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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
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 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 value

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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.

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/
    ...

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 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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