INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
Paper • 2406.09105 • Published
Datasets:
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'count', 'claim', 'infection', 'species'}) and 8 missing columns ({'D', 'answer', 'A', 'B', 'category', 'l2-category', 'C', 'l3-category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/FDU-INS/INS-MMBench/multi_step_agri.tsv (at revision b77ea65c18c61108a32b811ca344308941ff8046)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
index: int64
image: string
species: string
count: int64
infection: string
claim: string
question: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1043
to
{'index': Value('int64'), 'question': Value('string'), 'answer': Value('string'), 'A': Value('string'), 'B': Value('string'), 'C': Value('string'), 'D': Value('string'), 'image': Value('string'), 'category': Value('string'), 'l2-category': Value('string'), 'l3-category': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'count', 'claim', 'infection', 'species'}) and 8 missing columns ({'D', 'answer', 'A', 'B', 'category', 'l2-category', 'C', 'l3-category'}).
This happened while the csv dataset builder was generating data using
hf://datasets/FDU-INS/INS-MMBench/multi_step_agri.tsv (at revision b77ea65c18c61108a32b811ca344308941ff8046)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
index int64 | question string | answer string | A string | B string | C string | D string | image string | category string | l2-category string | l3-category string |
|---|---|---|---|---|---|---|---|---|---|---|
1 | What is the license plate number of the vehicle in the image? | A | 115987F | 119587F | 115897F | 155987F | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | auto insurance | vehicle information extraction | license plate recognition |
2 | What is the license plate number of the vehicle in the image? | B | LVE0UR3 | LVEOUR3 | LVE0UR8 | LVOUR3 | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | auto insurance | vehicle information extraction | license plate recognition |
3 | What is the license plate number of the vehicle in the image? | C | EJTIS | ETSJI | EIJTS | EJITS | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | auto insurance | vehicle information extraction | license plate recognition |
4 | What is the license plate number of the vehicle in the image? | D | H4Q15 | 4HQ1S | 4QH15 | 4HQ15 | /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAKAAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh... | auto insurance | vehicle information extraction | license plate recognition |
5 | What is the license plate number of the vehicle in the image? | A | NK62DRZ | NK62DRY | NK62DRX | NK63DRZ | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
6 | What is the license plate number of the vehicle in the image? | B | MICHK | MICKH | MICRH | MIKCH | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
7 | What is the license plate number of the vehicle in the image? | C | 1550FHN | 1550FNK | 1550FNH | 155OFNH | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
8 | What is the license plate number of the vehicle in the image? | D | HNQU736 | HNQ637U | HNQU367 | HNQU637 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
9 | What is the license plate number of the vehicle in the image? | A | MI7I08FV1232 | MI7108FV1232 | MI7I0BFV1232 | M17I08FV1232 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
10 | What is the license plate number of the vehicle in the image? | B | 50393 | 53093 | 53039 | 53903 | "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDA(...TRUNCATED) | auto insurance | vehicle information extraction | license plate recognition |
End of preview.
INS-MMBench Dataset
INS-MMBench is the first comprehensive LVLMs benchmark for the insurance domain, proposed in our paper:
INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
📄Paper Link | 🐙GitHub Repository
Overview
INS-MMBench is the first comprehensive LVLMs benchmark for the insurance domain, it covers four representative insurance types: auto, property, health, and agricultural insurance and key insurance stages such as risk underwriting, risk monitoring and claim processing. INS-MMBench consists of three layers task:
- Fundamental task, which focuses on the understanding of individual insurance-related visual elements;
- Meta-task, which involves the compositional understanding of multiple insurance-related visual elements;
- Scenario task, which pertains to real-world insurance tasks requiring multi-step reasoning and decision-making.
INS-MMBench includes a total of 12,052 images, 10,372 thoroughly designed questions (including multiple-choice visual questions and free-text visual questions), comprehensively covering 5 scenario tasks, 12 meta-tasks and 22 fundamental tasks.
This dataset includes six TSV files, each corresponding to a specific task described in our paper:
| File Name | Task Type |
|---|---|
INS_MMBench_fundamental.tsv |
Fundamental Task |
multi_step_claim.tsv |
Scenario Task - Auto Insurance Claim Processing |
multi_step_liability.tsv |
Scenario Task - Auto Insurance Accident Liability Determination |
multi_step_health.tsv |
Scenario Task - Health Insurance Risk Assessment |
multi_step_property.tsv |
Scenario Task - Property Insurance Risk Management |
multi_step_agri.tsv |
Scenario Task - Agricultural Insurance Claim Processing |
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