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The dataset generation failed because of a cast error
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 11 new columns ({'in_F', 'bbox_diag_out', 'bbox_ratio', 'app', 'target_V', 'boundary_edges', 'bbox_diag_in', 'in_V', 'out_F', 'out_V', 'reached_target'}) and 14 missing columns ({'#f', 'status', '#v', 'min_length', 'avg_valence', 'target_vertices', 'wall_sec', 'max_length', 'nonmanifold_vertices', 'reason', 'target_length', 'avg_length', 'triangles', 'vertices'}).

This happened while the csv dataset builder was generating data using

hf://datasets/liuyibo/thingi10k-wmtk-simplification/verification/verification_full_qslim_sec_dedup.csv (at revision ea69283703234657aea0b6c24a2e5cf497febaf8), ['hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/qslim.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec_nolink.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_full_qslim_sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_sample1000_qslim_sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_sample1000_qslim_sec_nolink.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: int64
              app: string
              in_V: int64
              in_F: int64
              out_V: int64
              out_F: int64
              target_V: double
              reached_target: bool
              boundary_edges: int64
              nonmanifold_edges: int64
              bbox_diag_in: double
              bbox_diag_out: double
              bbox_ratio: double
              time_sec: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1898
              to
              {'id': Value('int64'), 'status': Value('string'), 'reason': Value('string'), 'wall_sec': Value('float64'), 'time_sec': Value('float64'), 'vertices': Value('float64'), 'triangles': Value('float64'), '#v': Value('float64'), '#f': Value('float64'), 'target_vertices': Value('float64'), 'target_length': Value('float64'), 'avg_length': Value('float64'), 'min_length': Value('float64'), 'max_length': Value('float64'), 'avg_valence': Value('float64'), 'nonmanifold_edges': Value('float64'), 'nonmanifold_vertices': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 11 new columns ({'in_F', 'bbox_diag_out', 'bbox_ratio', 'app', 'target_V', 'boundary_edges', 'bbox_diag_in', 'in_V', 'out_F', 'out_V', 'reached_target'}) and 14 missing columns ({'#f', 'status', '#v', 'min_length', 'avg_valence', 'target_vertices', 'wall_sec', 'max_length', 'nonmanifold_vertices', 'reason', 'target_length', 'avg_length', 'triangles', 'vertices'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/liuyibo/thingi10k-wmtk-simplification/verification/verification_full_qslim_sec_dedup.csv (at revision ea69283703234657aea0b6c24a2e5cf497febaf8), ['hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/qslim.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/summaries/sec_nolink.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_full_qslim_sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_sample1000_qslim_sec_dedup.csv', 'hf://datasets/liuyibo/thingi10k-wmtk-simplification@ea69283703234657aea0b6c24a2e5cf497febaf8/verification/verification_sample1000_qslim_sec_nolink.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.

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int64
status
string
reason
null
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float64
time_sec
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vertices
float64
triangles
float64
#v
null
#f
null
target_vertices
float64
target_length
null
avg_length
null
min_length
null
max_length
null
avg_valence
null
nonmanifold_edges
null
nonmanifold_vertices
null
100,026
success
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58
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34
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40
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33
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null
null
100,643
success
null
0.016
0.00172
8
12
null
null
8.8
null
null
null
null
null
null
null
100,644
success
null
0.114
0.043337
481
958
null
null
484.5
null
null
null
null
null
null
null
100,645
success
null
0.032
0.013267
149
274
null
null
152
null
null
null
null
null
null
null
100,646
success
null
0.114
0.045472
479
954
null
null
481.4
null
null
null
null
null
null
null
100,678
success
null
0.016
0.003866
20
40
null
null
21.8
null
null
null
null
null
null
null
100,679
success
null
0.016
0.003584
20
40
null
null
21.8
null
null
null
null
null
null
null
100,680
success
null
0.016
0.003428
19
38
null
null
21.8
null
null
null
null
null
null
null
100,681
success
null
0.016
0.003869
20
40
null
null
21.8
null
null
null
null
null
null
null
100,682
success
null
0.032
0.006466
73
130
null
null
75.4
null
null
null
null
null
null
null
100,727
success
null
0.064
0.016487
160
320
null
null
162.1
null
null
null
null
null
null
null
100,728
success
null
0.008
0.001753
5
6
null
null
5.6
null
null
null
null
null
null
null
100,729
success
null
0.064
0.015573
167
342
null
null
170.9
null
null
null
null
null
null
null
100,730
success
null
0.064
0.018247
212
424
null
null
214.9
null
null
null
null
null
null
null
End of preview.

