Datasets:

azithromycin
/

younghyopark_pick_tblock_mp_centered_debug6

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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Pick TBlock MP Centered Debug6 TsFile

This is an Apache TsFile conversion of younghyopark/pick_tblock_mp_centered_debug6, a LeRobot v2.1 Dual-Panda manipulation dataset for a centered T-block pick task.

Source and Attribution

Original dataset: younghyopark/pick_tblock_mp_centered_debug6
Pinned source revision: 2c92fbef1b82f00fa273368743423d40879e2a99
Original repository creator and uploader: Younghyo Park (younghyopark)
License: Apache-2.0
Robot type: DualPanda
Task metadata: pick something up
Split: train
Sampling rate: 50 fps
Scale: 10 episodes, 3,759 frame rows, 1 task, 10 source Parquet files
Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet

The source card provides no paper or completed citation. Cite the original Hugging Face dataset and Younghyo Park when using this conversion.

Converted Data

TsFile: data/younghyopark_pick_tblock_mp_centered_debug6_train.tsfile
Table: younghyopark_pick_tblock_mp_centered_debug6_train
Rows: 3,759
Episode/task devices: 10
FIELD columns: 299
Time precision: milliseconds
Source Parquet size: 5,479,679 bytes
TsFile size: 3,567,331 bytes
TsFile/source size ratio: 0.6510

The 10 train episode shards are merged into one table-model TsFile. Filter the episode_index and task_index TAG columns to select a device/episode.

Schema

Columns	TsFile role	Type	Source mapping
`Time`	TIME	INT64	`round(timestamp * 1000)` ms
`episode_index`, `task_index`	TAG/device	STRING	Preserved source indexes
`frame_index`, `sample_index`, `observation_environment_tblock_center_x`, `observation_environment_tblock_center_y`, `observation_environment_tblock_center_z`	FIELD	Source numeric type	Scalar fields
`observation_joint_0` ... `observation_joint_15`	FIELD	FLOAT	`observation.joint` row-major flattening (16 values)
`observation_state_0` ... `observation_state_29`	FIELD	FLOAT	`observation.state` row-major flattening (30 values)
`observation_environment_state_0` ... `observation_environment_state_6`	FIELD	FLOAT	`observation.environment_state` row-major flattening (7 values)
`observation_environment_block_xy_0` ... `observation_environment_block_xy_1`	FIELD	FLOAT	`observation.environment.block_xy` row-major flattening (2 values)
`observation_right_arm_joint_0` ... `observation_right_arm_joint_6`	FIELD	FLOAT	`observation.right_arm.joint` row-major flattening (7 values)
`observation_right_joint_0` ... `observation_right_joint_7`	FIELD	FLOAT	`observation.right.joint` row-major flattening (8 values)
`observation_left_arm_joint_0` ... `observation_left_arm_joint_6`	FIELD	FLOAT	`observation.left_arm.joint` row-major flattening (7 values)
`observation_qvel_0` ... `observation_qvel_29`	FIELD	FLOAT	`observation.qvel` row-major flattening (30 values)
`observation_env_qvel_0` ... `observation_env_qvel_5`	FIELD	FLOAT	`observation.env_qvel` row-major flattening (6 values)
`observation_ee_pose_0` ... `observation_ee_pose_15`	FIELD	FLOAT	`observation.ee_pose` row-major flattening (16 values)
`action_ctrl_0` ... `action_ctrl_15`	FIELD	FLOAT	`action.ctrl` row-major flattening (16 values)
`action_joint_0` ... `action_joint_15`	FIELD	FLOAT	`action.joint` row-major flattening (16 values)
`action_ee_pose_0` ... `action_ee_pose_15`	FIELD	FLOAT	`action.ee_pose` row-major flattening (16 values)
`action_right_arm_joint_0` ... `action_right_arm_joint_6`	FIELD	FLOAT	`action.right_arm.joint` row-major flattening (7 values)
`action_right_joint_0` ... `action_right_joint_7`	FIELD	FLOAT	`action.right.joint` row-major flattening (8 values)
`action_left_arm_joint_0` ... `action_left_arm_joint_6`	FIELD	FLOAT	`action.left_arm.joint` row-major flattening (7 values)
`action_right_arm_joint_relative_0` ... `action_right_arm_joint_relative_6`	FIELD	FLOAT	`action.right_arm.joint.relative` row-major flattening (7 values)
`action_left_arm_joint_relative_0` ... `action_left_arm_joint_relative_6`	FIELD	FLOAT	`action.left_arm.joint.relative` row-major flattening (7 values)
`action_joint_relative_0` ... `action_joint_relative_15`	FIELD	FLOAT	`action.joint.relative` row-major flattening (16 values)
`observation_environment_tblock_center_xy_0` ... `observation_environment_tblock_center_xy_1`	FIELD	FLOAT	`observation.environment.tblock.center.xy` row-major flattening (2 values)
`observation_environment_tblock_center_xyz_0` ... `observation_environment_tblock_center_xyz_2`	FIELD	FLOAT	`observation.environment.tblock.center.xyz` row-major flattening (3 values)
`observation_environment_tblock_center_quat_0` ... `observation_environment_tblock_center_quat_3`	FIELD	FLOAT	`observation.environment.tblock.center.quat` row-major flattening (4 values)
`observation_environment_tblock_center_euler_0` ... `observation_environment_tblock_center_euler_2`	FIELD	FLOAT	`observation.environment.tblock.center.euler` row-major flattening (3 values)
`observation_environment_tblock_center_posquat_0` ... `observation_environment_tblock_center_posquat_6`	FIELD	FLOAT	`observation.environment.tblock.center.posquat` row-major flattening (7 values)
`observation_environment_tblock_center_xaxis_0` ... `observation_environment_tblock_center_xaxis_2`	FIELD	FLOAT	`observation.environment.tblock.center.xaxis` row-major flattening (3 values)
`observation_environment_tblock_center_yaxis_0` ... `observation_environment_tblock_center_yaxis_2`	FIELD	FLOAT	`observation.environment.tblock.center.yaxis` row-major flattening (3 values)
`observation_environment_tblock_center_zaxis_0` ... `observation_environment_tblock_center_zaxis_2`	FIELD	FLOAT	`observation.environment.tblock.center.zaxis` row-major flattening (3 values)
`observation_environment_tblock_center_mat_0` ... `observation_environment_tblock_center_mat_8`	FIELD	FLOAT	`observation.environment.tblock.center.mat` row-major flattening (9 values)
`observation_environment_tblock_center_full_mat_0` ... `observation_environment_tblock_center_full_mat_15`	FIELD	FLOAT	`observation.environment.tblock.center.full_mat` row-major flattening (16 values)
`observation_environment_tblock_center_reduced_mat_0` ... `observation_environment_tblock_center_reduced_mat_11`	FIELD	FLOAT	`observation.environment.tblock.center.reduced_mat` row-major flattening (12 values)

