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 control profiling v0.1
This archive preserves one bounded allocation-only optimization experiment, its original fail-closed report, and a separate complete readback of the same evidence. It contains synthetic simulator traces and development tools, not model weights.
Two matched AB/BA pairs observed 15.7% lower pooled mean environment-step wall compute and 12.6% lower process CPU. These are shared-host observations on one preserved command tape, with no policy inference in the timed steps. They do not establish general speedup, real-time operation or physical robot performance. The historical learned held-out result remains 5/12. No new wheel or production promotion is part of this evidence release.
All 14 scheduled attempts are retained: four timing attempts plus five dense conditions for both source variants. The original comparison.json remains false because three dense JSON pairs exceeded its 64 MiB reader bound. The supplemental readback-audit.json uses a 512 MiB bound and confirms exact numeric state, contacts, cadence and scorer equivalence across 200,010 saved snapshots, without rerunning physics or timing. The fixed pulse also succeeds; this is not recovery validation.
Archive layout is content-addressed: manifest.json maps every logical path to its exact byte count and SHA256 blob. Identical payloads share one blob. Original raw.pstats files are excluded because they contain local paths; portable stripped stats and complete JSON profiling tables remain. Any excluded logs are listed.
Copy the top-level verify_extract.py from this archive after checking the release archive checksum. It uses only Python's standard library:
python verify_extract.py piper-control-profile-v01-evidence.zip
python verify_extract.py piper-control-profile-v01-evidence.zip --output evidence
The helper rejects traversal, symlinks, duplicate members, unknown blobs, oversized content and digest mismatches. It never imports archive code or reads pickle. Reconstruction restores the original logical paths and bytes. Raw native NPZ arrays and canonical gzip contact/scorer traces remain unchanged.
Source branch: feat/piper-control-profile-v01. Frozen source snapshots, profiling and comparison harnesses, tests, the independent readback verifier and upstream notices are included. The project's existing MIT LICENSE is retained. Robot asset meshes, simulator binaries, credentials and learned model weights are omitted.
DVIDIA research: https://research.dvidia.org | hello@dvidia.org
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