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DamianBoborzi
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gamescom2025

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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
description: string
total_count: int64
last_updated: string
generations: list<item: struct<print_number: string, prompt: string, timestamp: string, has_stl: bool, has_glb: bool, has_preview: bool>>
vs
print_number: string
prompt: string
timestamp: string
files: struct<stl: string, glb: string, preview: string>
guidance_scale: double
num_inference_steps: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              description: string
              total_count: int64
              last_updated: string
              generations: list<item: struct<print_number: string, prompt: string, timestamp: string, has_stl: bool, has_glb: bool, has_preview: bool>>
              vs
              print_number: string
              prompt: string
              timestamp: string
              files: struct<stl: string, glb: string, preview: string>
              guidance_scale: double
              num_inference_steps: int64

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Gamescom 2025 - Text-to-3D Generations

This dataset contains 3D models generated at Gamescom 2025 using AI text-to-3D technology.

Contents

  • stl_files/: Ready-to-print STL files with numbered bases
  • glb_files/: Original GLB 3D models
  • preview_images/: Preview images of the generated objects
  • metadata/: JSON files with generation details

File Naming Convention

Files are numbered sequentially (0001, 0002, etc.) with the print number engraved on the base for easy identification.

Usage

You can download your generated model using the print number you received at the event.

Finding Your Model

  1. Note your print number (e.g., 0001)
  2. Download the corresponding STL file from stl_files/ for 3D printing
  3. Or download the GLB file from glb_files/ for viewing in 3D software

License

These models were generated at a public event and are provided as-is for personal use.

Generated with FLUX + TRELLIS AI models at Gamescom 2025

Software developed as part of a research project at the Chair of mechatronics, University of Augsburg

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