Conversion Details

Time = round(timestamp * 1000) in milliseconds. Time starts at zero in each episode.
Source timestamp is dropped because it is exactly represented by Time / 1000 seconds.
Source index is renamed to sample_index; frame_index is preserved.
Vector and matrix columns are flattened in row-major order, preserving their source prefix with . replaced by _.
No numeric rows or numeric dimensions are intentionally dropped.
No source Parquet files are copied under meta/; meta/ contains only source JSON/JSONL metadata updated for TsFile.

Encoding and Compression

FLOAT/DOUBLE FIELD values: GORILLA + LZ4
INT32/INT64 FIELD values: TS_2DIFF + LZ4
BOOLEAN FIELD values: RLE + LZ4
Time: TS_2DIFF + LZ4
TAG values: TsFile table device/TAG storage (STRING, PLAIN + LZ4 physically)

These are verified from the generated TsFile schema and Time chunk metadata, not inferred from configuration text.

Videos

There are no source videos to include or link. The pinned Hugging Face file tree contains no video files or videos/ directory, and source meta/info.json declares total_videos: 0 and video_path: null. Accordingly, this converted dataset contains no video copies and no fabricated video path. Numeric rows are self-contained and retain episode_index plus frame_index.

Validation

The Apache TsFile Java 2.2.1 reader successfully read all 3,759 rows back. Staged/source/TsFile row counts match, Time is monotonic within all 10 episode devices, TAG columns are queryable, and every physical codec matches the policy above. The local JSON and Markdown validation reports are not part of this upload-ready dataset folder.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/younghyopark_pick_tblock_mp_centered_debug6_train.tsfile")
table_name = "younghyopark_pick_tblock_mp_centered_debug6_train"
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "action_ctrl_0",
    "observation_environment_tblock_center_x",
]

with reader.query_table(table_name, columns, batch_size=65536) as result:
    print(result.read_arrow_batch().to_pandas().head())
reader.close()

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Total file size:

3.93 MB