The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, 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 4523, 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 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from 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 251, in _generate_tables
batch = "\n".join(ujson_dumps(x) for x in ujson_loads(full_data)).encode()
~~~~~~~~~~~^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
STEM Parametric Evaluation Suite
An interactive evaluation suite and dataset designed for benchmarking and testing AI capabilities in advanced STEM subjects, specifically focusing on Calculus and Mechanics.
Dataset Description
This dataset provides a robust framework for parametric evaluation, allowing developers and researchers to test models against dynamic mathematical and physics-based problem sets.
Structure
The suite is divided into two primary active domains:
- Calculus Suite (
calculus_instances.json): Focuses on 3D Lagrange multipliers, parametric equations, and core advanced mathematics. - Mechanics Suite (
mechanics_instances.json): Focuses on coplanar static forces, multi-sphere systems, and geometric equilibrium problems.
Intent & Usage
Created to bridge the gap between static dataset benchmarks and interactive, web-based evaluation. The files included here are designed to be paired with interactive frontend interfaces (HTML/JS) for seamless user evaluation.
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