The dataset viewer is not available for this split.
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: Trailing data
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
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.
HRC human disturbance scenes
Ten recorded simulation scenarios derived from original RoboCasa365 demonstrations: one visual navigation augmentation and nine physical intervention examples with scripted recovery. This is a review artifact release, not a complete standalone simulator scene distribution or a learned-policy benchmark.
Contents
Download and extract hrc-human-disturbance-scenes.zip. Each scenarios/<id>/ directory contains original and disturbed review videos, a generation configuration, a report and source provenance, human motion, and a physics rollout where available. manifest.json indexes all ten scenarios. SHA256SUMS.json provides file checksums.
Native scene models, upstream asset libraries, source demonstration datasets, and simulator dependencies are not bundled. Source hashes and task/episode identifiers are retained for matching the required upstream inputs. Machine-specific paths in JSON have been made relative; configuration paths may require adaptation.
Interpretation
Navigation replays recorded robot/object states with a moving visual disturbance. Nine intervention scenarios use force proxies and scripted robot feedback with privileged simulator state. The faucet recovery fails in the recorded example and is retained. Recovery success is separate from complete native task success; null results mean unreported or unevaluated, not success. These single-episode examples do not establish aggregate robustness. Nested source-provenance fields describe the original replay; top-level reports describe the intervention run.
Scenarios
| Scenario | Base task | Recovery success |
|---|---|---|
| navigate_aisle_crossing | NavigateKitchen | N/A |
| open_cabinet_person_nearby | OpenCabinet | N/A |
| coffee_setup_mug_person_nearby | CoffeeSetupMug | True |
| open_drawer_human_closes | OpenDrawer | True |
| close_fridge_human_reopens | CloseFridge | True |
| close_toaster_oven_human_reopens | CloseToasterOvenDoor | True |
| open_mixer_human_lowers | OpenStandMixerHead | True |
| dishwasher_rack_human_pushes | SlideDishwasherRack | True |
| stove_human_turns_on | TurnOffStove | True |
| faucet_human_turns_off | TurnOnSinkFaucet | False |
Provenance and use
Derived from RoboCasa365 demonstrations with simulated human disturbances. Upstream datasets, models, assets, and motions retain their respective terms. This release does not assign a new blanket license to third-party materials.
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