Datasets:

JasonShiii
/

STEP-LLM-dataset

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label step_500-1000_image
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 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1995, in cast_array_to_feature
                  return feature.cast_storage(array)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1169, in cast_storage
                  [self._strval2int(label) if label is not None else None for label in storage.to_pylist()]
                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1098, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label step_500-1000_image

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STEP-LLM Dataset

Rendered multi-view images of ABC Dataset STEP files, used in our DATE 2026 paper:

"STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models"

Dataset Contents

Rendered JPEG images of CAD models from the ABC Dataset (NYU), organized by entity count. These images were used with GPT-4o to generate natural language captions for training STEP-LLM.

Folder	Entity range	# Models	Description
`step_under500_image/`	0–500 entities	~20k	Used in DATE 2026 paper
`step_500-1000_image/`	500–1000 entities	~17k	Ongoing journal extension

Each folder contains 10 per-chunk zip files (one per ABC dataset chunk abc_0001 – abc_0010):

step_under500_image/abc_000N_step_v00_under500_image.zip (~25 MB each)
step_500-1000_image/abc_000N_step_v00_500-1000.zip (~75–85 MB each)

Download

from huggingface_hub import hf_hub_download

# Download a single chunk (under-500 entities, chunk 1)
hf_hub_download(
    repo_id="JasonShiii/STEP-LLM-dataset",
    filename="step_under500_image/abc_0001_step_v00_under500_image.zip",
    repo_type="dataset",
    local_dir="./data"
)

Or download all chunks:

huggingface-cli download JasonShiii/STEP-LLM-dataset --repo-type dataset --local-dir ./data

Usage

These images are used in data_preparation/captioning.ipynb (see GitHub repo) to generate GPT-4o captions, which become the natural language training inputs for STEP-LLM.

The released captions are available directly in the GitHub repo (cad_captions_0-500.csv, cad_captions_500-1000.csv) — you do not need to download these images to train or run inference with STEP-LLM.

License

Images are derived from the ABC Dataset and released under CC BY 4.0.

Citation

@article{shi2026step,
  title={STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models},
  author={Shi, Xiangyu and Ding, Junyang and Zhao, Xu and Zhan, Sinong and Mohapatra, Payal
          and Quispe, Daniel and Welbeck, Kojo and Cao, Jian and Chen, Wei and Guo, Ping and others},
  journal={arXiv preprint arXiv:2601.12641},
  year={2026}
}

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Paper for JasonShiii/STEP-LLM-dataset

STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models

Paper • 2601.12641 • Published Jan 19