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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'yield'}) and 1 missing columns ({'E'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pxy1118/LoGIC-Dataset/CNN/dataset/yield.csv (at revision f1e12ee3460498a386781e573bd45fff17b794c2), [/tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/E.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/E.csv), /tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/yield.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/yield.csv), /tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/GNN/dataset/simulation_results.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/GNN/dataset/simulation_results.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
sample: int64
yield: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 481
to
{'sample': Value('int64'), 'E': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'yield'}) and 1 missing columns ({'E'}).
This happened while the csv dataset builder was generating data using
hf://datasets/pxy1118/LoGIC-Dataset/CNN/dataset/yield.csv (at revision f1e12ee3460498a386781e573bd45fff17b794c2), [/tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/E.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/E.csv), /tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/yield.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/CNN/dataset/yield.csv), /tmp/hf-datasets-cache/medium/datasets/21465873646069-config-parquet-and-info-pxy1118-LoGIC-Dataset-28f02ee1/hub/datasets--pxy1118--LoGIC-Dataset/snapshots/f1e12ee3460498a386781e573bd45fff17b794c2/GNN/dataset/simulation_results.csv (origin=hf://datasets/pxy1118/LoGIC-Dataset@f1e12ee3460498a386781e573bd45fff17b794c2/GNN/dataset/simulation_results.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sample int64 | E float64 |
|---|---|
0 | 13,910.53 |
1 | 12,108.18 |
2 | 9,724.58 |
3 | 14,060.1 |
4 | 13,510.48 |
5 | 10,513.81 |
6 | 12,474.13 |
7 | 12,093.88 |
8 | 14,671.94 |
9 | 12,683.2 |
10 | 16,299.92 |
11 | 11,449.38 |
12 | 11,761.27 |
13 | 11,098.52 |
14 | 11,813.04 |
15 | 13,964.92 |
16 | 10,421.23 |
17 | 11,427.71 |
18 | 13,301.94 |
19 | 11,605.15 |
20 | 11,806.03 |
21 | 11,361.61 |
22 | 13,387.51 |
23 | 11,248.6 |
24 | 13,530.49 |
25 | 10,670.45 |
26 | 10,817.19 |
27 | 16,773.37 |
28 | 15,558.68 |
29 | 11,774.08 |
30 | 11,566.5 |
31 | 11,919.1 |
32 | 11,600.79 |
33 | 14,364.65 |
34 | 13,918.87 |
35 | 12,013.71 |
36 | 15,708.81 |
37 | 13,456.85 |
38 | 12,165.46 |
39 | 11,427.13 |
40 | 10,573.54 |
41 | 15,423.62 |
42 | 13,064.6 |
43 | 16,798.07 |
44 | 12,046.93 |
45 | 15,327.07 |
46 | 10,820.04 |
47 | 12,144.22 |
48 | 14,206.42 |
49 | 14,634.77 |
50 | 12,146.53 |
51 | 12,644.01 |
52 | 12,879.16 |
53 | 10,704.96 |
54 | 10,135.37 |
55 | 12,138.01 |
56 | 12,122.98 |
57 | 12,462.92 |
58 | 11,399.03 |
59 | 14,336.32 |
60 | 13,250.26 |
61 | 13,132.01 |
62 | 11,451.34 |
63 | 14,465.95 |
64 | 9,710.44 |
65 | 11,340.39 |
66 | 12,500.65 |
67 | 10,005.38 |
68 | 12,347.3 |
69 | 10,687.46 |
70 | 12,149.87 |
71 | 12,296.83 |
72 | 13,161.11 |
73 | 13,617.1 |
74 | 10,881.85 |
75 | 17,245.27 |
76 | 12,509.05 |
77 | 15,189.71 |
78 | 14,111.91 |
79 | 9,914.22 |
80 | 11,867.47 |
81 | 10,229.67 |
82 | 10,264.55 |
83 | 14,973.12 |
84 | 11,735.91 |
85 | 10,086.75 |
86 | 12,012.25 |
87 | 13,854.02 |
88 | 11,230.21 |
89 | 12,086.13 |
90 | 10,366.22 |
91 | 14,140.84 |
92 | 12,445.33 |
93 | 12,899.42 |
94 | 13,036.36 |
95 | 13,077.27 |
96 | 15,027.71 |
97 | 15,616.78 |
98 | 13,928.44 |
99 | 13,225.6 |
LoGIC-Dataset
LoGIC-Dataset is a research dataset associated with the LoGIC-Design framework for heterogeneous triply periodic minimal surface (TPMS) architectures.
The dataset supports data-driven performance prediction of heterogeneous TPMS porous architectures generated using low-dimensional control grids. It includes geometry-related data and simulation-derived labels for mechanical and transport property prediction.
Associated code
The source code of the LoGIC-Design framework is publicly available at:
https://github.com/pxy1118/LoGIC
The archived software release is available on Zenodo:
https://doi.org/10.5281/zenodo.20411608
Dataset description
The dataset contains heterogeneous TPMS architectures generated using the LoGIC-Design framework. The framework encodes topology distribution, lattice orientation, and local density using compact 3 × 3 × 3 control grids.
The dataset includes two main groups of simulation-derived labels:
- Mechanical response data obtained from finite element analysis, including stress–strain response labels.
- Transport property data obtained from computational fluid dynamics simulations, including permeability and pressure-drop-related labels.
In the associated manuscript, the mechanical response dataset contains 200 heterogeneous TPMS structures, and the permeability dataset contains 600 heterogeneous TPMS structures.
Intended use
This dataset is intended for:
- Data-driven prediction of mechanical response in heterogeneous TPMS architectures.
- Permeability and pressure-drop prediction for porous structures.
- Benchmarking surrogate models for structure–property prediction.
- Reproducible research on heterogeneous porous metamaterials.
- Future inverse design and human–AI collaborative design of TPMS-based architectures.
Citation
If you use this dataset, please cite the associated manuscript and the dataset DOI.
Associated software DOI:
https://doi.org/10.5281/zenodo.20411608
Dataset DOI:
https://doi.org/10.57967/hf/8949
License
This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Contact
Xiaoyue Pan
College of Information Engineering, Zhejiang University of Technology
ORCID: 0009-0005-6098-5571
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