The dataset viewer is not available for this split.
Error code: StreamingRowsError
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 342, 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/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 345, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, 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 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.
DVIDIA | PiPER incremental hold v0.3
A bounded native CPU study compares measured-joint, issued-joint, Cartesian and incremental hold strategies on eight fresh synthetic scenes (32 attempts). The primary outcome requires native grip AND TCP stationarity for five seconds after admission. Active controller qualification is reported separately. Every scheduled attempt and failure is retained. See report.json and the protocol for the frozen results and definitions.
This is not a learned policy, full transport or placement task, physical-sensor validation, hardware qualification or real-object reliability estimate. The simulator uses authored privileged state.
The ZIP preserves the complete new run tree under study/ and its independent audit under audit/. It includes deterministic inventory hashes and tools/verify_archive.py. To verify and optionally reconstruct without importing project code, extract the archive and run:
python tools/verify_archive.py piper-incremental-hold-v03.zip --output evidence
Research article: https://research.dvidia.org/papers/piper-incremental-hold-v03/ Source release: https://github.com/Dvidia-Inference/dvidia-training/releases/tag/piper-incremental-hold-v0.3-preview Evidence dataset: https://huggingface.co/datasets/Dvidia/piper-incremental-hold-v03
DVIDIA source and authored synthetic records are MIT. Upstream simulator and robot asset notices are included. No physical robot footage, credentials or hardware data are bundled.
Frozen results
| Hold | Admissions | False initial | Native 5 s grip | Grip + TCP stationarity | Active stationary hold | Final controller + native |
|---|---|---|---|---|---|---|
| measured_joint | 4/8 | 0 | 0/8 | 0/8 | 0/8 | 0/8 |
| issued_joint | 4/8 | 0 | 4/8 | 0/8 | 0/8 | 4/8 |
| cartesian | 4/8 | 0 | 4/8 | 0/8 | 0/8 | 0/8 |
| incremental | 4/8 | 0 | 1/8 | 1/8 | 0/8 | 0/8 |
Fresh finite development cells, not a population accuracy estimate. Every scheduled attempt is retained, with no native reruns or post-result tuning. No controller is automatically promoted.
Archive SHA-256: 5129187d14f8d4ad691a69e3554cff2b5ba65489a19c1583609c767b36f42c44
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