The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: The document is empty.
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 1391, in _parse
self.obj = DataFrame(
~~~~~~~~~^
ujson_loads(json, precise_float=self.precise_float), dtype=None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/core/frame.py", line 782, in __init__
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 680, in _extract_index
raise ValueError(
"Mixing dicts with non-Series may lead to ambiguous ordering."
)
ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
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 249, 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 4379, 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 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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: The document is empty.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RadeonVLA-Reflex evaluation videos
This repository is the public video-and-evidence companion for RadeonVLA-Reflex, a Track 3 Physical AI submission by VisioBot Lab. It keeps videos beside the machine-readable results and hashes used to describe them.
Linked releases
- Physical-1K:
a3124371940/radeonvla_reflex_physical_1k, revisionb0f72c60e9100739fd82bd498c8f3d9bed7b75af - Physical-2K:
a3124371940/radeonvla_reflex_physical_2k, revision2779b7c5566df9072bb9a7c43335d6203ea97887 - Primary 20K model:
a3124371940/radeonvla_reflex_smolvla_1k, revisionabcca9f2b313e378b554449016b520b8117016fe - 50K model:
a3124371940/radeonvla_reflex_smolvla_1k_50k, revision59f6f0ad720054505667a652fe07e03d65e82915 - 200K model:
a3124371940/radeonvla_reflex_smolvla_2k_200k, revision1ea32da3d59ce0905d0f1331bc3c6643e42beb7e
What is included
| Path | Scope |
|---|---|
videos/policy_success_20k/ |
Release-verified 20K first-attempt successes for banana and lemon |
videos/policy_success_20k_world/ |
Single-panel derivatives of both verified 20K policy successes |
videos/data_collection/ |
Successful strict-physics Physical-2K collection episodes for apple, banana, and plum |
videos/task_success_world/ |
One certified Physical-2K success for each of the 20 fruit-and-destination tasks |
videos/walkthrough/radeonvla_reflex_3min.mp4 |
200-second English walkthrough with bilingual captions and successful footage only |
evidence/policy_success_20k/banana/ |
Standard one-episode JSON, CSV, and summary for scene/episode seed 53001 |
evidence/policy_success_20k/lemon/ |
Replay-probe JSON with scene seed 54000 and episode seed 54006 recorded separately |
evidence/formal100/ |
Formal 100-rollout JSON and CSV evidence |
evidence/world_success_examples.json |
Task, episode, seed, source timestamps, checksums, and certificate provenance for all 20 examples |
SHA256SUMS |
Content hashes for every uploaded payload file |
Formal result boundary
The released 100-rollout benchmark contains 20 tasks × 5 disjoint seeds:
- Learned-policy first-attempt success: 36/100
- Explicit strict-physics Precision-Reflex contribution: +55/100
- Final system success: 91/100
- P50 / P95 policy inference latency: 4.54 / 37.27 ms
The representative clips are a replay library, not the benchmark denominator. Aggregate results remain tied to evidence/formal100/evaluation.json and its CSV companion. The twenty clips under task_success_world/ are certified Physical-2K collection trajectories; they provide one successful visual example for every task but are not presented as policy-evaluation rollouts.
Video acceptance boundary
Every policy video in this repository passes a release-specific gate: the target fruit is inside the requested bowl, both the commanded and measured gripper positions are open, and the result remains valid after two additional seconds of physical simulation. The banana replay is a standard fixed-seed evaluation. The lemon replay records its fixed scene seed (54000) and episode seed (54006) separately because the scene was initialized once for that evaluation batch. Collection clips likewise show the full release and settled ending. The 20-task manifest binds each clip to its strict-physics certificate, zero kinematic interventions, exact source interval, and SHA256. Object pose teleportation, grasp glue, and post-hoc placement correction remain forbidden.
Language
Commands use the exact collected-language instruction source. The long walkthrough uses English narration and bilingual English/Chinese captions.
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