The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
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: Column(/rejected_candidates/[]/background_k_value) changed from object to number in row 0
During handling of the above exception, another exception occurred:
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 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
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.
Heat3D Thermal Simulation Dataset: Synthetic 3D Heat-Conduction Data for Operator Learning
This repository is the main dataset entry point for the Heat3D project. It is intended to collect multiple synthetic 3D heat-conduction subsets for operator learning research.
The root index currently highlights:
subsets/v0_unitcube_demo/: a prototype UnitCube dataset for checking data loading, 3D graph construction, training, and evaluation workflows.subsets/heat3d_v6_p1h_shared_support1024_v0/: the canonical V6 layered package dataset with 1,024 group-locked cases, one shared ordered 1,024-node support, and a reusable 240,825-node full-field archive.subsets/heat3d_v6_p1i_continuous_physics1024_v1/: the formal V6 random-block family used for P1i training and post-freeze evaluation, with 1,024 group-locked cases and a 240,825-node full-field sidecar.
Historical subset paths remain in place even when they are not listed in this short root index. All data are synthetic. The prototype subset is feasibility-oriented; the V6 P1h subset represents a frozen layered-package simulation contract but should not be interpreted as measured hardware data.
Repository Structure
README.md
DATASET_INDEX.md
metadata/
schema.md
versions.json
subsets/
v0_unitcube_demo/
README.md
metadata.json
samples/
sample_000/
sample_001/
...
heat3d_v6_p1h_shared_support1024_v0/
README.md
manifest.json
full_fields.h5
p1g_g000_t0_b0_p0/
...
heat3d_v6_p1i_continuous_physics1024_v1/
README.md
manifest.json
samples/
v6p1if1_0000/
...
full_fields/
full_fields.h5
sidecar_manifest.json
Current Subsets
See DATASET_INDEX.md for the subset list and version status.
Code and canonical V6 subset
The associated code repository is:
https://github.com/133754144/heat3d-ic
The default V6-layer subset used by the current codebase is:
subsets/heat3d_v6_p1h_shared_support1024_v0/
The formal V6 random-block training/evaluation family is:
subsets/heat3d_v6_p1i_continuous_physics1024_v1/
V6 model governance records V6_03 seed0 as the reference model,
V6_03 seed1/seed2 as replication runs, and V6_04 as the DualAttention
ablation. P1i test_iid results are confirmatory holdout evidence only; they
are not used to select a model or route. Sealed IID remains unopened.
The UnitCube subset remains available for lightweight workflow validation.
Related Code
The associated research codebase is:
https://github.com/133754144/heat3d-ic
Scope
This dataset family is designed to support steady 3D thermal field prediction from thermal conductivity fields and localized heat source fields. Future subsets may add more complex geometries, material interfaces, boundary conditions, package scenarios, TSV structures, micro-bumps, chiplet stacks, and transient heat-conduction settings.
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