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guthsplan
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b1k2026-v1.0

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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 4523, 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 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(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 0

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BEHAVIOR 2026 submission: b1k2026-v1.0

Policy

  • v1.0 test submission (pipeline check).
  • Served over WebSocket at 127.0.0.1:8000, one server process per task; the evaluator connects as a client.

Evaluation

  • BEHAVIOR-1K commit: b1979916ec1549b10a4e65e630bc6504a9af1b00
  • Split: public_test, instance indices 0 1 (instance ids [301, 302]), 1 rollout each
  • Timeout: evaluator default (1.5x mean human demo length)
  • Robot config: config/r1pro.yaml (from OmniGibson/omnigibson/eval/r1pro.yaml)
  • Wrapper: config/rgbd_full_res_wrapper.py (omnigibson.eval.wrappers.RGBDFullResWrapper, from OmniGibson/omnigibson/eval/wrappers/rgbd_full_res_wrapper.py); exposes RGB, depth, proprioception

Evaluator command:

cd $B1K_ROOT && python -m omnigibson.eval.eval \
    --task-name <TASK> --host 127.0.0.1 --port 8000 \
    --instance-indices 0 1 --num-rollouts 1 \
    --env-wrapper omnigibson.eval.wrappers.RGBDFullResWrapper \
    --output-dir <OUT> --write-video --headless
# run once per task: attach_a_camera_to_a_tripod cook_bacon make_microwave_popcorn picking_up_trash turning_on_radio
# --mode defaults to public_test; no --max-steps (default 1.5x mean human demo length);
# no --robot-config (evaluator default OmniGibson/omnigibson/eval/r1pro.yaml)

Results

  • Rollouts: 10 / 1000; missing rollouts count as 0
  • Successes: 1
  • Sum of q_score over submitted rollouts: 1.0000
  • Per-task breakdown: coverage.tsv

json/ and videos/ are unmodified evaluator outputs; checksums in SHA256SUMS.
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