Datasets:

jzpeng
/

sort_trash_real_2

Tasks:

Robotics

Modalities:

Tags:

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Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Sort Trash Real 2 (TsFile)

Converted from theconstruct-ai/sort_trash_real_2 at pinned revision ff96af085cd159ddb4d9e00bd83cb857bfe1fdd7. Modalities: Time-series.

Dataset description

This LeRobot v2.1 trajectory dataset records the source task sort the trash. Its numeric schema contains whole-body state/action signals plus motion-token, SMPL, planner, hand/wrist, and VR teleoperation features.

The pinned task table contains one instruction: “sort the trash”. The pinned metadata does not declare a robot type.

Source repository owner/publisher: theconstruct-ai
License: not declared by the pinned source; no license is asserted here.
Paper/homepage/citation: no completed paper, homepage, or citation is documented in the pinned source card unless linked above.

Source metadata note: The pinned source revision has no README.md; source facts come from its meta/info.json, task metadata, data Parquets, and config. No source license, paper, homepage, citation, or author list was declared.

Dataset Scale

Split	Episodes	Tasks	Source trajectory Parquets	TsFile rows	Sampling rate	TsFile files/shards
`train`	27	1	27	47,528	50 Hz	1

The staged Parquet has 47,528 rows and 388 columns including Time; TsFile chunk metadata independently reports the same 47,528 rows.

TsFile schema

Column	Role	TsFile type	Observed/source range
`Time`	TIME	INT64	0–46,220 ms; restarts per episode
`episode_index`	TAG	STRING	source integer 0–26
`task_index`	TAG	STRING	source integer 0–0
`frame_index`	FIELD	INT64	0–2,311 within an episode
`sample_index`	FIELD	INT64	0–47,527 globally

Exact remaining FIELD names/ranges and imported types:

teleop_delta_heading (DOUBLE), teleop_smpl_frame_index (INT64), teleop_stream_mode, teleop_planner_mode (INT64), teleop_planner_speed, teleop_planner_height (FLOAT)
observation_state_0–_42, action_wbc_0–_42, observation_eef_state_0–_13 (FLOAT)
observation_root_orientation_0–_3, observation_projected_gravity_0–_2, observation_cpp_rotation_offset_0–_3, observation_init_base_quat_0–_3 (FLOAT)
action_motion_token_0–_63 (FLOAT)
teleop_smpl_joints_0–_71, teleop_smpl_pose_0–_62 (FLOAT)
teleop_body_quat_w_0–_3, teleop_target_body_orientation_0–_5 (FLOAT)
teleop_left_hand_joints_0–_6, teleop_right_hand_joints_0–_6, teleop_left_wrist_joints_0–_2, teleop_right_wrist_joints_0–_2 (FLOAT)
teleop_planner_movement_0–_2, teleop_planner_facing_0–_2 (FLOAT)
teleop_vr_3pt_position_0–_8, teleop_vr_3pt_orientation_0–_17 (FLOAT)

Conversion

All source episodes in the train split are merged into data/sort_trash_real_2_train.tsfile; episode_index and task_index are TAG dimensions.
Time = round(timestamp * 1000) in milliseconds. The source timestamp column is omitted because it is redundant with Time / 1000 seconds.
frame_index is retained. Source index is retained as sample_index.
Every vector is fully flattened: the complete source name is kept, . becomes _, and element indices are appended. Float vectors are imported as single-precision FLOAT fields.
Other scalar source columns shown above are retained; no trajectory rows are intentionally dropped.
Source metadata is mirrored for publication, with copied meta/info.json rewritten to describe the converted data path and conversion semantics.

Video policy

The pinned metadata declares 27 source videos for observation.images.ego_view. MP4 files were not downloaded or uploaded; they remain in the pinned source videos/ tree.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/sort_trash_real_2_train.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()

Source and provenance

Source dataset: theconstruct-ai/sort_trash_real_2
Pinned source revision: ff96af085cd159ddb4d9e00bd83cb857bfe1fdd7
Converted artifact: data/sort_trash_real_2_train.tsfile

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Total file size:

34.4 MB