The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label FysicsReason@8b520a2071ff8637035f660002c2e96ad98a8e94
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 FysicsReason@8b520a2071ff8637035f660002c2e96ad98a8e94Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FysicsReason: Benchmarking Verifiable World-State Reasoning Across Omni-Modalities
Dataset Overview
FysicsReason is a five-task omni-modal benchmark designed to evaluate physical reasoning across images, audio, video, and text. The benchmark contains five complementary tasks that cover visual understanding, audio-visual grounding, temporal reasoning, physical property comparison, and quantitative physical inference. Each task is provided as a separate Parquet file under task{1..5}/, together with its associated media files.
Task Composition
| Task | Samples | Input | Prediction Target |
|---|---|---|---|
| task1 | 562 | Image and text question | Target quantity and final answer |
| task2 | 779 | Image, scene audio, and text question | Object bounding box and answer option |
| task3 | 250 | Video and multiple-choice text question | Evidence interval and answer option |
| task4 | 350 | Two object images, object audio, and text question | Property, materials, and selected object |
| task5 | 387 | Video and text question | Physical property and numerical answer |
Data Organization
Media paths stored in the Parquet files are relative to the dataset root. For example:
data/task2/media/...
When loading the dataset locally, these paths should therefore be resolved relative to the directory containing the data/ folder. Each task directory contains its corresponding annotation file and linked media resources, allowing the benchmark to be used directly for task-specific or unified omni-modal evaluation.
Sample Identification
The index field serves as the stable, zero-based row identifier within each task. For evaluation and result submission, a sample can be uniquely identified using the combination of:
task_sourceindexThis convention provides a consistent mapping between dataset samples and inference outputs.
Evaluation
Inference results produced on FysicsReason can be evaluated using the official workflow provided in the FysicsReason repository. FysicsReason Evaluation Repository
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