Datasets:

CAD-bench
/

cad-bench-ed-2026-anonymous-full

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 246, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/distribution/[]/includes) changed from string to array in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 97, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 106, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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CAD-bench Full Reviewer Artifact

This dataset contains the full anonymous CAD-bench reviewer artifact. It includes the public task payloads, reported result JSON, source archive, and provenance report artifacts for the runs used by the paper tables.

Each task directory includes:

prompt.txt: the natural-language benchmark prompt
task.toml: task metadata, difficulty, evaluator name, and expected values
gold.py: a reference Build123D solution used for validation and media generation
optional fixtures such as STEP files or Blender simulation scripts

The results/cad-bench-reported-results.json artifact contains every complete 17-task row from the CAD-bench website payload used by the paper tables. The JSON separates 19 standalone model rows from 32 agent rows.

The provenance/ directory mirrors the approved run manifest and downloaded report artifacts for the published rows. The code/ directory contains the anonymous source archive for the benchmark runtime and scoring code.

For task-only runtime loading, use the companion task dataset:

HF_TASKS_REPO_ID=CAD-bench/cad-bench-ed-2026-anonymous-tasks

Intended Use

Use this dataset with the CAD-bench runtime to evaluate CAD code-generation or agentic CAD systems. Scores are diagnostic benchmark signals; they are not certifications that generated mechanical parts are safe to manufacture or deploy.

Data Provenance

The tasks are synthetic CAD prompts and benchmark metadata authored for this benchmark. They do not contain personal data or human-subject records. The M3 socket-head task includes a STEP fixture for a standard commercial fastener, documented in the task metadata and paper license table.

Licensing

Authored benchmark code, prompts, task metadata, and reference programs are released under MIT. The M3 socket-head screw fixture is a McMaster-Carr CAD download for part 91290A111; use of that fixture is governed by McMaster-Carr's website and CAD download terms.

Limitations

The release has 17 tasks. Some simple geometry tasks are close to solved by current models, while functional assembly tasks remain difficult. The current reference implementations use Build123D, although the benchmark is intended to score submitted CAD artifacts rather than a particular modeling API.

Citation

Anonymous Author(s). CAD-bench: An Executable Benchmark for Language-Model CAD Agents. NeurIPS Evaluations & Datasets submission, 2026.

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