              action_count: int64
              decoded_images_persisted: bool
              episode_seed: int64
              execution_protocol: string
              frame_action_ownership: string
              frame_count: int64
              frame_timing: string
              identity: struct<directory_metadata: struct<fingerprint.backend_id: string, fingerprint.behavior_data.behavior (... 3717 chars omitted)
                child 0, directory_metadata: struct<fingerprint.backend_id: string, fingerprint.behavior_data.behavior_data_id: string, fingerpri (... 84 chars omitted)
                    child 0, fingerprint.backend_id: string
                    child 1, fingerprint.behavior_data.behavior_data_id: string
                    child 2, fingerprint.dynamics.dynamics_id: string
                    child 3, fingerprint.target_policy.target_policy_id: string
                child 1, directory_prefix_fields: list<item: string>
                    child 0, item: string
                child 2, fingerprint_hash: string
                child 3, id_key: string
                child 4, metadata: struct<extras: struct<metadata_sources: struct<environment: string, initial_condition: string, polic (... 3358 chars omitted)
                    child 0, extras: struct<metadata_sources: struct<environment: string, initial_condition: string, policy: string, shap (... 20 chars omitted)
                        child 0, metadata_sources: struct<environment: string, initial_condition: string, policy: string, shape_metadata: string>
                            child 0, environment: string
                            child 1, initial_condition: string
                            child 2, policy: string
                            child 3, shape_metadata: string
                    child 1, fingerprint: struct<backend_id: string, beha
              ...
              actions: struct<normalization: null>
                            child 0, normalization: null
                child 8, target_policy_checkpoint: struct<checkpoint_recorded_success_rate: null, path: string, sha256: string>
                    child 0, checkpoint_recorded_success_rate: null
                    child 1, path: string
                    child 2, sha256: string
                child 9, target_policy_experiment_config: struct<path: string, sha256: string>
                    child 0, path: string
                    child 1, sha256: string
              schema_version: string
              timing_seconds: struct<rollout: double>
                child 0, rollout: double
              view_height: int64
              view_layout: string
              view_names: list<item: string>
                child 0, item: string
              view_width: int64
              files: struct<rollout.mp4: struct<sha256: string, size_bytes: int64>, trajectory.h5: struct<sha256: string, (... 80 chars omitted)
                child 0, rollout.mp4: struct<sha256: string, size_bytes: int64>
                    child 0, sha256: string
                    child 1, size_bytes: int64
                child 1, trajectory.h5: struct<sha256: string, size_bytes: int64>
                    child 0, sha256: string
                    child 1, size_bytes: int64
                child 2, trajectory.json: struct<sha256: string, size_bytes: int64>
                    child 0, sha256: string
                    child 1, size_bytes: int64
              requested_codec: string
              video: struct<codec: string, file_size_bytes: int64, fps: double, frame_count: int64, height: int64, width: (... 7 chars omitted)
                child 0, codec: string
                child 1, file_size_bytes: int64
                child 2, fps: double
                child 3, frame_count: int64
                child 4, height: int64
                child 5, width: int64
              complete: bool
              to
              {'complete': Value('bool'), 'files': {'rollout.mp4': {'sha256': Value('string'), 'size_bytes': Value('int64')}, 'trajectory.h5': {'sha256': Value('string'), 'size_bytes': Value('int64')}, 'trajectory.json': {'sha256': Value('string'), 'size_bytes': Value('int64')}}, 'requested_codec': Value('string'), 'schema_version': Value('string'), 'video': {'codec': Value('string'), 'file_size_bytes': Value('int64'), 'fps': Value('float64'), 'frame_count': Value('int64'), 'height': Value('int64'), 'width': Value('int64')}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Robomimic mhf dense datasets

Mixed-human/filtered (mhf) dense-reward Robomimic datasets used by infOPE / VGPS experiments.

Datasets

Path Successful / total trajectories
lift/mhf_densev1 202 / 300
lift/mhf_densev1_ntrajs=1020 775 / 1020
can/mhf_densev1 210 / 300
square/mhf_densev1 48 / 300
square/mhf2_densev1 207 / 300

Layout

lift/
  mhf_densev1/dataset.hdf5
  mhf_densev1_ntrajs=1020/dataset.hdf5
can/
  mhf_densev1/dataset.hdf5
square/
  mhf_densev1/dataset.hdf5
  mhf2_densev1/dataset.hdf5

Download

# full repo
hf download infope/robomimic --repo-type dataset --local-dir ./robomimic

# one variant
hf download infope/robomimic lift/mhf_densev1/dataset.hdf5 --repo-type dataset
Downloads last month
1,183