Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
run_id: string
benchmark: string
set: string
payload_sha256: string
image_sha256: list<item: string>
child 0, item: string
started_utc: string
engine: string
status: string
response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 175 chars omitted)
child 0, model: string
child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 107 chars omitted)
child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 91 chars omitted)
child 0, type: string
child 1, choice: string
child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double, G: double, H: double, I: do (... 38 chars omitted)
child 0, A: double
child 1, B: double
child 2, C: double
child 3, D: double
child 4, E: double
child 5, F: double
child 6, G: double
child 7, H: double
child 8, I: double
child 9, J: double
child 10, K: double
child 11, L: double
child 2, usage: struct<input_tokens: int64>
child 0, input_tokens: int64
completed_utc: string
total_wall_ms: double
model_request_wall_ms: double
rows_path: string
loaded_seconds: double
model_source: struct<kind: string, base_url: string, path: string, protocol: string, model: string, image_encoding (... 77 chars omitted)
child 0, kind: string
child 1, base_url: string
child 2, path: string
child 3, protocol: string
child 4, model: string
child 5, image_encoding: string
child 6, max_pixels: int64
child 7, image_resize: string
child 8, request_options: struct<>
latency: string
effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: null, rows_with_image_tokens: int64>
child 0, max_image_pixels: int64
child 1, max_image_tokens: null
child 2, rows_with_image_tokens: int64
engine_options: struct<model: string, base_url: string, protocol: string, path: string>
child 0, model: string
child 1, base_url: string
child 2, protocol: string
child 3, path: string
rows_sha256: string
to
{'engine': Value('string'), 'engine_options': {'model': Value('string'), 'base_url': Value('string'), 'protocol': Value('string'), 'path': Value('string')}, 'model_source': {'kind': Value('string'), 'base_url': Value('string'), 'path': Value('string'), 'protocol': Value('string'), 'model': Value('string'), 'image_encoding': Value('string'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'request_options': {}}, 'loaded_seconds': Value('float64'), 'rows_path': Value('string'), 'rows_sha256': Value('string'), 'latency': Value('string'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('null'), 'rows_with_image_tokens': Value('int64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 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 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
run_id: string
benchmark: string
set: string
payload_sha256: string
image_sha256: list<item: string>
child 0, item: string
started_utc: string
engine: string
status: string
response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 175 chars omitted)
child 0, model: string
child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 107 chars omitted)
child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 91 chars omitted)
child 0, type: string
child 1, choice: string
child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double, G: double, H: double, I: do (... 38 chars omitted)
child 0, A: double
child 1, B: double
child 2, C: double
child 3, D: double
child 4, E: double
child 5, F: double
child 6, G: double
child 7, H: double
child 8, I: double
child 9, J: double
child 10, K: double
child 11, L: double
child 2, usage: struct<input_tokens: int64>
child 0, input_tokens: int64
completed_utc: string
total_wall_ms: double
model_request_wall_ms: double
rows_path: string
loaded_seconds: double
model_source: struct<kind: string, base_url: string, path: string, protocol: string, model: string, image_encoding (... 77 chars omitted)
child 0, kind: string
child 1, base_url: string
child 2, path: string
child 3, protocol: string
child 4, model: string
child 5, image_encoding: string
child 6, max_pixels: int64
child 7, image_resize: string
child 8, request_options: struct<>
latency: string
effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: null, rows_with_image_tokens: int64>
child 0, max_image_pixels: int64
child 1, max_image_tokens: null
child 2, rows_with_image_tokens: int64
engine_options: struct<model: string, base_url: string, protocol: string, path: string>
child 0, model: string
child 1, base_url: string
child 2, protocol: string
child 3, path: string
rows_sha256: string
to
{'engine': Value('string'), 'engine_options': {'model': Value('string'), 'base_url': Value('string'), 'protocol': Value('string'), 'path': Value('string')}, 'model_source': {'kind': Value('string'), 'base_url': Value('string'), 'path': Value('string'), 'protocol': Value('string'), 'model': Value('string'), 'image_encoding': Value('string'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'request_options': {}}, 'loaded_seconds': Value('float64'), 'rows_path': Value('string'), 'rows_sha256': Value('string'), 'latency': Value('string'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('null'), 'rows_with_image_tokens': Value('int64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
DecisionNode Edge: Decision Index vision results
Public vision runs of DecisionNode Edge and DecisionNode Edge Mini on the Decision Index 0.3 public vision suite (12,210 rows, all complete).
| Model | Public vision index | Run |
|---|---|---|
| DecisionNode Edge | 59.13 | runs/decisionnode-edge-vision |
| DecisionNode Edge Mini | 49.10 | runs/decisionnode-edge-mini-vision |
Each run folder holds the results file in the compact form (no suite text: payload and raw_output are left out), the score file vision-scores.json, environment.json and status.json. The results rescore to the numbers above with the Decision Index kit (decision-index vision score).
Hardware: one NVIDIA RTX PRO 6000 Blackwell, one server process, the model's own /v1/systemone server with the kit's decide engine at the 1.6 MP image cap.
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