hchoi256/mba
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<technical_type: string, source_dataset_label: string, has_template_image: bool, has_defect_annotation: bool, visual_cues_for_ideation: list<item: string>>
to
{'scene_category': Value('string'), 'object_summary': List({'class_id': Value('int64'), 'name': Value('string'), 'area_ratio': Value('float64')}), 'ideation_relevant_cues': List(Value('string'))}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, 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 1852, 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 2149, 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<technical_type: string, source_dataset_label: string, has_template_image: bool, has_defect_annotation: bool, visual_cues_for_ideation: list<item: string>>
to
{'scene_category': Value('string'), 'object_summary': List({'class_id': Value('int64'), 'name': Value('string'), 'area_ratio': Value('float64')}), 'ideation_relevant_cues': List(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 1369, 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 948, 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 1683, 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 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
schema_version string | sample_id string | domain string | domain_display_name string | source_dataset string | image_path string | domain_question string | results list | generation_stage string | visual_annotation dict | selected_image_path string | raw_image_path string | _merge_provenance dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
aistar_marketdb | ADE_val_00000003 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000003.jpg | Identify market-grounded startup opportunities from visible objects, activities, spatial context, and everyday physical-environment needs. | [
{
"business_lens": "cost_resource_efficiency",
"core_retrieval_queries": [
"urban road maintenance cost reduction strategies",
"sustainable pavement materials for urban roads",
"energy-efficient street lighting solutions",
"waste reduction in public transportation systems",
"co... | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {
"scene_category": "access_road",
"object_summary": [
{
"class_id": 7,
"name": "route",
"area_ratio": 0.250692
},
{
"class_id": 12,
"name": "pavement",
"area_ratio": 0.18765
},
{
"class_id": 97,
"name": "moving staircase, moving stairway",
"... | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000003.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000003.jpg | {
"expert_source": "aistar",
"manifest_source": "aistar",
"ddg_source": "aistar",
"image_caption_source": "aistar",
"original_image_path": "/workspace/data/aistar/source_images/general/ade20k/images/ADE_val_00000003.jpg",
"replacement_policy": "aistar_verified_baseline"
} |
aistar_marketdb | ADE_val_00000009 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000009.jpg | Identify market-grounded startup opportunities from visible objects, activities, spatial context, and everyday physical-environment needs. | [
{
"business_lens": "cost_resource_efficiency",
"core_retrieval_queries": [
"airport terminal energy efficiency solutions",
"sustainable materials for airport furniture",
"waste reduction strategies in airport operations",
"cost-effective airport signage systems",
"resource-effi... | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {
"scene_category": "airport_terminal",
"object_summary": [
{
"class_id": 16,
"name": "table",
"area_ratio": 0.060776
},
{
"class_id": 44,
"name": "sign",
"area_ratio": 0.038719
},
{
"class_id": 9,
"name": "window",
"area_ratio": 0.028112
... | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000009.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000009.jpg | {
"expert_source": "aistar",
"manifest_source": "aistar",
"ddg_source": "aistar",
"image_caption_source": "aistar",
"original_image_path": "/workspace/data/aistar/source_images/general/ade20k/images/ADE_val_00000009.jpg",
"replacement_policy": "aistar_verified_baseline"
} |
aistar_marketdb | ADE_val_00000010 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000010.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient lighting so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"airport_terminal","object_summary":[{"class_id":43,"name":"pillar","area_ratio":0(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000010.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000010.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000011 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000011.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["airport terminal energy effi(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"airport_terminal","object_summary":[{"class_id":13,"name":"individual, someone, s(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000011.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000011.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000012 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000012.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["airport energy efficiency so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"airport_ticket_counter","object_summary":[{"class_id":13,"name":"individual, some(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000012.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000012.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000013 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000013.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient lighting so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"alcove","object_summary":[{"class_id":8,"name":"bed","area_ratio":0.258242},{"cla(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000013.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000013.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000029 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000029.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient lighting so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"archive","object_summary":[{"class_id":13,"name":"individual, someone, somebody, (...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000029.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000029.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000038 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000038.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient lighting so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"art_studio","object_summary":[{"class_id":23,"name":"picture","area_ratio":0.1408(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000038.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000038.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000044 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000044.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient lighting so(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"atrium_public","object_summary":[{"class_id":43,"name":"pillar","area_ratio":0.29(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000044.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000044.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
aistar_marketdb | ADE_val_00000045 | general_scene | General Scene | ade20k | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000045.jpg | "Identify market-grounded startup opportunities from visible objects, activities, spatial context, a(...TRUNCATED) | [{"business_lens":"cost_resource_efficiency","core_retrieval_queries":["energy-efficient attic insul(...TRUNCATED) | aistar_marketdb_5query_5evidence_5structured_json_idea_pairs | {"scene_category":"attic","object_summary":[{"class_id":8,"name":"bed","area_ratio":0.392938},{"clas(...TRUNCATED) | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000045.jpg | /workspace/data/mba/source_images/general_scene/images/ADE_val_00000045.jpg | {"expert_source":"aistar","manifest_source":"aistar","ddg_source":"aistar","image_caption_source":"a(...TRUNCATED) |
End of preview.
MBA-Bench
Official benchmark dataset for MBA: Multimodal Benchmark and Agents for Real-World Business Ideation.
- Paper: https://arxiv.org/abs/2608.11616
- Code: https://github.com/hchoi256/mba
- Models: https://huggingface.co/hchoi256/mba
Dataset Description
MBA-Bench is a multimodal benchmark for evaluating real-world business ideation capabilities.
The dataset contains multimodal benchmark samples together with their source images and associated metadata.
Citation
If you use MBA-Bench in your research, please cite:
@misc{choi2026mbamultimodalbenchmarkagents,
title={MBA: Multimodal Benchmark and Agents for Real-World Business Ideation},
author={Hojun Choi and Jaeyo Shin and Suin Lee and Hyunjung Shim},
year={2026},
eprint={2608.11616},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2608.11616},
}
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