The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: 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/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2424, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
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 68, 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.
nyu center for robotics & embodied intelligence
lab for autonomous and intelligent robotics
project: embodied at sea (behavioral cloning for marine archaeology & conservation)
robot: blue robotics's "bluerov2"
contributors: Dr. Chris Clark (PI), Greta Perez-Haiek (Lead), Luca Macesanu, Kevin Angers, Timothy Gambin (Advisor)
environment: rectangular swimming pool at NYU CREO, filled with chlorinated water at about a little over a foot's depth of water.
factors: neutral background (shades of blue hexagons with white rimming), neutral lighting (well-lit and constant), disturbances & distractors (variable)
Snapshot date: August 18, 2026
This folder contains 8 LeRobot-format (codebase_version v3.0) datasets recorded
on a BlueROV2 performing rod-grabbing tasks in a pool, with and without
simulated currents. Each dataset is packaged as a .zip containing the
standard LeRobot layout (data/, meta/, videos/).
Counts below are taken from each dataset's meta/info.json.
- Episodes =
total_episodes(number of recorded episode/trajectory runs) - Frames =
total_frames(total timesteps across all episodes, fps = 50.0) - Trajectories =
total_successes(episodes that ended in a successful grab)
| Dataset | Episodes | Frames | Trajectories (successes) |
|---|---|---|---|
| grab green rod | 101 | 26,774 | 101 |
| grab green rod under currents | 110 | 37,982 | 101 |
| grab red rod | 101 | 23,550 | 101 |
| grab red rod under currents | 102 | 30,171 | 101 |
| grab white rod | 102 | 26,853 | 100 |
| grab white rod under currents | 101 | 27,934 | 101 |
| grab yellow rod | 101 | 22,628 | 101 |
| grab yellow rod under currents | 102 | 28,220 | 101 |
Notes
- "Episodes" counts every recorded run, including any that did not end in a
successful grasp; "Trajectories" (
total_successes) counts only the successful ones. In most of these datasets nearly all episodes succeeded (only "grab white rod" has 2 non-successful episodes: 102 episodes vs 100 successes). - Frame count varies with episode length/duration, not just episode count — e.g. "grab green rod under currents" has the most episodes (110) and by far the most frames (37,982), consistent with currents making the task take longer per episode.
robot_type: bluerov2, single task per dataset (total_tasks= 1).
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