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zpointsun
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DiBO-DesignBench-Snapshot

ArXiv:
Tags:
design-bench
black-box-optimization
offline-black-box-optimization
reproducibility
dibo
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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 "/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 254, in _generate_tables
                  ujson_dumps({"text": x}) for x in ujson_loads(full_data)
                                                    ~~~~~~~~~~~^^^^^^^^^^^
                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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DiBO Design-Bench Reproducibility Snapshot

This repository contains the exact design_bench_data.zip snapshot used in the experiments for Training Diffusion Language Models for Black-Box Optimization. The artifact supports reproduction of the released DiBO training, data-preparation, and evaluation workflows.

Scope

This repository is a DiBO reproducibility snapshot. It is not presented as the official, canonical, complete, or latest Design-Bench distribution.

Users reproducing the released DiBO experiments should use this snapshot. For upstream Design-Bench software, task definitions, and documentation, see Design-Bench. For a more comprehensive community-maintained/reference data mirror, see beckhamc/design_bench_data.

Comparison with the reference mirror

The snapshot was compared file-by-file with revision 79006c5105c6d0da75b2d9b599f31a5e74136778 of beckhamc/design_bench_data. After removing the local archive's top-level design_bench_data/ prefix:

  • 244 file paths were shared;
  • all 244 shared files were byte-identical;
  • every shared file used by TFBind8, TFBind10, Ant Morphology, and D'Kitty Morphology was byte-identical;
  • the local snapshot and the reference mirror differ in coverage.

The DiBO snapshot is smaller and does not contain every task or auxiliary file in the more comprehensive reference mirror. See SOURCE_COMPARISON.md for exact methodology, task-level counts, local-only files, reference-only files, and hashes.

Important preprocessing note

design_bench_data.zip is not itself the final DiBO data/ directory. Unzipping it does not directly produce all DiBO-specific task bundles, relabeled morphology scores, prompt artifacts, reward statistics, or normalization metadata. Use the released DiBO data-preparation pipeline and follow data/README.md and docs/installation.md.

Download 

hf download zpointsun/DiBO-DesignBench-Snapshot design_bench_data.zip \
  --repo-type dataset --revision v1.0.0 --local-dir data/downloads

python scripts/prepare_design_bench_data.py \
  --archive data/downloads/design_bench_data.zip

Artifact details

  • Archive: design_bench_data.zip
  • Archive byte size: 142,923,783
  • Archive SHA-256: 6a642d8b78f79ffb82ee6d7b73e2c4569c92e2f31a325cea32c4e7ef68e32e81
  • ZIP entries: 261 (247 files and 14 directories)
  • Uncompressed bytes: 593,018,567

The complete decompressed-member manifest is in FILE_MANIFEST.csv.

Citation

If you find DiBO helpful, please cite:

@article{sun2026training,
  title={Training diffusion language models for black-box optimization},
  author={Sun, Zipeng and Chen, Can and Yuan, Ye and Wu, Haolun and Gu, Jiayao and Pal, Christopher and Liu, Xue},
  journal={arXiv preprint arXiv:2603.17919},
  year={2026}
}
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