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/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
ICIL competition pools
Evaluation pools for the RoboTensor one-demonstration in-context imitation learning
competition. A pool is the content-addressed set of tasks,
initial states and demonstrations every duel draws its units from. Its id is a hash of the whole
manifest and is pinned in the validator's spec.json, which refuses to run on a pool that does
not match — so a duel's published pool_id says exactly which data it ran on.
pools/2026.09-v2
pool_id ae9645cdbc2ed24cdbea436d6677925070f0a4221c604a09e18c96dbd0dad83a — 98 tasks, 730
demonstrations, one directory per artefact kind.
| Skill | Tasks | Variants | Eligible per perturbation |
|---|---|---|---|
pick_and_place |
27 LIBERO base + 21 LIBERO-Gen object-swap | level 135, pro_swap 27, pro_pose 27, table 50, lighting 27 | spatial 188, environment 77, object 21 |
draw_anything |
50 human drawings (DrawAnything-Sim eval_handmade) |
— | rotation 50 |
Pick-and-place scope follows the Behavior Prompting paper's definition — one grasp stage then one place stage — so drawer, stove, push and chained tasks are excluded.
pool.json the manifest: tasks, variants, per-skill eligibility, pool_id
bddl/<group>/… LIBERO BDDL files (originals, LIBERO-PRO swaps, table-swapped rewrites)
init/<group>/… LIBERO initial states as npz
demos/<task>/… demonstrations as npz — LIBERO cameras, proprioception and actions, or the
drawing board's frames, pen state, actions and the strokes drawn
Drawing tasks carry no initial-state file: a unit's board angle and pen start are derived from the task id and instance index, so they are reproducible from the published record alone.
Using it
icilval pools pull --dest ./pools --version 2026.09-v2
icilval pools verify ./pools/2026.09-v2
Provenance
Built from yifengzhu-hf/LIBERO-datasets,
zhouxueyang/LIBERO-Pro,
austinpatel/libero_gen_goal_chain_hdf5,
austinpatel/libero_gen_spatial_combination_hdf5
and austinpatel/drawanything_sim.
Organizer-generated tasks — held-out object pairings and procedural drawings — are never published
as training data.
MIT, following Behavior Prompting Policy and LIBERO; LIBERO-PRO data is CC-BY-4.0.
- Downloads last month
- 29