Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
raise e
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: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
OpenPI Comet — BEHAVIOR-1K 2026 self-evaluation
Method
Dual OpenPI π0.5 Comet checkpoints from https://huggingface.co/sunshk/openpi_comet:
pi05-b1kpt12-cs32on specialist tasks 0,1,6,17,18,22,30,32,34,35,40,45pi05-b1kpt50-cs32on all other B100 tasks Serve:scripts/serve_b1k.pywithreceeding_horizon,max_len=32,action_horizon=32,fine_grained_level=0. Eval:python -m omnigibson.eval.eval --mode public_test --instance-indices 0..9 --write-videoWrapper: CometRGBWrapper(full-res RGB matching data collection). Robot: bundledr1pro.yaml.
Repro command
See scripts/run_comet_eval.sh in the evaluation host repo (B1K_AIRI).
Docker policy server
Image: cr.hf.co/alstar8/behavior-1k-comet-policy:2026-b100
docker run --gpus all -p 8000:8000 --rm \
-e TASK_NAME=turning_on_radio \
cr.hf.co/alstar8/behavior-1k-comet-policy:2026-b100
The container serves an OmniGibson-compatible websocket policy on port 8000 (/healthz then ws://0.0.0.0:8000). It loads one checkpoint at a time (24GB GPU) and switches pi05-b1kpt12-cs32 vs pi05-b1kpt50-cs32 from task_id in the observation. First start downloads both public checkpoints from https://huggingface.co/sunshk/openpi_comet unless they are already present under /ckpts.
Evaluator (outside the container):
python -m omnigibson.eval.eval \
--task-name $TASK_NAME \
--host 127.0.0.1 --port 8000 \
--mode public_test --instance-indices 0 1 2 3 4 5 6 7 8 9 \
--num-rollouts 1 \
--env-wrapper wrappers.rgb_wrapper.RGBWrapper \
--headless --write-video --output-dir $LOG_PATH
Partial submission note
This package contains the 8 tasks that previously produced full successes. Missing B100 rollouts should be treated as zero per challenge rules.
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