The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
subset_name: string
description: string
sample_count: int64
mesh_type: string
fields: struct<coords.npy: string, temperature.npy: string, k.npy: string, source.npy: string, edge_index.np (... 10 chars omitted)
child 0, coords.npy: string
child 1, temperature.npy: string
child 2, k.npy: string
child 3, source.npy: string
child 4, edge_index.npy: string
limitations: list<item: string>
child 0, item: string
subsets: list<item: struct<name: string, status: string, path: string, short_description: string>>
child 0, item: struct<name: string, status: string, path: string, short_description: string>
child 0, name: string
child 1, status: string
child 2, path: string
child 3, short_description: string
to
{'subsets': List({'name': Value('string'), 'status': Value('string'), 'path': Value('string'), 'short_description': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
subset_name: string
description: string
sample_count: int64
mesh_type: string
fields: struct<coords.npy: string, temperature.npy: string, k.npy: string, source.npy: string, edge_index.np (... 10 chars omitted)
child 0, coords.npy: string
child 1, temperature.npy: string
child 2, k.npy: string
child 3, source.npy: string
child 4, edge_index.npy: string
limitations: list<item: string>
child 0, item: string
subsets: list<item: struct<name: string, status: string, path: string, short_description: string>>
child 0, item: struct<name: string, status: string, path: string, short_description: string>
child 0, name: string
child 1, status: string
child 2, path: string
child 3, short_description: string
to
{'subsets': List({'name': Value('string'), 'status': Value('string'), 'path': Value('string'), 'short_description': Value('string')})}
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.
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 current public release contains one subset:
subsets/v0_unitcube_demo/: a prototype UnitCube dataset for checking data loading, 3D graph construction, training, and evaluation workflows.
The data is synthetic and feasibility-oriented. It should not be interpreted as a complete real 3D IC, chiplet, TSV, or package thermal dataset.
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/
...
Current Subsets
See DATASET_INDEX.md for the subset list and version status.
Code And Current Public Subset
The associated code repository is:
https://github.com/133754144/heat3d-ic
The current public subset used by the codebase is:
subsets/v0_unitcube_demo/
For local runs, place the sample_xxx/ directories from
subsets/v0_unitcube_demo/samples/ under ./dataset_3d_heat/ in the code
repository checkout.
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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