The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label vsibench
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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2386, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2303, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2178, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1483, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1158, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label vsibenchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
AnchorSR paper evaluation bundle
Portable, inference-ready copies of the authorized evaluation assets used by AnchorSR. It contains only selected paper benchmarks, not training data.
| Directory | Rows | Contents |
|---|---|---|
qspatial/ |
271 | Q-Spatial-Bench prompts, ground truth and images |
spatialrgpt/ |
642 | SpatialRGPT quantitative prompts, metadata and rendered SoM images |
vsibench/ |
2,075 selected at runtime | VSI-Bench source metadata and three video archives |
Bundle size: 5.93 GiB. Integrity hashes and exact file sizes are recorded
in manifest.json. Evaluation code and benchmark-specific metric definitions
live in the AnchorSR repository under evaluation/.
The component benchmarks retain their original attribution and terms. This bundle is distributed under the permissions obtained for the project; it does not relicense upstream benchmark content.
Protocol notes: Read each task's provenance.json for verified original data
sources and preparation details. The evaluation runner requires verified
official assets; legacy video-recovered Q-Spatial frames are not accepted.
SpatialRGPT contains five measurement categories, author-code SoM rendering
with fixed parameters, and a deterministic final-answer parser (not GPT judge).
VSI contains three measurement tasks. These subsets must not be reported as
full SpatialRGPT or full VSI overall.
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