Datasets:

thomeboi
/

FORGE-Bench

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<assembly_id: string, edges: list<item: struct<from: string, relation: string, to: string>>, claim_boundary: struct<expected_contacts_are_not_continuous_collision_proof: bool>, schema_version: string, status: string>
to
{'assembly_id': Value('string'), 'available': Value('bool'), 'edges': List(Value('null')), 'reason': Value('string'), 'source_edge_count': Value('int64'), 'status': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2315, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2071, in cast_array_to_feature
                  _c(children[name] if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<assembly_id: string, edges: list<item: struct<from: string, relation: string, to: string>>, claim_boundary: struct<expected_contacts_are_not_continuous_collision_proof: bool>, schema_version: string, status: string>
              to
              {'assembly_id': Value('string'), 'available': Value('bool'), 'edges': List(Value('null')), 'reason': Value('string'), 'source_edge_count': Value('int64'), 'status': Value('string')}
              
              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/parquet_and_info.py", line 1379, 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 956, 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 1702, 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 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id string	assembly_id string	split string	public_task dict	reference_output dict
linear_slider_structure_train_000772	linear_slider_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "objective": "restore_to_target_state", "minima...
cylinder_structure_val_001022	cylinder_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "cylinder_structure", "assembly_name": "CylinderStructure", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "cylinder_structure", "assembly_name": "CylinderStructure", "objective": "restore_to_target_state", "minimality": "reference_...
linear_slider_structure_train_003287	linear_slider_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "objective": "restore_to_target_state", "minima...
knotty_6_structure_train_000509	knotty_6_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "knotty_6_structure", "assembly_name": "Knotty6Structure", "pass": false, "mistakes": [ { "type": "wrong_orientation", "part_id": "Knotty6Structure_Part03", "rotation_axis": "z", "rotation_angle_deg": 270, "rotation_delta_d...
gearbox_structure_train_000024	gearbox_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "gearbox_structure", "assembly_name": "GearboxStructure", "pass": false, "mistakes": [ { "type": "misalignment", "part_id": "GearboxStructure_Part01_Shaft", "subtype": "pose_offset", "translation_delta": [ 0.01, ...
luban_chinese_cross_train_001788	luban_chinese_cross	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "luban_chinese_cross", "assembly_name": "LubanChineseCross", "pass": false, "mistakes": [ { "type": "multi_fault", "part_id": "ChineseCross_PartO1", "primary_part_id": "ChineseCross_PartO1", "secondary_part_id": "ChineseCross_PartO...
sliding_interlocking_structure_train_003705	sliding_interlocking_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "sliding_interlocking_structure", "assembly_name": "SlidingInterlockingStructure", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "sliding_interlocking_structure", "assembly_name": "SlidingInterlockingStructure", "objective": "restore_t...
linear_slider_structure_train_003306	linear_slider_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "linear_slider_structure", "assembly_name": "LinearSliderStructure", "objective": "restore_to_target_state", "minima...
luban_9_pillars_train_002948	luban_9_pillars	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "luban_9_pillars", "assembly_name": "Luban9Pillars", "pass": true, "mistakes": [] }, "rework_plan": { "assembly_id": "luban_9_pillars", "assembly_name": "Luban9Pillars", "objective": "restore_to_target_state", "minimality": "reference_relative_verif...
parametric_bridge_lock_06_v15_train_0010	parametric_bridge_lock_06	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "parametric_bridge_lock_06", "assembly_name": "parametric_bridge_lock_06", "pass": false, "mistakes": [ { "type": "misalignment", "part_id": "ParametricBridgeLock06_Part04", "subtype": "pose_offset" } ] }, "rework_plan": { ...
spherical_6_pillars_train_002278	spherical_6_pillars	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "spherical_6_pillars", "assembly_name": "Spherical6Pillars", "pass": false, "mistakes": [ { "type": "misalignment", "part_id": "Spherical6Pillars_Part02", "subtype": "pose_offset", "translation_delta": [ 0, 0, ...
luban_chinese_cross_train_001830	luban_chinese_cross	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "luban_chinese_cross", "assembly_name": "LubanChineseCross", "pass": false, "mistakes": [ { "type": "misalignment", "part_id": "ChineseCross_PartO4", "subtype": "pose_offset", "translation_delta": [ 0.01, 0, ...
triangle_dovetail_structure_val_000704	triangle_dovetail_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "triangle_dovetail_structure", "assembly_name": "TriangleDovetailStructure", "pass": false, "mistakes": [ { "type": "misalignment", "part_id": "TriangleDovetailStructure_Part03", "subtype": "pose_offset", "translation_delta": [ ...
sliding_interlocking_structure_train_002098	sliding_interlocking_structure	train	{ "action_space": { "actions": [ { "name": "remove", "params": [ "part_id" ] }, { "name": "insert", "params": [ "part_id" ] }, { "name": "reset_pose", "params": [ "part_id" ] }...	{ "annotation": { "assembly_id": "sliding_interlocking_structure", "assembly_name": "SlidingInterlockingStructure", "pass": false, "mistakes": [ { "type": "under_inserted", "part_id": "SlidingInterlockingStructure_Part07", "subtype": "partial_insertion", "translat...

End of preview.

FORGE-Bench

FORGE-Bench is the public dataset for Forge Fault-Oriented Rework Code Generation for Executable Interlocking Assembly. It contains structured interlocking-assembly states and executable rework supervision. This release is aligned with the paper's final v15 protocol.

Files

final_dataset/
├── README.md
├── data_types.py
├── train.jsonl
├── test.jsonl
└── metadata/
    ├── dataset_manifest.json
    ├── assembly_manifest.json
    └── fault_composition.json

The release uses JSONL. No Parquet file is required.

Splits

Split	Rows	Assemblies	Labels
train	3,000	21	reference output included
test	1,000	5 held-out	public task input only

There is no validation split. Train and test assemblies are disjoint.

Dataset composition

The 4,000-task benchmark contains 1,115 no-fault cases, 2,353 single-fault cases, 532 multi-fault cases, and 160 counterfactual fault/no-fault pairs.

Record format

Each record has id, assembly_id, split, and public_task. The public task contains:

task
initial_state
target_state
actual_state
assembly_graph
blocking_graph
contact_graph
constraint_graph
action_space
part_catalog

Train records additionally contain reference_output, whose top-level fields are exactly annotation and rework_plan. Test records contain no reference output.

The v15 action space contains remove, insert, reset_pose, replace, rotate_translate_to_unlock, and translate_rotate_to_lock.

Loading

import json

with open("train.jsonl", encoding="utf-8") as f:
    train = [json.loads(line) for line in f if line.strip()]

with open("test.jsonl", encoding="utf-8") as f:
    test = [json.loads(line) for line in f if line.strip()]

The verification scope is symbolic state transition, target restoration, and reference-sequence minimality. Continuous collision-free physics is outside the claim boundary.

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