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azithromycin
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1g0rrr_cables_v6

Tasks:

Robotics

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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.

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.

cables_v6 TsFile

This repository is a TsFile conversion of 1g0rrr/cables_v6, a LeRobot dataset published by Igor (1g0rrr). The task is Insert cable into the connector using an eyou_ft7_follower robot. The original dataset is licensed under Apache-2.0. No paper or complete BibTeX citation was provided by the original dataset card.

Dataset summary

Split: train
Source episode files / series: 46
Rows / frames: 20,063
Tasks: 1
Sampling frequency: 30 fps
Source Parquet shards: 46 files under data/chunk-000/
Converted output: one merged table-model TsFile, data/cables_v6.tsfile
Table: cables_v6
TsFile/source-Parquet size ratio: 0.5426

Schema

episode_index and task_index are native TsFile TAG columns. All other measurements are FIELD columns, except Time, which is the table time column.

Column	TsFile type	Role
`time`	`TIMESTAMP`	`TIME`
`episode_index`	`STRING`	`TAG`
`task_index`	`STRING`	`TAG`
`frame_index`	`INT64`	`FIELD`
`sample_index`	`INT64`	`FIELD`
`action_0`	`FLOAT`	`FIELD`
`action_1`	`FLOAT`	`FIELD`
`action_2`	`FLOAT`	`FIELD`
`action_3`	`FLOAT`	`FIELD`
`action_4`	`FLOAT`	`FIELD`
`action_5`	`FLOAT`	`FIELD`
`action_6`	`FLOAT`	`FIELD`
`observation_state_0`	`FLOAT`	`FIELD`
`observation_state_1`	`FLOAT`	`FIELD`
`observation_state_2`	`FLOAT`	`FIELD`
`observation_state_3`	`FLOAT`	`FIELD`
`observation_state_4`	`FLOAT`	`FIELD`
`observation_state_5`	`FLOAT`	`FIELD`
`observation_state_6`	`FLOAT`	`FIELD`

action and observation.state are flattened from 7-element float32 vectors to action_0..action_6 and observation_state_0..observation_state_6. The element order is shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_side.pos, wrist_roll.pos, and gripper.pos. The source index column is renamed to sample_index; frame_index is kept.

Time and storage

Time = round(timestamp * 1000) in milliseconds and restarts at 0 within each episode. The redundant source timestamp column is dropped because it equals Time / 1000 seconds. No numeric rows, state dimensions, action dimensions, or task values are dropped.

FLOAT/DOUBLE: GORILLA + LZ4
INT32/INT64: TS_2DIFF + LZ4
Time: TS_2DIFF + LZ4
BOOLEAN: RLE + LZ4 (the source has no BOOLEAN fields)
TAG values: native TsFile table device/tag storage

The physical encodings and compression were read back from the generated file with the Apache TsFile Java reader, not inferred only from the YAML config.

Videos and episode alignment

Original AV1 videos are stored at https://huggingface.co/datasets/1g0rrr/cables_v6/tree/main/videos/chunk-000 in three camera directories: observation.images.laptop, observation.images.phone, and observation.images.side. Videos are not included in this TsFile dataset.

The source repository deleted original episodes 17, 18, 20, and 41, then renamed Parquet and video filenames to 0..45 without rewriting the internal Parquet episode_index. This conversion preserves the source column as the TsFile TAG. To align a TsFile row with the renamed video file, keep frame_index unchanged and map TAG episode_index as follows:

Source TAG `episode_index`	Video filename episode index
0..16	unchanged
19	17
21..40	source value minus 3
42..49	source value minus 4

The complete 46-entry mapping is also stored in meta/info.json under tsfile_conversion.video_episode_alignment.

Read example

from tsfile import TsFileReader

path = "data/cables_v6.tsfile"
reader = TsFileReader(path)
print(reader.get_all_table_schemas()["cables_v6"])

columns = ["episode_index", "task_index", "frame_index", "action_0"]
with reader.query_table("cables_v6", columns, batch_size=4096) as result:
    batch = result.read_arrow_batch()
    print(batch.slice(0, 5).to_pandas())

Attribution

Original dataset: 1g0rrr/cables_v6
Publisher/author: Igor (1g0rrr)
License: Apache-2.0
Original task: Insert cable into the connector
Citation: the original card states [More Information Needed]

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