Thingi10K simplified by qslim and shortest edge collapse

Simplified versions of all 10,000 Thingi10K models produced with the wildmeshing-toolkit components qslim and shortest_edge_collapse, at target_rel = 0.1 (keep 10 % of the input vertices).

Generated on 2026-10-06/07 with wmtk_app built from upstream commit 76396a0a89. The driver and the checking scripts are in the code repository (run_component_sweep.py, verify_results.py) and the full analysis is in report/thingi10k_qslim_sec.md.

Contents

File What it is
qslim.tar.gz qslim outputs, defaults (target_rel=0.1) — 9992 models
sec_dedup.tar.gz shortest edge collapse with remove_duplicate_eps=1e-5 — 9992 models
sec_nolink.tar.gz shortest edge collapse with remove_duplicate_eps=1e-5 and use_link_condition=false — 9992 models
summaries/ per-run summary.csv (per-model vertices/faces/time from the component reports)
verification/ per-model checks: target reached, manifold/boundary edges, bbox agreement
plots/ input-vs-output wireframe comparisons for a few models
report/ the full write-up, including the termination criteria analysis

Each archive unpacks to <run>/success/<model_id>/ with, per model:

  • config.json — the exact spec the component was called with
  • <model_id>.out.obj — the simplified mesh
  • report.json — component report (qslim only; shortest edge collapse writes none)
  • console.log, run.log, wall_sec — logs and wall-clock time

8 models fail in every run; they are in <run>/failure/<model_id>/ with a reason file. These are input defects, not algorithm failures (malformed OBJ normals, STL with no faces, one truncated STL).

How it was generated

python3 run_component_sweep.py --application qslim \
    --input-dir <thingi10k>/raw_meshes --out runs/qslim \
    --threads 4 --parallel 24 --timeout 600

python3 run_component_sweep.py --application shortest_edge_collapse \
    --input-dir <thingi10k>/raw_meshes --out runs/sec_dedup \
    --threads 4 --parallel 24 --timeout 600 \
    --param remove_duplicate_eps=1e-5

python3 run_component_sweep.py --application shortest_edge_collapse \
    --input-dir <thingi10k>/raw_meshes --out runs/sec_nolink \
    --threads 4 --parallel 24 --timeout 600 \
    --param remove_duplicate_eps=1e-5 --param use_link_condition=false

Numbers

Reached the target vertex count (out of 9992 successful models, recovered from the run logs):

run reached target
qslim 9184 (91.9 %)
sec_dedup 9134 (91.4 %)
sec_nolink 9736 (97.4 %)

Full verification over 19,984 outputs (qslim + sec_dedup): 18,182 reached the target, 2,007 outputs contain non-manifold edges.

Known caveats

  • A shortest edge collapse run with default parameters is useless on STL. With remove_duplicate_eps=-1 (the default) the STL is loaded as a triangle soup and no edge can be collapsed, so the output equals the input. That run is not included here; summaries/sec_default_summary.csv documents it.
  • Heavily non-manifold inputs stall both components when the link condition is on (e.g. model 51351 stays at 8,700 vertices). Turning use_link_condition=false fixes those but produces non-manifold outputs (11 % → 68 % of sampled outputs).
  • The stop rule is purely count-based: it stops after V0 − target − 1 successful collapses. There is no error/quality threshold, and a run that cannot reach the target still exits 0 unless throw_on_fail=true.
  • The bounding-box column in verification/ is computed over all vertices written to the OBJ, including slots the writer left unused; extreme ratios there are a measurement artifact, not real deformation. Use the Chamfer numbers in the report for shape fidelity (typically ~0.005 of the model size).

Licence

The models are derived from Thingi10K; each retains the licence of its original Thingiverse upload. Check the source model's licence before any commercial use.

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